Identifying use cases is one of the most important steps in the software requirement analysis. This paper makes a literature review over use cases and then presents six taxonomies for them. The first taxonomy is based on the level of functionality of a system in a domain. The second taxonomy is based on primacy of functionality and the third one relies on essentialness of functionality of the system. The fourth taxonomy is concerned with supporting of functionality. The fifth taxonomy is based on the boundary of functionality and the sixth one is related to generalization/specialization relation. Then the use cases are evaluated in a case study in a control command police system. Several guidelines are recommended for developing use cases and their refinement, based on some
practical experience obtained from the evaluation.
The document provides guidance on developing use case models for a system. It defines key concepts like actors, use cases, include and extend relationships. It explains that use cases describe interactions between actors and the system to achieve goals. The document also provides examples of use case diagrams and descriptions to illustrate how to identify actors and use cases, and describe typical and alternative flows and exceptions. It emphasizes that use cases specify expected behavior from the user's perspective without detailing implementation.
SE_Lec 05_System Modelling and Context ModelAmr E. Mohamed
System modeling is the process of developing abstract models of a system using graphical notations like the Unified Modeling Language (UML) to represent different views of a system. Models help analysts understand system functionality and communicate with customers. Models of existing and new systems are used during requirements engineering to clarify current systems, discuss strengths/weaknesses, and explain proposed requirements.
The document discusses context models and their use in system modeling. Context models illustrate the operational context of a system by showing what lies outside its boundaries, including other systems in the environment. They help define a system's boundaries and show how IT applications fit into the context of people and organizations. Two examples are provided: (1) a Mental Health Care Patient Management System (MHC-PMS) and its connections to other clinical systems; (2) an Automated Teller Machine (ATM) and its links to banking systems. Context models on their own do not show relationships between external systems, so additional models are needed.
The document discusses use case modeling and diagrams. It defines a use case as a sequence of actions a system performs that yields an observable result for an actor. Use case diagrams depict the interactions between actors and the services (use cases) provided by the system. They help identify the classes needed for the system and provide a starting point for requirements, analysis, design, testing, and documentation. The example models the use cases for a bank that offers savings, checking, fixed deposit accounts and ATM services.
Unit 4- Software Engineering System Model Notes arvind pandey
This document discusses system modeling techniques used in software engineering. It covers context models, behavioral models, data models, object models, and CASE workbenches. Different types of models present the system from external, behavioral, and structural perspectives. Common model types include data processing, composition, architectural, and classification models. The document provides examples of context models, state machine models, data flow diagrams, and object models. It also discusses semantic data models, object behavior modeling with sequence diagrams, and components of analysis and design workbenches.
The document discusses different types of system models used in requirements engineering including context models, behavioral models, data models, and object models. It describes modeling the system's behavior using data flow diagrams and state machine diagrams. The document also introduces the Unified Modeling Language (UML) and how computer-aided software engineering (CASE) tools can support system modeling.
This document provides an overview of use case diagrams in object oriented design and analysis. It defines key components of a use case diagram including actors, use cases, the system boundary, and relationships between these elements. Actors represent people or systems that interact with the system, while use cases describe specific functions or services provided by the system. Relationships such as include, extend, and association are used to connect actors to use cases and illustrate how use cases relate to each other. The purpose of a use case diagram is to depict the functionality of a system from the user's perspective and illustrate the developer's understanding of user requirements.
The document provides guidance on developing use case models for a system. It defines key concepts like actors, use cases, include and extend relationships. It explains that use cases describe interactions between actors and the system to achieve goals. The document also provides examples of use case diagrams and descriptions to illustrate how to identify actors and use cases, and describe typical and alternative flows and exceptions. It emphasizes that use cases specify expected behavior from the user's perspective without detailing implementation.
SE_Lec 05_System Modelling and Context ModelAmr E. Mohamed
System modeling is the process of developing abstract models of a system using graphical notations like the Unified Modeling Language (UML) to represent different views of a system. Models help analysts understand system functionality and communicate with customers. Models of existing and new systems are used during requirements engineering to clarify current systems, discuss strengths/weaknesses, and explain proposed requirements.
The document discusses context models and their use in system modeling. Context models illustrate the operational context of a system by showing what lies outside its boundaries, including other systems in the environment. They help define a system's boundaries and show how IT applications fit into the context of people and organizations. Two examples are provided: (1) a Mental Health Care Patient Management System (MHC-PMS) and its connections to other clinical systems; (2) an Automated Teller Machine (ATM) and its links to banking systems. Context models on their own do not show relationships between external systems, so additional models are needed.
The document discusses use case modeling and diagrams. It defines a use case as a sequence of actions a system performs that yields an observable result for an actor. Use case diagrams depict the interactions between actors and the services (use cases) provided by the system. They help identify the classes needed for the system and provide a starting point for requirements, analysis, design, testing, and documentation. The example models the use cases for a bank that offers savings, checking, fixed deposit accounts and ATM services.
Unit 4- Software Engineering System Model Notes arvind pandey
This document discusses system modeling techniques used in software engineering. It covers context models, behavioral models, data models, object models, and CASE workbenches. Different types of models present the system from external, behavioral, and structural perspectives. Common model types include data processing, composition, architectural, and classification models. The document provides examples of context models, state machine models, data flow diagrams, and object models. It also discusses semantic data models, object behavior modeling with sequence diagrams, and components of analysis and design workbenches.
The document discusses different types of system models used in requirements engineering including context models, behavioral models, data models, and object models. It describes modeling the system's behavior using data flow diagrams and state machine diagrams. The document also introduces the Unified Modeling Language (UML) and how computer-aided software engineering (CASE) tools can support system modeling.
This document provides an overview of use case diagrams in object oriented design and analysis. It defines key components of a use case diagram including actors, use cases, the system boundary, and relationships between these elements. Actors represent people or systems that interact with the system, while use cases describe specific functions or services provided by the system. Relationships such as include, extend, and association are used to connect actors to use cases and illustrate how use cases relate to each other. The purpose of a use case diagram is to depict the functionality of a system from the user's perspective and illustrate the developer's understanding of user requirements.
SE18_Lec 10_ UML Behaviour and Interaction DiagramsAmr E. Mohamed
The document discusses various Unified Modeling Language (UML) diagrams used to model different aspects of a system. It describes structure diagrams like class diagrams and deployment diagrams. It also explains behavior diagrams like use case diagrams, interaction diagrams (sequence and communication diagrams), state-chart diagrams, and activity diagrams. Specific examples are provided to illustrate sequence diagrams, state machine diagrams, and activity diagrams. Key concepts like objects, messages, states, transitions, events, and swimlanes are defined in the context of these diagram types.
System modeling involves developing abstract models of a system from different perspectives using graphical notations like UML. Models are used during requirements, design, and documentation of a system. There are four main types of system modeling: context modeling defines system boundaries; interaction modeling captures user and component interactions through use cases and sequence diagrams; structural modeling shows system design and architecture using class and generalization diagrams; and behavioral modeling depicts system behavior over time.
SE_Lec 06_Object Oriented Analysis and DesignAmr E. Mohamed
This document discusses object-oriented (OO) system development. It describes how OO development builds self-contained modules that can be more easily replaced, modified, and reused. The key aspects of OO development covered include objects, classes, inheritance, encapsulation, polymorphism, and relationships between objects. The document also compares structured and OO approaches to programming.
The document discusses various techniques for modeling software requirements including:
1) Entity-relationship diagrams (ERDs) which model data objects and their relationships to understand the data domain.
2) Use case modeling which describes scenarios of how external actors will use the system through use cases and diagrams.
3) Flow-oriented modeling using data flow diagrams (DFDs) which represent how data objects are transformed as they move through the system.
Use case diagrams describe interactions between actors and a system to accomplish goals. A use case diagram typically includes:
1) Actors that interact with the system from outside, such as users or other systems. Common actor types are primary actors whose goals are fulfilled by the system and supporting actors that provide services.
2) Use cases that represent functions or tasks performed by the system. They are connected to relevant actors and may have relationships like include and extend.
3) Relationships between use cases like include, which shows a use case incorporating another, and extend, where a use case optionally extends another.
Use case diagrams provide an overview of a system's functions and how outside actors interact with them at a
SE18_Lec 07_System Modelling and Context ModelAmr E. Mohamed
System modeling is the process of developing abstract models of a system using graphical notation like UML. It helps analysts understand system functionality and communicate with customers. Models present different views like external context, structural organization, dynamic behavior, and interactions. Key UML diagrams include use case, class, sequence, state, and activity diagrams. System context diagrams specifically focus on external factors and the system boundaries.
The document discusses use case diagrams in object oriented design and analysis. It defines use cases as descriptions of system functionality from a user perspective. Use case diagrams depict system behavior, users, and relationships between actors, use cases, and other use cases. The key components of use case diagrams are described as actors, use cases, the system boundary, and relationships. Common relationships include association, extend, generalization, uses, and include. An example use case diagram for a cellular telephone is provided to illustrate these concepts.
The document discusses functional modeling using activity diagrams and use cases. It provides guidelines for creating activity diagrams and use cases, including identifying activities, control flows, decisions, and parallel processes for activity diagrams. It also discusses writing use case descriptions in SVDPI form from an observer perspective and creating use case diagrams by connecting actors to use cases. The overall purpose is to understand and create functional models to document requirements and describe business processes.
System modeling helps analysts understand a system's functionality and communicate with customers. Models abstractly describe systems and create visual representations of proposed databases to ensure all requirements are gathered accurately. Different diagrams like entity relationship diagrams and process flow diagrams illustrate identified business processes, rules, entities, and units. Logical modeling involves gathering information to produce diagrams and reports. Physical modeling designs an actual database according to logical model requirements. Data flow modeling is a mature technique used to provide detailed models of all system processes.
System modeling involves creating abstract models of a system from different perspectives, such as context, interactions, structure, and behavior. These models help analysts understand system functionality and communicate with customers. Context models show a system's external environment and relationships. Interaction models, such as use case and sequence diagrams, depict how users and systems interact. Structural models, like class diagrams, represent a system's internal organization. Behavioral models, including activity and state diagrams, illustrate a system's dynamic response to events or data. Model-driven engineering aims to generate implementation from system models.
The document describes the steps of use-case analysis, which includes supplementing the use-case description, finding classes from use-case behavior, distributing use-case behavior to classes, describing class responsibilities and attributes, and unifying the analysis classes. Key steps are identifying boundary, entity, control classes and allocating responsibilities to classes based on which class has needed data or is coordinating the use case behavior. Sequence and communication diagrams are used to model class interactions.
The document discusses use case analysis and diagramming. It defines a use case as a technique used in system analysis to identify, clarify, and organize system requirements. A use case diagram is a simple representation of users/actors interacting with a system. The key elements of a use case include actors, the system boundary, use cases, and associations. Use cases help gather system requirements by describing interactions from a user's perspective and identifying functional needs. They contribute to defining functional requirements for a system.
The document discusses system modeling as part of the requirements engineering process. It describes different types of models used to represent systems, including context models, behavioral models, data models, and object models. Specific modeling notations are introduced, such as data flow diagrams, state machines, and entity-relationship diagrams. Examples are provided to illustrate modeling concepts for systems like an ATM, order processing, and a microwave oven. The goal of system modeling is to help analysts understand system functionality from different perspectives to communicate requirements.
The document discusses use case modeling. It defines use cases as narrative descriptions of domain processes in a structured prose format. It describes key concepts like actors, scenarios, and the relationships between use cases such as include and extend. It provides guidelines for writing use cases, including identifying the system boundary, primary actors, and their goals to derive use cases. It also describes different styles and levels of detail for writing use cases.
This document provides an overview of use case diagrams and use cases. It defines what a use case is, including that it captures a user's interaction with a system to achieve a goal. It describes the key components of a use case diagram, including actors, use cases, and relationships between use cases like generalization, inclusion, and extension. An example use case diagram for a money withdrawal from an ATM is presented to illustrate these concepts. Guidelines for documenting use cases with descriptions of flows, exceptions, and other details are also provided.
The document discusses requirements analysis and analysis modeling principles for software engineering. It covers key topics such as:
1. Requirements analysis specifies a software's operational characteristics and interface with other systems to establish constraints. Analysis modeling focuses on what the software needs to do, not how it will be implemented.
2. Analysis modeling principles include representing the information domain, defining functions, modeling behavior, partitioning complex problems, and moving from essential information to implementation details.
3. Common analysis techniques involve use case diagrams, class diagrams, state diagrams, data flow diagrams, and data modeling to define attributes, relationships, cardinality and modality between data objects.
The document discusses various UML diagrams including use case diagrams, describing use cases as interactions between actors and systems to achieve goals, use case elements such as actors, scenarios, and relationships including generalization, extension, and inclusion. It provides examples of use case diagrams and templates for an ATM system and a school management system.
This document discusses system modeling and provides examples of different types of system models. It begins by defining system modeling as representing a system using graphical notation, often based on the Unified Modeling Language (UML). It then describes context models, interaction models like use case and sequence diagrams, and structural models including class and generalization diagrams. Behavioral models are also covered, including data-driven models using activity diagrams and event-driven models using state diagrams. The document concludes by discussing model-driven engineering and how models can be used to generate implementation code.
This document discusses various system modeling techniques, including context models, interaction models, structural models, and behavioral models. It provides examples of each type of model using the Unified Modeling Language (UML). Context models show the system and its relationships to other external systems. Interaction models include use case diagrams and sequence diagrams. Structural models include class diagrams, which depict classes and relationships. Behavioral models show how a system responds to events. The document also discusses object-oriented design, implementation issues, and open source development.
This document discusses basic concepts for modeling interactions and behaviors in systems using the Unified Modeling Language (UML). It covers use cases, which specify interactions between actors and a system to achieve goals. Key concepts discussed include: use cases involve actors interacting with a system; they are organized based on relationships; and they carry out tangible work. The document also defines basic terms like subject, names, actors, flows of events, scenarios, collaborations, and relationships for organizing use cases like generalization, inclusion, and extension.
The document discusses object-oriented system development and modeling. It covers topics like:
1. The main stages of traditional system development life cycles like requirements, analysis, design, implementation, and installation. As well as common life cycle models like waterfall, V-model, spiral, and prototyping.
2. Phases of object-oriented development focus on the state of the system rather than activities, including inception, elaboration, construction, and transition.
3. Modeling techniques for object-oriented systems including the Unified Modeling Language (UML), Rational Unified Process (RUP), abstraction, decomposition, and class-responsibility-collaboration (CRC) cards.
4
SE18_Lec 10_ UML Behaviour and Interaction DiagramsAmr E. Mohamed
The document discusses various Unified Modeling Language (UML) diagrams used to model different aspects of a system. It describes structure diagrams like class diagrams and deployment diagrams. It also explains behavior diagrams like use case diagrams, interaction diagrams (sequence and communication diagrams), state-chart diagrams, and activity diagrams. Specific examples are provided to illustrate sequence diagrams, state machine diagrams, and activity diagrams. Key concepts like objects, messages, states, transitions, events, and swimlanes are defined in the context of these diagram types.
System modeling involves developing abstract models of a system from different perspectives using graphical notations like UML. Models are used during requirements, design, and documentation of a system. There are four main types of system modeling: context modeling defines system boundaries; interaction modeling captures user and component interactions through use cases and sequence diagrams; structural modeling shows system design and architecture using class and generalization diagrams; and behavioral modeling depicts system behavior over time.
SE_Lec 06_Object Oriented Analysis and DesignAmr E. Mohamed
This document discusses object-oriented (OO) system development. It describes how OO development builds self-contained modules that can be more easily replaced, modified, and reused. The key aspects of OO development covered include objects, classes, inheritance, encapsulation, polymorphism, and relationships between objects. The document also compares structured and OO approaches to programming.
The document discusses various techniques for modeling software requirements including:
1) Entity-relationship diagrams (ERDs) which model data objects and their relationships to understand the data domain.
2) Use case modeling which describes scenarios of how external actors will use the system through use cases and diagrams.
3) Flow-oriented modeling using data flow diagrams (DFDs) which represent how data objects are transformed as they move through the system.
Use case diagrams describe interactions between actors and a system to accomplish goals. A use case diagram typically includes:
1) Actors that interact with the system from outside, such as users or other systems. Common actor types are primary actors whose goals are fulfilled by the system and supporting actors that provide services.
2) Use cases that represent functions or tasks performed by the system. They are connected to relevant actors and may have relationships like include and extend.
3) Relationships between use cases like include, which shows a use case incorporating another, and extend, where a use case optionally extends another.
Use case diagrams provide an overview of a system's functions and how outside actors interact with them at a
SE18_Lec 07_System Modelling and Context ModelAmr E. Mohamed
System modeling is the process of developing abstract models of a system using graphical notation like UML. It helps analysts understand system functionality and communicate with customers. Models present different views like external context, structural organization, dynamic behavior, and interactions. Key UML diagrams include use case, class, sequence, state, and activity diagrams. System context diagrams specifically focus on external factors and the system boundaries.
The document discusses use case diagrams in object oriented design and analysis. It defines use cases as descriptions of system functionality from a user perspective. Use case diagrams depict system behavior, users, and relationships between actors, use cases, and other use cases. The key components of use case diagrams are described as actors, use cases, the system boundary, and relationships. Common relationships include association, extend, generalization, uses, and include. An example use case diagram for a cellular telephone is provided to illustrate these concepts.
The document discusses functional modeling using activity diagrams and use cases. It provides guidelines for creating activity diagrams and use cases, including identifying activities, control flows, decisions, and parallel processes for activity diagrams. It also discusses writing use case descriptions in SVDPI form from an observer perspective and creating use case diagrams by connecting actors to use cases. The overall purpose is to understand and create functional models to document requirements and describe business processes.
System modeling helps analysts understand a system's functionality and communicate with customers. Models abstractly describe systems and create visual representations of proposed databases to ensure all requirements are gathered accurately. Different diagrams like entity relationship diagrams and process flow diagrams illustrate identified business processes, rules, entities, and units. Logical modeling involves gathering information to produce diagrams and reports. Physical modeling designs an actual database according to logical model requirements. Data flow modeling is a mature technique used to provide detailed models of all system processes.
System modeling involves creating abstract models of a system from different perspectives, such as context, interactions, structure, and behavior. These models help analysts understand system functionality and communicate with customers. Context models show a system's external environment and relationships. Interaction models, such as use case and sequence diagrams, depict how users and systems interact. Structural models, like class diagrams, represent a system's internal organization. Behavioral models, including activity and state diagrams, illustrate a system's dynamic response to events or data. Model-driven engineering aims to generate implementation from system models.
The document describes the steps of use-case analysis, which includes supplementing the use-case description, finding classes from use-case behavior, distributing use-case behavior to classes, describing class responsibilities and attributes, and unifying the analysis classes. Key steps are identifying boundary, entity, control classes and allocating responsibilities to classes based on which class has needed data or is coordinating the use case behavior. Sequence and communication diagrams are used to model class interactions.
The document discusses use case analysis and diagramming. It defines a use case as a technique used in system analysis to identify, clarify, and organize system requirements. A use case diagram is a simple representation of users/actors interacting with a system. The key elements of a use case include actors, the system boundary, use cases, and associations. Use cases help gather system requirements by describing interactions from a user's perspective and identifying functional needs. They contribute to defining functional requirements for a system.
The document discusses system modeling as part of the requirements engineering process. It describes different types of models used to represent systems, including context models, behavioral models, data models, and object models. Specific modeling notations are introduced, such as data flow diagrams, state machines, and entity-relationship diagrams. Examples are provided to illustrate modeling concepts for systems like an ATM, order processing, and a microwave oven. The goal of system modeling is to help analysts understand system functionality from different perspectives to communicate requirements.
The document discusses use case modeling. It defines use cases as narrative descriptions of domain processes in a structured prose format. It describes key concepts like actors, scenarios, and the relationships between use cases such as include and extend. It provides guidelines for writing use cases, including identifying the system boundary, primary actors, and their goals to derive use cases. It also describes different styles and levels of detail for writing use cases.
This document provides an overview of use case diagrams and use cases. It defines what a use case is, including that it captures a user's interaction with a system to achieve a goal. It describes the key components of a use case diagram, including actors, use cases, and relationships between use cases like generalization, inclusion, and extension. An example use case diagram for a money withdrawal from an ATM is presented to illustrate these concepts. Guidelines for documenting use cases with descriptions of flows, exceptions, and other details are also provided.
The document discusses requirements analysis and analysis modeling principles for software engineering. It covers key topics such as:
1. Requirements analysis specifies a software's operational characteristics and interface with other systems to establish constraints. Analysis modeling focuses on what the software needs to do, not how it will be implemented.
2. Analysis modeling principles include representing the information domain, defining functions, modeling behavior, partitioning complex problems, and moving from essential information to implementation details.
3. Common analysis techniques involve use case diagrams, class diagrams, state diagrams, data flow diagrams, and data modeling to define attributes, relationships, cardinality and modality between data objects.
The document discusses various UML diagrams including use case diagrams, describing use cases as interactions between actors and systems to achieve goals, use case elements such as actors, scenarios, and relationships including generalization, extension, and inclusion. It provides examples of use case diagrams and templates for an ATM system and a school management system.
This document discusses system modeling and provides examples of different types of system models. It begins by defining system modeling as representing a system using graphical notation, often based on the Unified Modeling Language (UML). It then describes context models, interaction models like use case and sequence diagrams, and structural models including class and generalization diagrams. Behavioral models are also covered, including data-driven models using activity diagrams and event-driven models using state diagrams. The document concludes by discussing model-driven engineering and how models can be used to generate implementation code.
This document discusses various system modeling techniques, including context models, interaction models, structural models, and behavioral models. It provides examples of each type of model using the Unified Modeling Language (UML). Context models show the system and its relationships to other external systems. Interaction models include use case diagrams and sequence diagrams. Structural models include class diagrams, which depict classes and relationships. Behavioral models show how a system responds to events. The document also discusses object-oriented design, implementation issues, and open source development.
This document discusses basic concepts for modeling interactions and behaviors in systems using the Unified Modeling Language (UML). It covers use cases, which specify interactions between actors and a system to achieve goals. Key concepts discussed include: use cases involve actors interacting with a system; they are organized based on relationships; and they carry out tangible work. The document also defines basic terms like subject, names, actors, flows of events, scenarios, collaborations, and relationships for organizing use cases like generalization, inclusion, and extension.
The document discusses object-oriented system development and modeling. It covers topics like:
1. The main stages of traditional system development life cycles like requirements, analysis, design, implementation, and installation. As well as common life cycle models like waterfall, V-model, spiral, and prototyping.
2. Phases of object-oriented development focus on the state of the system rather than activities, including inception, elaboration, construction, and transition.
3. Modeling techniques for object-oriented systems including the Unified Modeling Language (UML), Rational Unified Process (RUP), abstraction, decomposition, and class-responsibility-collaboration (CRC) cards.
4
Course Number
Course Section
Course Name
Project Name (Unit 1 IP)
Student Name
Table of Contents
Introduction 3
Use cases 4
Figure 1: Online order system use case diagram 4
Class Diagram 5
Figure 2: Class diagram 6
Activity diagram 7
Figure 3: Activity diagram 8
Sequence diagram 9
Figure 4: Sequence Diagram 9
References 10
UML Model for Project Introduction
System design is a process that helps to conceptualize the software system requirements into a software implementation. It involves taking the user requirements and using it to define system architecture, interfaces and modules for the system. The most widely used method for software system design today is Object-Oriented analysis and design methods for their reusability and easy way of expressing relationship between system components(Martin, 2011). To be able to efficiently utilize the power of object-oriented analysis and design methods you need to use its standard language, Unified Modeling language (UML). UML is a general purpose modeling language that is used to provide a standard way to visualize the design of a system. UML is rich of modeling notations and methods that are used to create different diagrams to represent structural and behavior information of the system (Wazlawick, 2014). Example of this diagrams include class diagram, use case diagram, deployment diagrams, activity diagram, state, object, and sequence among other.
The diagram in the following sections represents the structural and behavior of the Online ordering system. Use cases
Use case diagram are used to represent a user’s interaction with the system hence showing the relationship between the system and its users. Use cases identify the different actors (users) of the system and the different ways (use cases) they interact with the system. The use case diagram below shows the two main users of the online orders system and how the use the system.
Figure 1: Online order system use case diagramClass Diagram
UML Class diagram are static structure diagram used to describe the structure of software system by showing classes, operations, their attributes and the relationship among them. Classes form the main building block of Object Oriented modeling and hence class diagram help to conceptualize the general structure of the system that can later be translate into programming code. Classes in class diagram represent the main elements in the application to be programmed (Booch, 1994).
The diagram below show the class diagram for the recommend online ordering system. Boxes represent classes. Boxes are supposed to have three compartments to complete the represent class information in full, one for class name, second for class attributes and the third for class operations. The diagram below shows a simple representation of classes. The lines represent links between classes and show the kind of relationship between classes. For example user is generalization for customer and sales. Customer makes o.
Quality Assurance. Quality Assurance Approach. White BoxKimberly Jones
The document discusses using the Unified Modeling Language (UML) to model database systems and computer applications. It describes how UML diagrams like use case diagrams, class diagrams, sequence diagrams, and deployment diagrams can be used at different stages of the software development process. The paper examines how these UML diagrams integrate with various programming methodologies and how they provide a standardized way to visually define and model the design and structure of software systems, including defining objects in an object-oriented design approach.
Multiagent Based Methodologies have become an
important subject of research in advance Software Engineering.
Several methodologies have been proposed as, a theoretical
approach, to facilitate and support the development of complex
distributed systems. An important question when facing the
construction of Agent Applications is deciding which
methodology to follow. Trying to answer this question, a
framework with several criteria is applied in this paper for the
comparative analysis of existing multiagent system
methodologies. The results of the comparative over two of them,
conclude that those methodologies have not reached a sufficient
maturity level to be used by the software industry. The
framework has also proved its utility for the evaluation of any
kind of Multiagent Based Software Engineering Methodology
Person
+Specialization:String
Employee:Person
+Dept:String
+Salary:float
Manager:Employee
+NoOfReports:int
Generalization
Inheritance
Specialization
Con...
Inheritance:
Is a mechanism in which one class acquires the properties and
behaviors of another class.
The inheriting class is called a subclass or derived class and the
class whose properties and behaviors are inherited is called a
superclass or base class.
Specialization:
Is a generalization relationship between a generalized entity and a
more specific entity.
Generalization
Analysis of Agile and Multi-Agent Based Process Scheduling Modelirjes
As an answer of long growing frustration of waterfall Software development life cycle concepts,
agile software development concept was evolved in 90’s. The most popular agile methodologies is the Extreme
Programming (XP). Most software companies nowadays aim to produce efficient, flexible and valuable
Software in short time period with minimal costs, and within unstable, changing environments. This complex
problem can be modeled as a multi-agent based system, where agents negotiate resources. Agents can be used to
represent projects and resources. Crucial for the multi-agent based system in project scheduling model, is the
availability of an effective algorithm for prioritizing and scheduling of task. To evaluate the models, simulations
were carried out with real life and several generated data sets. The developed model (Multi-agent based System)
provides an optimized and flexible agile process scheduling and reduces overheads in the software process as it
responds quickly to changing requirements without excessive work in project scheduling.
This document discusses the role of use cases in requirements and analysis modeling. It distinguishes between black box and white box views of a system in the requirements and analysis phases. Black box views include the use case model, system interaction diagrams, system context class models, statecharts for state-dependent use cases, and test models. White box views address the internal workings of a system. The document describes how each black box view relates to use cases and requirements modeling.
This document provides an introduction to use case diagrams. It defines a use case as a typical interaction between a user and a system. Use cases capture the functional requirements and how the system benefits users. A use case diagram visually documents user goals and system functionality using actors, use cases, and relationships between use cases. Actors represent people or external systems that interact with the system. Relationships like includes, extends, and generalization define how use cases interact and specialize other use cases. The document provides examples and exercises for creating use case diagrams.
Three types of systems that are used as case studies are embedded systems to control medical devices, information systems like medical records systems, and sensor-based data collection systems like wilderness weather stations. Software engineering techniques include prototypes, reuse-oriented processes, and testing processes. Architectural design is a critical link between overall system design and requirements and involves determining how a system should be organized at a high level.
The document summarizes a master's thesis on supplementing and explicitly describing the architectural knowledge of the TRADR Robot Assisted Disaster Response system. The thesis analyzed the system context, TRADR research project, and proposed additions to the system architecture. It represented the system architecture using the A3 Architecting Overview method from functional, physical, and quantification views. The research scope within the system was illustrated, and test requirements and performance measures of technologies were described. The thesis aimed to provide a comprehensive representation and understanding of the TRADR system.
A Model of Local Area Network Based Application for Inter-office Communicationtheijes
This document presents a model for a local area network (LAN) based application for inter-office communication. The authors designed a messenger software to be installed on an organization's LAN to allow staff to communicate and share information efficiently. The software was developed using Java and analyzed using various UML diagrams. It uses a client-server model with the control part installed on the server and messenger part on clients. The software allows users to send short messages, memos, letters and access an electronic bulletin board. It was tested on a campus LAN network and achieved the objectives of enabling free communication between staff during office hours through a centralized and secure system.
In this lesson, you will develop a system using Use Cases.
You will:
Justify the need for a Use Case diagram
Identify and describe the essential elements in a UML Use Case diagram
Identifying the Actors in a System.
Identifying Use Cases in a System
Create a Use Case Diagram that shows the Use Cases in your system.
Recognize and document use case dependencies using UML notation for extends,includes, and generalization
The document discusses requirements definition and system modeling. It defines requirements as conditions or capabilities needed by stakeholders to solve problems or achieve objectives. Requirements should be defined at three levels - business, user, and product. Business requirements define problems to be solved or opportunities addressed. User requirements describe functionality from the user perspective. Product requirements specify functionality that must be built into the software. System modeling helps understand functionality and communicate with customers using models from different perspectives. Requirements definition and system modeling lay the foundation for software development.
Download Complete Material - https://www.instamojo.com/prashanth_ns/
This UML (Unified Markup Language) contains 6 Units and each Unit contains 35 slides in it.
Contents…
• Object-oriented modeling
• Origin and evolution of UML
• Architecture of UML
• User View
o Actor
o Use Cases
• Identify the behavior of a class
• Identify the attributes of a class
• Create a Class diagram
• Create an Object diagram
• Identify the dynamic and static aspects of a system
• Draw collaboration diagrams
• Draw sequence diagrams
• Draw statechart diagrams
• Understand activity diagrams
• Identify software components of a system
• Draw component diagrams
• Identify nodes in a system
• Draw deployment diagrams
Information systems analysis and requirements analysis produces a requirements specification. This specification states the project goal and the related data storage, data movement
This document discusses system modeling and provides examples from a patient management system (MHC-PMS). It describes using different types of models to represent a system from various perspectives, including context models to illustrate the system's operational environment, interaction models like use case and sequence diagrams to show user interactions, and structural and behavioral models. Specific MHC-PMS models are presented, such as a context diagram depicting related systems, use cases for medical receptionist roles, and sequence diagrams for user tasks like viewing patient information. The key points are that complementary system models abstractly represent a system from different viewpoints like context, interactions, structure, and behavior.
This document discusses system modeling and provides examples from a patient management system (MHC-PMS). It describes using different types of models to represent a system from various perspectives, including context models to illustrate the system's operational environment, interaction models like use case and sequence diagrams to show user interactions, and structural and behavioral models. Specific MHC-PMS models are presented, such as a context diagram depicting related systems, use cases for medical receptionist roles, and sequence diagrams for user flows like viewing patient information. The key points are that complementary system models abstractly represent a system from different viewpoints like context, interactions, structure, and behavior.
The document discusses different types of system models, including context models, interaction models, structural models, and behavioral models. It provides examples of each type of model using a case study of a mental health care patient management system (MHC-PMS). Context models show the environment and other related systems. Interaction models include use case diagrams and sequence diagrams to illustrate interactions between users and the system. Structural models, like class diagrams, depict the organization and architecture of a system through classes and their relationships.
Similar to Use Case Modeling in Software Development: A Survey and Taxonomy (20)
Content-Based Image Retrieval (CBIR) systems have been used for the searching of relevant images in various research areas. In CBIR systems features such as shape, texture and color are used. The extraction of features is the main step on which the retrieval results depend. Color features in CBIR are used as in the color histogram, color moments, conventional color correlogram and color histogram. Color space selection is used to represent the information of color of the pixels of the query image. The shape is the basic characteristic of segmented regions of an image. Different methods are introduced for better retrieval using different shape representation techniques; earlier the global shape representations were used but with time moved towards local shape representations. The local shape is more related to the expressing of result instead of the method. Local shape features may be derived from the texture properties and the color derivatives. Texture features have been used for images of documents, segmentation-based recognition,and satellite images. Texture features are used in different CBIR systems along with color, shape, geometrical structure and sift features.
This document discusses clickjacking attacks, which hijack users' clicks to perform unintended actions. It provides an overview of clickjacking, describes different types of attacks, and analyzes vulnerabilities that make websites susceptible. Experiments are conducted on a sample social networking site, applying various clickjacking techniques. Potential defenses are tested, including X-Frame-Options headers and frame busting code. A proposed solution detects transparent iframes to warn users and check for hidden mouse pointers to mitigate cursorjacking. Analysis of top Jammu and Kashmir websites found most were vulnerable, while browser behavior studies showed varying support for defenses.
Performance Analysis of Audio and Video Synchronization using Spreaded Code D...Eswar Publications
The audio and video synchronization plays an important role in speech recognition and multimedia communication. The audio-video sync is a quite significant problem in live video conferencing. It is due to use of various hardware components which introduces variable delay and software environments. The objective of the synchronization is used to preserve the temporal alignment between the audio and video signals. This paper proposes the audio-video synchronization using spreading codes delay measurement technique. The performance of the proposed method made on home database and achieves 99% synchronization efficiency. The audio-visual
signature technique provides a significant reduction in audio-video sync problems and the performance analysis of audio and video synchronization in an effective way. This paper also implements an audio- video synchronizer and analyses its performance in an efficient manner by synchronization efficiency, audio-video time drift and audio-video delay parameters. The simulation result is carried out using mat lab simulation tools and simulink. It is automatically estimating and correcting the timing relationship between the audio and video signals and maintaining the Quality of Service.
Due to the availability of complicated devices in industry, models for consumers at lower cost of resources are developed. Home Automation systems have been developed by several researchers. The limitations of home automation includes complexity in architecture, higher costs of the equipment, interface inflexibility. In this paper as we have proposed, the working protocol of PIC 16F72 technology is which is secure, cost efficient, flexible that leads to the development of efficient home automation systems. The system is operational to control various home appliances like fans, Bulbs, Tube light. The following paper describes about components used and working of all components connected. The home automation system makes use of Android app entitled “Home App” which gives
flexibility and easy to use GUI.
Semantically Enchanced Personalised Adaptive E-Learning for General and Dysle...Eswar Publications
E-learning plays an important role in providing required and well formed knowledge to a learner. The medium of e- learning has achieved advancement in various fields such as adaptive e-learning systems. The need for enhancing e-learning semantically can enhance the retrieval and adaptability of the learning curriculum. This paper provides a semantically enhanced module based e-learning for computer science programme on a learnercentric perspective. The learners are categorized based on their proficiency for providing personalized learning environment for users. Learning disorders on the platform of e-learning still require lots of research. Therefore, this paper also provides a personalized assessment theoretical model for alphabet learning with learning objects for
children’s who face dyslexia.
Agriculture plays an important role in the economy of our country. Over 58 percent of the rural households depend on the agriculture sector as their means of livelihood. Agriculture is one of the major contributors to Gross Domestic Product(GDP). Seeds are the soul of agriculture. This application helps in reducing the time for the researchers as well as farmers to know the seedling parameters. The application helps the farmers to know about the percentage of seedlings that will grow and it is very essential in estimating the yield of that particular crop. Manual calculation may lead to some error, to minimize that error, the developed app is used. The scientist and farmers require the app to know about the physiological seed quality parameters and to take decisions regarding their farming activities. In this article a desktop app for seed germination percentage and vigour index calculation are developed in PHP scripting language.
What happens when adaptive video streaming players compete in time-varying ba...Eswar Publications
Competition among adaptive video streaming players severely diminishes user-QoE. When players compete at a bottleneck link many do not obtain adequate resources. This imbalance eventually causes ill effects such as screen flickering and video stalling. There have been many attempts in recent years to overcome some of these problems. However, added to the competition at the bottleneck link there is also the possibility of varying network bandwidth which can make the situation even worse. This work focuses on such a situation. It evaluates current heuristic adaptive video players at a bottleneck link with time-varying bandwidth conditions. Experimental setup includes the TAPAS player and emulated network conditions. The results show PANDA outperforms FESTIVE, ELASTIC and the Conventional players.
WLI-FCM and Artificial Neural Network Based Cloud Intrusion Detection SystemEswar Publications
Security and Performance aspects of cloud computing are the major issues which have to be tended to in Cloud Computing. Intrusion is one such basic and imperative security problem for Cloud Computing. Consequently, it is essential to create an Intrusion Detection System (IDS) to detect both inside and outside assaults with high detection precision in cloud environment. In this paper, cloud intrusion detection system at hypervisor layer is developed and assesses to detect the depraved activities in cloud computing environment. The cloud intrusion detection system uses a hybrid algorithm which is a fusion of WLI- FCM clustering algorithm and Back propagation artificial Neural Network to improve the detection accuracy of the cloud intrusion detection system. The proposed system is implemented and compared with K-means and classic FCM. The DARPA’s KDD cup dataset 1999 is used for simulation. From the detailed performance analysis, it is clear that the proposed system is able to detect the anomalies with high detection accuracy and low false alarm rate.
Spreading Trade Union Activities through Cyberspace: A Case StudyEswar Publications
This report present the outcome of an investigative research conducted to examine the modu-operandi of academic staff union of polytechnics (ASUP) YabaTech. The investigation covered the logistics and cost implication for spreading union activities among members. It was discovered that cost of management and dissemination of information to members was at high side, also logistics problem constitutes to loss of information in transit hence cut away some members from union activities. To curtail the problem identified, we proposed the
design of secure and dynamic website for spreading union activities among members and public. The proposed system was implemented using HTML5 technology, interface frameworks like Bootstrap and j query which enables the responsive feature of the application interface. The backend was designed using PHPMYSQL. It was discovered from the evaluation of the new system that cost of managing information has reduced considerably, and logistic problems identified in the old system has become a forgotten issue.
Identifying an Appropriate Model for Information Systems Integration in the O...Eswar Publications
Nowadays organizations are using information systems for optimizing processes in order to increase coordination and interoperability across the organizations. Since Oil and Gas Industry is one of the large industries in whole of the world, there is a need to compatibility of its Information Systems (IS) which consists three categories of systems: Field IS, Plant IS and Enterprise IS to create interoperability and approach the
optimizing processes as its result. In this paper we introduce the different models of information systems integration, identify the types of information systems that are using in the upstream and downstream sectors of petroleum industry, and finally based on expert’s opinions will identify a suitable model for information systems integration in this industry.
Link-and Node-Disjoint Evaluation of the Ad Hoc on Demand Multi-path Distance...Eswar Publications
This work illustrates the AOMDV routing protocol. Its ancestor, the AODV routing protocol is also described. This tutorial demonstrates how forward and reverse paths are created by the AOMDV routing protocol. Loop free paths formulation is described, together with node and link disjoint paths. Finally, the performance of the AOMDV routing protocol is investigated along link and node disjoint paths. The WSN with the AOMDV routing protocol using link disjoint paths is better than the WSN with the AOMDV routing protocol using node disjoint paths for energy consumption.
Bridging Centrality: Identifying Bridging Nodes in Transportation NetworkEswar Publications
To identify the importance of node of a network, several centralities are used. Majority of these centrality measures are dominated by components' degree due to their nature of looking at networks’ topology. We propose a centrality to identification model, bridging centrality, based on information flow and topological aspects. We apply bridging centrality on real world networks including the transportation network and show that the nodes distinguished by bridging centrality are well located on the connecting positions between highly connected regions. Bridging centrality can discriminate bridging nodes, the nodes with more information flowed through them and locations between highly connected regions, while other centrality measures cannot.
Now a days we are living in an era of Information Technology where each and every person has to become IT incumbent either intentionally or unintentionally. Technology plays a vital role in our day to day life since last few decades and somehow we all are depending on it in order to obtain maximum benefit and comfort. This new era equipped with latest advents of technology, enlightening world in the form of Internet of Things (IoT). Internet of things is such a specified and dignified domain which leads us to the real world scenarios where each object can perform some task while communicating with some other objects. The world with full of devices, sensors and other objects which will communicate and make human life far better and easier than ever. This paper provides an overview of current research work on IoT in terms of architecture, a technology used and applications. It also highlights all the issues related to technologies used for IoT, after the literature review of research work. The main purpose of this survey is to provide all the latest technologies, their corresponding
trends and details in the field of IoT in systematic manner. It will be helpful for further research.
Automatic Monitoring of Soil Moisture and Controlling of Irrigation SystemEswar Publications
In past couple of decades, there is immediate growth in field of agricultural technology. Utilization of proper method of irrigation by drip is very reasonable and proficient. A various drip irrigation methods have been proposed, but they have been found to be very luxurious and dense to use. The farmer has to maintain watch on irrigation schedule in the conventional drip irrigation system, which is different for different types of crops. In remotely monitored embedded system for irrigation purposes have become a new essential for farmer to accumulate his energy, time and money and will take place only when there will be requirement of water. In this approach, the soil test for chemical constituents, water content, and salinity and fertilizer requirement data collected by wireless and processed for better drip irrigation plan. This paper reviews different monitoring systems and proposes an automatic monitoring system model using Wireless Sensor Network (WSN) which helps the farmer to improve the yield.
Multi- Level Data Security Model for Big Data on Public Cloud: A New ModelEswar Publications
With the advent of cloud computing the big data has emerged as a very crucial technology. The certain type of cloud provides the consumers with the free services like storage, computational power etc. This paper is intended to make use of infrastructure as a service where the storage service from the public cloud providers is going to leveraged by an individual or organization. The paper will emphasize the model which can be used by anyone without any cost. They can store the confidential data without any type of security issue, as the data will be altered
in such a way that it cannot be understood by the intruder if any. Not only that but the user can retrieve back the original data within no time. The proposed security model is going to effectively and efficiently provide a robust security while data is on cloud infrastructure as well as when data is getting migrated towards cloud infrastructure or vice versa.
Impact of Technology on E-Banking; Cameroon PerspectivesEswar Publications
The financial services industry is experiencing rapid changes in services delivery and channels usage, and financial companies and users of financial services are looking at new technologies as they emerge and deciding whether or not to embrace them and the new opportunities to save and manage enormous time, cost and stress.
There is no doubt about the favourable and manifold impact of technology on e-banking as pictured in this review paper, almost all banks are with the least and most access e-banking Technological equipments like ATMs and Cards. On the other Hand cheap and readily available technology has opened a favourable competition in ebanking services business with a lot of wide range competitors competing with Commercial Banks in Cameroon in providing digital financial services.
Classification Algorithms with Attribute Selection: an evaluation study using...Eswar Publications
Attribute or feature selection plays an important role in the process of data mining. In general the data set contains more number of attributes. But in the process of effective classification not all attributes are relevant.
Attribute selection is a technique used to extract the ranking of attributes. Therefore, this paper presents a comparative evaluation study of classification algorithms before and after attribute selection using Waikato Environment for Knowledge Analysis (WEKA). The evaluation study concludes that the performance metrics of the classification algorithm, improves after performing attribute selection. This will reduce the work of processing irrelevant attributes.
Mining Frequent Patterns and Associations from the Smart meters using Bayesia...Eswar Publications
In today’s world migration of people from rural areas to urban areas is quite common. Health care services are one of the most challenging aspect that is must require to the people with abnormal health. Advancements in the technologies lead to build the smart homes, which contains various sensor or smart meter devices to automate the process of other electronic device. Additionally these smart meters can be able to capture the daily activities of the patients and also monitor the health conditions of the patients by mining the frequent patterns and
association rules generated from the smart meters. In this work we proposed a model that is able to monitor the activities of the patients in home and can send the daily activities to the corresponding doctor. We can extract the frequent patterns and association rules from the log data and can predict the health conditions of the patients and can give the suggestions according to the prediction. Our work is divided in to three stages. Firstly, we used to record the daily activities of the patient using a specific time period at three regular intervals. Secondly we applied the frequent pattern growth for extracting the association rules from the log file. Finally, we applied k means clustering for the input and applied Bayesian network model to predict the health behavior of the patient and precautions will be given accordingly.
Network as a Service Model in Cloud Authentication by HMAC AlgorithmEswar Publications
Resource pooling on internet-based accessing on use as pay environmental technology and ruled in IT field is the
cloud. Present, in every organization has trusted the web, however, the information must flow but not hold the
data. Therefore, all customers have to use the cloud. While the cloud progressing info by securing-protocols. Third
party observing and certain circumstances directly stale in flow and kept of packets in the virtual private cloud.
Global security statistics in the year 2017, hacking sensitive information in cloud approximately maybe 75.35%,
and the world security analyzer said this calculation maybe reached to 100%. For this cause, this proposed
research work concentrates on Authentication-Message-Digest-Key with authentication in routing the Network as
a Service of packets in OSPF (Open Shortest Path First) implementing Cloud with GNS3 has tested them to
securing from attackers.
Microstrip patch antennas are recently used in wireless detection applications due to their low power consumption, low cost, versatility, field excitation, ease of fabrication etc. The microstrip patch antennas are also called as printed antennas which is suffer with an array elements of antenna and narrow bandwidth. To overcome the above drawbacks, Flame Retardant Material is used as the substrate. Rectangular shape of microstrip patch antenna with FR4 material as the substrate which is more suitable for the explosive detection applications. The proposed printed antenna was designed with the dimension of 60 x 60 mm2. FR-4 material has a dielectric constant value of 4.3 with thickness 1.56 mm, length and width 60 mm and 60 mm respectively. One side of the substrate contains the ground plane of dimensions 60 x60 mm2 made of copper and the other side of the substrate contains the patch which have dimensions 34 x 29 mm2 and thickness 0.03mm which is also made of copper. RMPA without slot, Vertical slot RMPA, Double horizontal slot RMPA and Centre slot RMPA structures were
designed and the performance of the antennas were analysed with various parameters such as gain, directivity, Efield, VSWR and return loss. From the performance analysis, double horizontal slot RMPA antenna provides a better result and it provides maximum gain (8.61dB) and minimum return loss (-33.918dB). Based on the E-field excitation value the SEMTEX explosive material is detected and it was simulated using CST software.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
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Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
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Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
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Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
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We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
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- Practical examples and best practices to implement right away
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
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- Types of dimensions;
- Snowflakes and how to avoid them;
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Use Case Modeling in Software Development: A Survey and Taxonomy
1. Int. J. Advanced Networking and Applications
Volume: 08 Issue: 05 Pages: 3188-3200 (2017) ISSN: 0975-0290
3188
Use Case Modeling in Software Development: A
Survey and Taxonomy
Zahra Rashidi
Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
zrashi@ce.sharif.edu
Zeynab Rashidi
Department of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran
zeynabrashidi@aut.ac.ir
Hassan Rashidi
Department of Mathematics and Computer Science, Allameh Tabataba'i University, Tehran, Iran
hrashi@atu.ac.ir
-------------------------------------------------------------------ABSTRACT---------------------------------------------------------------
Identifying use cases is one of the most important steps in the software requirement analysis. This paper makes a
literature review over use cases and then presents six taxonomies for them. The first taxonomy is based on the
level of functionality of a system in a domain. The second taxonomy is based on primacy of functionality and the
third one relies on essentialness of functionality of the system. The fourth taxonomy is concerned with supporting
of functionality. The fifth taxonomy is based on the boundary of functionality and the sixth one is related to
generalization/specialization relation. Then the use cases are evaluated in a case study in a control command
police system. Several guidelines are recommended for developing use cases and their refinement, based on some
practical experience obtained from the evaluation.
Keywords -Use cases, Taxonomy, Software Engineering.
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Date of Submission: April 10, 2017 Date of Acceptance: April 18, 2017
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I. INTRODUCTION
Domain analysis paves the way from gathering
requirements to an object-oriented analysis and modeling.
In turn, system analysis feeds back into domain analysis
by demanding richer and more refined definitions for
concepts and scopes. Fig. 1 shows that domain analysis
feeds conceptual modeling, but is also updated and refined
through that modeling[1].
Figure 1- Steps in domain analysis
Domain analysis discovers and defines business concepts
within the context of the problem space. Use case
modeling channels, transforms and expands these concepts
into a model of system behavior (see [2], [3], [4], [5], [6]).
Use cases are the first step towards conceptual modeling in
which a set of related use cases provide the behavioral
model of a system (see Fig. 1). The boundaries of the
system or the subsystem depicted by use cases are defined
by domain definition. The starting point of use cases are
the concepts discovered through domain analysis—
primarily, but not limited to, those categorized as
processes. Use case modeling is a set of use cases that,
together, describe the behavior of a system. A use case is a
unit of this model in which is a description of an
interaction that achieves a useful goal for an actor.
A use case can be a textual narrative, but it must have four
well-defined components to qualify as a use case. The first
component is a goal as the successful outcome of the use
case and second one are stakeholders whose interests are
affected by the outcome (including actor(s) who interact
with the system to achieve the goal. The third component
is a system that provides the required services for the
actors, and forth one is a step-by-step scenario that guides
both the actor(s) and the system towards the finish line.
The narrative of a use case is made up of one or more
flows. The normal flow is the best-case scenario that
results in the successful completion of the use case. An
alternate flow exists only if conditional steps are needed. It
may have sub-flows if steps in the normal flow contain
sub-steps and have exceptions that describe what may
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prevent the completion of one-step or the entire use case.
Table 1 summarizes information associated with a use
case and shows a template for developing use cases.
Table 1: A Template for developing a use case and
information associated with it
Use Case Name
Description
This part describes one or two
sentence of the use case
Stakeholders/
Actors
This part identifies the actors
participating in the use case
Includes
This part identifies the use cases
included in it
Extends
This part identifies the use case
that it may extend
Pre-Conditions
This part identifies the
conditions which must be met to
invoke this use case
Details/Flow
This part identifies the details of
the use case.
Goal/Post-
Conditions
This part identifies the
conditions hold at the conclusion
of the use case
Exceptions
This part identifies any
exceptions that might arise in
execution of the use case
Constraints
This part identifies any
constraints that might apply
Variants/Alternate
Flow
This part identifies any
variations that might hold for the
use case
Comments
This part provides any additional
information, which might be
important in the use case
The main motivation of this paper is to survey over the use
case modeling and makes six taxonomies for use cases.
The structure of remaining sections is as follows. In
Section 2, the literature review and taxonomies of use case
are presented. In Section 3, a case study for the control
command police system is presented. In Section 4, the
most important guidelines to develop use cases are
recommended. Finally, Section 5 is considered to
summary and conclusion.
2. LITERATURE REVIEW AND TAXONOMIES
Use case modeling represents the behavior of a system. A
use case details the interaction of entities outside a system,
called actors, with the system to achieve a specific goal by
following a set of steps called a scenario. Use case
modeling is the first step for transforming domain
concepts into models for building a solution. A use case is
a textual narrative that details how one or more entities
called actors interact with a system to achieve a result that
is primarily of value to one of them, the primary actor.
Various authors define use cases differently:
Rumbaugh (1994) states that a use case is a
description of all of the possible sequences of
interactions among the system and one or more
actors in response to some initial stimulus by one
of the actors [7].
Iacobson el al (1999) states that a use case
specifies a sequence of actions, including a
variant that a system performs and that yields an
observable result of value to a particular actor [8].
Cockburn (2000) states that a use case is a
collection of possible sequences of interactions
between the system under discussion and its
external actors, related to a particular goal [9].
Bruegee and dudoit (2010) state that a use case is
initiated by an actor. After its initiation, a use
case may interact with other actors, as well. A use
case represents a complete flow of events through
the system in the sense that it describes a series of
related interactions that result from its initiation
[10].
The common threads in all of above definitions are actors
and sequences of interactions. In this approach, several
concepts are important: the goal, the system, and the actor
and use case bundle. The goal is the business value to the
‘user(s)’ of the system who usually initiate the interaction
with the system. The system is the application with all of
its associated hardware that will be used by the ‘users’. An
actor is external entity that interacts with a system. A use
case bundle is a collection of use cases that are highly
correlated with some activity or organizing business
element. A use case bundle gives us away to organize our
use cases into collections that will help us better
understand the functionality of the system that we are
developing any large systems.
In the literature, we found several kinds of use cases,
including ‘High-Level’, ‘Low-Level’, ‘Primary’ ,
‘Secondary’, ‘Essential’, ‘Concrete’, ‘Including’,
‘Extending’, ‘Starting, ‘Stopping’ use cases ([11], [12],
[13], [14],[15]). We added four other use cases:
‘Generalizing’, ‘Children’, ‘Frond End’ and ‘Back End’
use cases.
In capturing the functional aspects of the system, one of
the difficulties in generating a useful discussion of a
system is keeping the description at a consistent level of
abstraction. For use cases to be successfully developed, it
is necessary to know the dimension of the functional
description that one is attempting to capture. Then the
analyst can determine the level of detail, primacy of
functionality, designing and implementation issues in the
information that should be captured. Regarding these
issues, we have six taxonomies for the use cases.
2.1 First View: Level Of Functionality
In one dimension, we can distinguish between high-level
and low-level functional descriptions of a system:
High-LevelUse Case (HLUC): It is a black box
view of the system by which we deal entirely with
the dialog between the actor and the system. High-
level use case provides general and brief
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descriptions of the essence of the business values
provided. It is not concerned with how the business
values are achieved. For example, managing
accounts is a high-level use case in each accounting
system of banks.
Low-Level Use Case (LLUC): It is a white box (or
transparent box) view of the system by which we
deal with the dialog between the actor and the
system and what the system does to provide the
functionality. For example, adding an account,
updating an account, and deleting an account are
low-level use cases that establish detailed activities
for managing an account in the account system of
banks.
2.2 Second View: Primacy Of Functionality
In a second dimension, we can distinguish between
primary and secondary functions of the system.
PrimaryUse Case (PRUC): These use case provide
functions to users that constitute the reason for
which the system exists. For example, generating a
report is a primary use case in the account system of
banks.
Secondary Use Case (SEUC): These use case are
functionality that deals with exceptional and rare
cases that may occur in the environment. They
allow analysts to capture system behavior under
error conditions. These functions are necessary to
deliver a robust system. For example, the
consistency of database must be controlled in the
account system and the crashed data must be
recovered.
2.3 Third View: Essentialness Of Functionality
In the third dimension, we can distinguish between the
essential and the concrete functions of the system:
Essential Use Case (ESUC): It captures business
solutions that are independent of implementation. It
is usually depicted as black box models and is
independent of hardware and software.
Concrete Use Case (COUC): It captures business
solutions in terms that are design-dependent, like
transparent box models. A concrete use case can
“extend” an abstract essential use case.
2.4 Forth View: Supporting of Functionality
Some use cases support other use cases. They are called
supporting use cases, which are categorized to the
following use cases:
Including Use Case (INUC): we must view
including use case as a relation that identifies a use
case that acts like a subroutine to other use cases.
Typically, including use cases will not have actors
that initiate them. We can consider these use cases
as inheriting actors.
Extending Use Case (EXUC): We can have some
situation in which several use cases are identical
with the exception of one or two specific
subsequences of interactions. In this case, we can
extract the common core (base use case) and treat
the use cases that differ as extensions of this base
use case. Thus, an extend relationship exists
between an extension and the core. This allows us
to capture in an easy form those situations where
the sequences captured in several use cases may
differ as the result of a simple conditional at the end
of the sequence.
2.5 Fifth View: Boundary of Functionality
In the fifth dimension, we must think about running the
system, which concern with start-up and shut down the
system.
Starting Use Case (SRUC): These use cases
captures the behavior of the system when it is
being starting up. They are usually design-
dependent, like Transparent Box Models.
Stopping Use Case (SPUC): These use cases
capture the behavior of the system when it is being
shutting down. They are usually design-dependent,
like Transparent Box Models.
Frond End Use Case (FEUC): These use cases
capture the behavior of the system when it
interacts with users.
Back End Use Case (BEUC): These use cases
capture the behavior of the system when it
interacts with servers such as Database server and
Web server.
These use cases will be the last use cases to be developed
because we must wait until sufficient details are known to
identify what information must be initialized during
startup and preserved during shutdown.
2.6 Six View: Supporting of Inheritance
In the sixth dimension, we consider inheritance between
use cases. In this view, there are two kinds of use cases:
Generalizing Use Case (GEUC):If two or more
use cases achieve the same goal through different
means but share most activities, theGeneralizing
Use Case abstracts their common feature into a
generalized super-use case (also called the parent).
Children Use Case (CHUC): The children use
cases inherit features from the parent, where they
override (or specialize) them, or when they add new
features.The relationship that exists between the
Generalizing use case and the Children is a
generalization/specialization relation.
The differences between extending and generalizing use
case are subtle, but they are important. The extending use
case defines a set of extension points in the basic use case,
but the generalization use case does not. With extending
use case, the basic core must know that it is going to be
extended in order to define the extension points. This is
not so with generalizing use case. The extending use case
adds to the basic core’s functionality, but generalizing use
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case overridesit so that it totally replaces it, albeit with
something similar.
3. PRACTICAL EXPERIMENTS
In order to make specific guidelines for developing use
case model, we used a Control Command Police System
(CCPS) for which a mini-requirement is briefly described
in [16]. This system is extended in [17] and then it is used
in our study due to its fertility for reusability in both
application and system software. This police service
system must respond as quickly as possible to report
incidents and its objectives are to ensure that incidents are
logged and routed to the most appropriate police vehicle.
The most important factors that must be considered which
vehicle to choose to an incident include:
Type of incident: some important and worsening
events need immediate response. It is recommended
that specified categories of response actions are
assigned to a definite type of incident.
Location of available vehicles: Generally, the best
strategy is to send the closest vehicle to address the
incident. Keep in mind that it is not possible to
know the exact position of the vehicles and may
need to send a message to the car to determine its
current location.
Type of available vehicles: some incident need
vehicles need and some special incident such as
traffic accidents may need ambulance and vehicles
with specific equipment.
Location of incident: In some areas, sending only
one vehicle for response is enough. In other areas,
may be a police vehicle to respond to the same type
of accident is enough.
Other emergency services such as fireman and
ambulance: the system must automatically alert the
needs to these services.
Reporting details: The system should record
details of each incident and make them available for
any information required.
To identifying major use cases, we must arrive to
analyzing domain concepts marked as ‘process’ or
‘function’, but the conversion ratio is not one-to-one.
Sometimes we have to break up a process into more than
one use case; at other times we might have to combine
pieces of multiple processes or functions to arrive at one
use case. Other domain concepts, such as objects or
business rules might find their way into use cases if the
context requires it. Each process that will achieve a useful
business goal is definitely one use case. The other
fundamentally different processes in which they
participate usually result in other use cases. Although the
standard practice of documenting use cases is to start from
the external event to the system, in certain circumstances,
we want to document the use case from the external event
to the actor.
At first, we wrote two or three of the most common and
simple process. When identifying the use cases, we gave a
descriptive name and a one or two sentence description of
each. The names of use cases based upon the goal the
actor is attempting to achieve and, if necessary, to
distinguish variations in the circumstance in which it is
invoked. We used a verb to start the name of the use case.
Then, we make one or two sentences for description to
identify the approximate interaction that is to be captured
in the use case. We performed the analysis in an
incremental fashion and develop the use case model
iteratively. In each iteration, we provided very brief
descriptions initially and then refined them so that the goal
is to provide more details about the use case.
A couple of experts in IT field helped us to develop the
conceptual model of the CCPS. After a long discussion,
we prepared Table 2, in which shows the information
concerned with specific parts of the template (see Table 1)
in different kinds of use cases. It is used to guide the
development of use case. The development of high-level,
primary, essential use cases requires that analyst identifies
the essential business information to establish the business
value proposition, the preconditions that must apply for
the use case to complete, and the post-conditions that are
promised, and any constraints or variations that might
exist.
We immediately documented actors identified as the result
of describing a use case. These actors needed to be
documented in terms of what actions they are required to
provide. If multiple actors can initiate the same set of
actions, we introduced an abstract actor of which all the
others are specializations. A summary of the results in
identifying the main ‘high level’ use cases are put into
Table 3.
To document use case, we can use ‘use case diagram’ in
which there are several basic elements. Use case diagram
is a ‘meta-model’-an abstraction of use cases[1]. In its
basic form, it displays the boundaries of the system, the
name of the use cases, and the actors who interact with
each use case. The main use case diagram and activity
diagram of this system are depicted in Fig. 2 and Fig. 3,
respectively.
Use cases apply to many different paradigms to develop a
systems(see[18], [19], [20],[21]). In this study, we apply it
to object oriented software development. In this paradigm,
after developing use case model we must identify the
objects in system and their relationships (See Fig.1 for
Structural Modeling). There are many approaches to
identify objects ([22], [23], [24], [25], [26], [27],
[28],[29]). The Class Diagram of this system is depicted in
Fig. 4. In this class diagram, the main classes, are
‘Incident’, ‘Police Staff’, ‘Police Vehicle’, ‘Police
Officer’, ‘Director’, ‘Route Manager’, ‘Incident Waiting
List’, ‘Response’ and ‘GPS Receiver’. In the figure, the
attributes and methods of each class are shown.
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Table 2: Information concerned with specific parts of the template in different kinds of use cases
Kind of Information
High-Level
Primary
Essential
Low-Level
Primary
Secondary
Essential
Low-Level
Primary
Concrete
Low-Level
Primary
Secondary
Concrete
Business Information Actors Actors Actors Actors
Technological Information Relations Relations
Relationships among primary and
secondary, extending, and including use
cases
Preconditions Preconditions Preconditions Preconditions
Essential information
Post-
conditions
Post-
conditions
Post-
conditions
Post-
conditions
High-level information about the interaction
between system and actors
Details Details
Detailed concrete information that applies
to use cases that are not generalizations
Exceptions Details Details
Added information included as appropriate
for the specific use case
Constraints
Variants
Constraints
Variants
Constraints
Variants
Constraints
Variants
Table 3: The main high level uses case identified in the Control Command Police system
Name of the use
case
Actors involved Description
Call Taking
Reporter Of Incident, Police
Station Operator, Police
Officer, Alarm
An operator in Police Station receives a phone call about
an accident at a given location
Incident
Registration
Police Station Operator,
Police Officer
Police Officer received the call center operator and
details of the incident. The system automatically
classifies the incident and determines its priorities.
Close Incident
Dispatcher, Record
Management System
Dispatcher collects information associated with the
accident and the record is saved into the system
Send Report
Primary Police Unit,
Dispatcher
A report associated with the incident is collected and
send to Dispatcher
Request More
Units
Primary unit, Dispatcher
Police Unit requests the new forces, Dispatcher comply
with this request or rejects it
Create Response Dispatcher Dispatcher makes the response and makes coordination
Unit
Management
Police Unit, Dispatcher
Dispatcher handles the incident and monitors the
resources/forces allocated to the incident
Send Data Police Unit, Dispatcher
Incident details (address, number of victims, ...) and call
details (field of call, number of units, ...) are sent police
unit
Request To
incident
Police unit
Police Officers at police cars received information about
the accident, then goes to the scene and handles the
mission. He/she will be available again for the next
mission.
Dispatch Units Police Unit, Dispatcher
Data, information and how to respond to accident are sent
to the selected units
Find Closest
Unit
Police Station Operator Finding the nearest unit to the location of the incident
Get Position of
Units
Positioning system The positioning system finds the closest unit to the scene
Alert
Emergency
service
Emergency Service
Emergency services such as fire or ambulance system are
alerted and called
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Fig. 2: The main Use Case Diagram of the Control Command Police System
Fig. 3: The Activity Diagram of the Control Command Police System
Use cases and scenarios are not sufficient documentation
for conceptual modeling. So we went to Dynamic
Modeling step (See Fig.1). In this step, we had to look at
ways of documenting the events and documenting the
dynamic behavior in a form more suited for programming.
In particular, an event list is created and each event in the
list must be responded. In the abstraction view, four
aspects of an event including ‘Label’, ‘Meaning’, ‘Source
Object’ and ‘Destination Object’ must be specified. We
prepared Table 4, as the main event list for the CCPS.
Since we did not fully implement this system, the ‘Front
End and ‘Back End’ use cases are not in the table.
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Fig. 4: The Class Diagram of the Control Command Police System
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Fig. 5: Number of Use cases identified in the development of Control Command Police System
As we can see in the table, these are 85 events in the
control command police system. Each event must be
responded by a specific functionally of the objects. The
number of Use cases identified in the development of
Control Command Police System are depicted in Fig. 5.
From the figure, we derive several observations as
follows:
Observation-1: The percentages of ‘Primary’ and
‘Essential’ use cases in the Control Command
Police system almost have the most highest value,
respectively. It is because of ‘Primary use cases’
constitute the reason for which the system
developed and ‘Essential use cases’ make business
solutions that are independent of implementation.
Observation-2: The percentage of ‘Low Level’
use case is significantly more than ‘High Level’
use cases. It is due to the ‘High Level use case’ are
general activities while ‘Low Level use cases’ are
where we need the specific activities.
Observation-3: The percentage of ‘Essential’ use
cases is significantly more than ‘Concrete’ use
cases.It is because of we have not too much use
cases concerned with specific hardware such as
GPS in the control command police system.
Observation-4: The percentage of ‘Primary’ use
cases is significantly more than ‘Secondary’ use
cases.It is due to the ‘Secondary use cases’
involves rare and exceptional conditions.
Observation-5: The percentage of ‘Including’ use
case is significantly more than ‘Extending’ use
cases.
Observation-6: The percentages of ‘Starting use
cases’ in the system are more than that of ‘Stopping
use case’ use case, i.e. only one. This relatively
higher percentage shows that ‘Starting use cases’
have more important in the software.
4. GUIDELINES
From a modeling perspective, a use case must capture the
series of interactions between an actor and the system that
achieves some useful business goal for the initiator of the
interaction. The identification of responsibilities of the
actors is a good base from which to find reasons for the
actor to interact with the system. In this section, several
guidelines are recommended to perform any use case
modeling, based on our experience obtained from
developing use cases in the control command police
system.
4.1 Guideline for Identifying High-level, Primary and
Essential Use Cases
When dealing with high level, primary and essential use
cases, we must identify general activities first. These
general activities constitute high-level use cases that are
actually defined by a set of low-level use cases. The low-
level use cases are where the specific activities are
identified. The guidelines for performing this step follow:
We must not introduce too much detail in the
basic descriptions of a use case. It is normal for a
description to seem trivial by the time that analyst
completes documenting the use case. The value
of keeping it simple is to give us a mental nudge
when we are bogged down in details later.
The preconditions section of the use case
description should identify what information is
required for these use cases to execute normally.
We must avoid ‘technology-dependent use cases’
like load, save, startup, and shutdown when
identifying ‘High Level’, ‘Primary’ and
‘Essential’ use cases because addressing business
use cases still does not finish. There is not
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enough information available to effectively
identify appropriate behavior. These use cases
will be the last ones to be developed because we
must wait until sufficient details are known to
identify what information must be initialized
during startup and preserved during shutdown.
4.2 Guidelines for developing Secondary, Concrete and
Low-level Use Cases
When dealing with secondary, concrete and low-level use
cases, we are introducing details that border on design.
The development of these use cases should only be
attempted by individuals with significant design skills. An
extremely common problem encountered is for a poor
design to be specified in these use cases. We must look
into the structure of the system rather than the system
itself. The guidelines to following during the early
iterations are as follows:
If the ‘detail section’ of a use case includes
another use case, we must identify all of the
exceptions that the included use case can throw
for that step. This allows the ‘including use case’
to identify the error condition to which it must
react. Of course, these exceptions will be
identified in the exceptions section of the
description for the ‘included use case’.
For each step in the ‘details section’, we must
identify what errors or alternatives can occur.
Each error is examined in terms of what actions
should be taken to keep the model consistent. The
information necessary to identify what actions
should be taken is often clear from the context in
which the error occurs.
We must not put a lots of ‘ifs’ and ‘go to/jumps’
in the ‘details section’ because they interfere with
understanding the domain.
It is important to label each step appearing
within the ‘details section’ of the template (Table
1) with a number. This allows us to make cross-
references to that step in other sections of the use
case. This is extremely significant when it comes
to identifying ‘exceptions’ and ‘constraints’ of
the template.
We must capture ‘exceptions’ in a table that
includes three columns: (a) the step in which the
error occurs, (b) a label for the error, and (c) the
actions that should be performed. As was the case
with the details section, it is useful to number
each step in the actions to be performed.
4.3 Guidelines for developing Generalizing, Children,
Including and Extending Use Cases
When dealing with ‘including’, ‘extending’, ‘generalizing’
and ‘children’ use cases, the following guidelines must be
considered:
We must view ‘including use case’ as a relation
that identifies a use case that acts like a
subroutine to other use cases. Typically, included
use cases will not have actors that initiate them.
We can consider these use cases as inheriting
actors.
In some cases, a number of use cases all share a
common structure with the exception of some
minor additional steps. These cases can be
simplified as an extension of a common
‘generalizing use case’. In this case, the use case
exploits the details of another use case and
identifies where the additional details are
incorporated.
The precondition section of a use case that
extends another identifies the condition that
determines if the ‘extending use case’ should be
invoked.
In some cases, the same general activity may take
place in several use cases, but have significantly
different details depending upon the entities that
participate in them. Even though ‘generalizing
use case’ should have been identified earlier than
this point, it is still a good idea to examine the
use cases to determine if new ‘generalizing use
case’ can be added.
4.4 Guidelines for Developing Starting, Stopping,
Frond End and Back End Use Cases
When dealing with ‘Starting, ‘Stopping’, ‘Frond End’ and
‘Back End’ use cases, the following guidelines must be
considered: The most common situation encountered
among people writing use cases for the first time is that
they immediately start writing use cases for starting and
stopping the system. The main problem is that they don't
even know what the system is to do, yet they are worried
about what initialization activities have to take place. The
guidelines to establish when these use cases should be
developed are as follows:
In writing ‘Frond End’ Use case, we must be
worrying about screens that lead to difficulty in
writing the use cases. Often, analyst gets about
halfway through the use case and then starts
describing what some screen looks like. The
description can go on for pages if the screen
layout is complex. Instead, the analyst should
only identify the objects present on the screen.
Even then, only focus on those that apply to the
use case. We must not worry about the layout of
the buttons and fields on the screen. It is the
interaction with the screen that is important in the
use case. That can be done as a figure in the
‘comment section’ of the ‘use case description’ or
in a separate description from the use case.
In writing ‘Starting’ Use case, we must consider
that the initialization activities are highly design-
dependent. If the analyst develops ‘essential’ use
cases, then there will not be sufficient
information to identify what actions should be
performed during ‘starting’ and ‘stopping’ use
cases’. These events should not be developed for
‘essential use cases’.
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When the analyst develops ‘concrete use cases’,
the ‘Starting’ and ‘Stopping’ use cases should
only be addressed once all of the ‘essential’ and
‘secondary’ use cases have been developed. At
this point, one has sufficient detail to identify if
connections to external actors should be created
during initialization or not; whether specific
structural details have to be constructed, and so
on.
It is important to distinguish the service request
or event notification the actor is initiating from
the manner (action) in which the actor invokes
the request or event notification. In many cases,
the same service request can be invoked in
multiple fashions: by keystrokes, menu items, or
buttons. However, the resulting activities of the
system are identical. It is this later component
that we are attempting to capture in use cases.
5. SUMMARY AND CONCLUSION
This paper reviewed different use cases as a means for use
case modeling in software development. From a modeling
perspective, a use case must capture the series of
interactions between an actor and the system that achieves
some useful business goal for the initiator of the
interaction. The identification of responsibilities of the
actors is a good base from which to find reasons for the
actor to interact with the system. The recommended
approach is:
a) We must develop a primary, essential, high-level
use case model and consider scenarios as
instances of use cases. Creating more abstract
scenarios to develop use case is necessary if two
or three scenarios look very similar. We must be
cautious of creating more than 40 use cases to
cover the fundamental system actions, ‘High
Level’ use cases (It was 35 in our experiment, as
a large system). Additional use cases for unusual
events should be chosen with care and kept to a
manageable number.
b) If the business domain is not well understood, we
must use the model of the step (a) to develop a
primary and secondary, essential, low-Level use
case model. To identify details, we must start
simple and slowly introduce complexity. We
must focus first on the simple case where
everything is perfect and no problems exist. It is
not a bad idea to give a very brief set of details
initially for each use case, focusing only on
course features. This allows analyst to identify
supporting use cases that simplify the process by
extracting common details into other use cases.
c) If the technology is not well clarified, we must
use the model of the step (b) to develop a
primary, concrete, low-level use case model.
d) If the system involves with reliability, we must
use the models of the step (b) and the step (c) to
help develop a secondary, concrete, low-level use
case model.
REFERENCES
[1]. N. Ashrafi, H. Ashrafi, Object Oriented Systems
Analysis and Design, Pearson, 2009.
[2]. S.H. Pfleeger, and J.M. Atlee, Software
Engineering: Theory and Practice, 4th
Edition,
Pearson, 2010.
[3]. R.S. Pressman, Software Engineering: A
Practitioner's Approach, 8th
Edition, McGraw-
Hill, 2015.
[4]. J. Rumbaugh, M. Blaha, W. Premerlani, F.
Eddy, and W. Lorensen, Object-Oriented
Modeling and Design, Prentice-Hall, 1992.
[5]. D. Rosenberg, and M. Stephens, Use Case
Driven Object Modeling with UML: Theory and
Practice, Apress, 2007.
[6]. C. Larman, Applying UML and Patterns – An
Introduction to Object-Oriented Analysis and
Design and Iterative Development, 3rd
edition,
Prentice Hall, 2005.
[7]. J. Rumbaugh, Getting Started: Using Use Cases
To Capture Requirements,Object-Oriented
Programming, September, 1994.
[8]. I. Jacobson, G. Booth, and J. Rumbaugh, The
Unified Software Development Process,
Addison-Wesley, 1999.
[9]. A. Cockburn, Writing Effective Use Cases
(Draft 3), Addison Wesley Longman, 2000.
[10]. B. Bruegge, and A.H. Dutoit, Object-Oriented
Software Engineering: Using UML, Patterns,
and Java, Pearson Prentice Hall, 2010.
[11]. R.C Lee, and W.M. Tepfenhart, UML and C++:
A Practical Guide to Object-Oriented
Development, 2nd
Edition, Pearson Prentice Hall,
2005.
[12]. P. Coad, and E. Yourdon, Object-Oriented
Analysis, Yourdon Press, 1991.
[13]. N. Goldsein, and J. Alger., Developing Object-
Oriented Software for the Macintosh Analysis,
Design, and Programming, Addison-Wesley,
1992.
[14]. M. Langer, Analysis and Design of Information
Systems, 3rd
Edition, Springer-Verlag London
Limited, 2008.
[15]. J. Martin, and J. Odell, Object-Oriented
Analysis and Design, Prentice-Hall, 1992.
13. Int. J. Advanced Networking and Applications
Volume: 08 Issue: 05 Pages: 3188-3200 (2017) ISSN: 0975-0290
3200
[16]. Y. Sommerville, Software Engineering, 9th
Edition, Pearson Education, 2010.
[17]. H. Rashidi, Software Engineering - A
programming approach, 2nd
Edition, Allameh
Tabataba’i University Press (in Persian), Iran,
2014.
[18]. G. Booch, J. Rumbaugh, and I. Jacobson, The
Unified Modeling Language User Guide,
Addison-Wesley, 1999.
[19]. J. Rumbaugh, I. Jacobson, and G. Booch, The
Unified Modeling Language Reference Manual,
Addison-Wesley, 1999.
[20]. M. Fowler, and K. Scott, UML Distilled A Brief
Guide to The Standard Object Modeling Guide,
2nd
Edition,Addison Wesley Longman, Inc,
1999.
[21]. I. Jacobson, M.P. Christerson, and F. Overgaard,
Object-Oriented Software Engineering - A Use
Case Approach, Addison-Wesley, Wokingham,
England, 1992.
[22]. G. Bavota, A.De. Lucia, A. Marcus, and R.
Oliveto, Automating extract class refactoring:
an improved method and its evaluation,
Empirical Software Engineering, Vol. 19, pp.
1616-1664, 2014.
[23]. G. Canforaa, A. Cimitilea, A.D. Luciaa, and
G.A.D. Lucca, Decomposing Legacy Systems
into Objects: An Eclectic Approach, Information
and Software Technology, Vol. 43, pp. 401-412,
2001.
[24]. A.V. Deursen, and T. Kuipers, Identifying
Objects Using Cluster and Concept Analysis,
Proc. of 21st
International Conference on
Software Engineering, Los Angeles, CA, ACM
Press, New York, pp. 246-255, 1999.
[25]. M. Fokaefs, N. Tsantalis, E. Strouliaa, and A.
Chatzigeorgioub, Identification And Application
Of Extract Class Refactoring In Object-Oriented
Systems, Journal of Systems and Software, Vol.
85 , pp. 2241–2260, 2012.
[26]. J.V Gurp, and J. Bosch, Design,
Implementation, and Evolution of Object-
Oriented Frameworks: Concepts and
Guidelines, Software, Practice and Experience,
Vol. 31, pp. 277-300, 2001.
[27]. H. Rashidi, Objects Identification in Object-
Oriented Software Development - A Taxonomy
and Survey on Techniques, Journal of Electrical
and Computer Engineering Innovations, Vol. 3
(2), pp. 27-43, 2015.
[28]. S. Schlaer, and S. Melior, Object Lifecycles:
Modeling the World in States, Yourdon Press,
1992.
[29]. R. Wirfs-Brock, Designing Object-Oriented
Software, Prentice-Hall, 1990.
[30]. M. Josuttis Nicolai, The C++ Standard Library:
A Tutorial and Reference, Addison-Wesley,
1999.