Requirement engineering is the process of identifying stakeholders' needs and defining the requirements of a system. The presenter outlines key activities in requirement engineering including elicitation, analysis, modeling, communication, management, agreeing, and evolving requirements. Research focuses on improving elicitation techniques, quality requirements, risk analysis, scenario modeling, formal modeling, and bridging the gap between research and practice in requirements engineering.
This document discusses requirements validation and techniques for validating requirements. It defines requirements validation as checking that requirements define the system the customer wants. Validation is important because fixing requirements errors later is very costly. The document describes various checks that can be performed on requirements like validity, consistency, completeness, and verifiability. It also outlines techniques for validation like requirements reviews, prototyping, and test-case generation. Finally, it notes that validating requirements is difficult and some problems may still be found after validation.
This lecture provide a review of requirement engineering process. The slides have been prepared after reading Ian Summerville and Roger Pressman work. This lecture is helpful to understand user, and user requirements.
Requirement prioritization is used in Software product management for determining which candidate requirements of a software product should be included in a certain release. Requirements are also prioritized to minimize risk during development so that the most important or high risk requirements are implemented first. Several methods for assessing a prioritization of software requirements exist.
The document outlines the software requirements engineering process, which includes gathering requirements from stakeholders, documenting them in a software requirements specification (SRS), and validating the requirements. It discusses the different types of requirements like functional, non-functional, and domain requirements. It also describes various techniques used for eliciting requirements, such as interviews, surveys, questionnaires, task analysis, domain analysis, brainstorming, and prototyping.
Objectives:
1. To understand the different processes in the realm of ‘Requirements Engineering’.
2. To see the challenges in requirements development and the importance of getting requirements right in an IT project.
3. To understand the different techniques used in different phases and processes of requirements development and management.
This chapter discusses system modeling and different types of models used, including:
- Context models which illustrate the operational context of a system.
- Interaction models which model interactions between a system and its environment.
- Structural models which display the organization of a system's components.
- Behavioral models which model a system's dynamic behavior in response to events or data.
- Model-driven engineering is discussed as an approach where models rather than code are the primary outputs.
In systems engineering and software engineering, requirements analysis encompasses those tasks that go into determining the needs or conditions to meet for a new or altered product or project, taking account of the possibly conflicting requirements of the various stakeholders, analyzing, documenting, validating and managing software or system requirements.
This course covers software requirement engineering over 10 topics, including basics, processes, management, and tools. Students will be assessed through a final exam (60%), midterm (15%), and tutorials/presentations (25%). The course lab will provide hands-on experience with requirements tools and models. Requirements are conditions that must be met by a system, and define customer expectations, system boundaries, and quality attributes from different perspectives. Poor requirements can lead to imprecise, ambiguous, contradictory, changing, low quality requirements or missing requirements.
This document discusses requirements validation and techniques for validating requirements. It defines requirements validation as checking that requirements define the system the customer wants. Validation is important because fixing requirements errors later is very costly. The document describes various checks that can be performed on requirements like validity, consistency, completeness, and verifiability. It also outlines techniques for validation like requirements reviews, prototyping, and test-case generation. Finally, it notes that validating requirements is difficult and some problems may still be found after validation.
This lecture provide a review of requirement engineering process. The slides have been prepared after reading Ian Summerville and Roger Pressman work. This lecture is helpful to understand user, and user requirements.
Requirement prioritization is used in Software product management for determining which candidate requirements of a software product should be included in a certain release. Requirements are also prioritized to minimize risk during development so that the most important or high risk requirements are implemented first. Several methods for assessing a prioritization of software requirements exist.
The document outlines the software requirements engineering process, which includes gathering requirements from stakeholders, documenting them in a software requirements specification (SRS), and validating the requirements. It discusses the different types of requirements like functional, non-functional, and domain requirements. It also describes various techniques used for eliciting requirements, such as interviews, surveys, questionnaires, task analysis, domain analysis, brainstorming, and prototyping.
Objectives:
1. To understand the different processes in the realm of ‘Requirements Engineering’.
2. To see the challenges in requirements development and the importance of getting requirements right in an IT project.
3. To understand the different techniques used in different phases and processes of requirements development and management.
This chapter discusses system modeling and different types of models used, including:
- Context models which illustrate the operational context of a system.
- Interaction models which model interactions between a system and its environment.
- Structural models which display the organization of a system's components.
- Behavioral models which model a system's dynamic behavior in response to events or data.
- Model-driven engineering is discussed as an approach where models rather than code are the primary outputs.
In systems engineering and software engineering, requirements analysis encompasses those tasks that go into determining the needs or conditions to meet for a new or altered product or project, taking account of the possibly conflicting requirements of the various stakeholders, analyzing, documenting, validating and managing software or system requirements.
This course covers software requirement engineering over 10 topics, including basics, processes, management, and tools. Students will be assessed through a final exam (60%), midterm (15%), and tutorials/presentations (25%). The course lab will provide hands-on experience with requirements tools and models. Requirements are conditions that must be met by a system, and define customer expectations, system boundaries, and quality attributes from different perspectives. Poor requirements can lead to imprecise, ambiguous, contradictory, changing, low quality requirements or missing requirements.
System Quality Attributes for Software ArchitectureAdnan Masood
Software Quality Attributes are the benchmarks that describe system’s intended behavior. These slides go through an overview of what some of these attributes are and how to evaluate them.
This document discusses requirement engineering and techniques for requirements elicitation. It defines requirements and describes the different levels of requirements from business to functional to non-functional. The key techniques discussed for eliciting requirements include interviewing stakeholders, holding requirements workshops, brainstorming with users, creating storyboards and use cases, and building prototypes. Prototyping in particular is highlighted as an effective way to address common issues in requirements elicitation like the "yes, but" syndrome and discovering additional undisclosed needs.
In this Business Analysis training session, you will learn about Requirement Elicitation Techniques. Topics covered in this session are:
• Requirements Engineering
• Project Scope
• Landscape of Requirements
• Properties of Requirements
• Types of Requirements
• Stakeholder
• Requirements Elicitation
• Techniques
For more information, click here: https://www.mindsmapped.com/courses/business-analysis/become-a-business-analyst-with-hands-on-practice/
Software requirements engineering lecture 01Abdul Basit
This document discusses requirements engineering and its importance in software project success. It defines requirements engineering and outlines the key processes: elicitation, analysis, specification, verification and validation, and management. Case studies show that requirements engineering impacts several critical success factors, including user involvement, clear requirements, proper planning, and realistic expectations. When done thoroughly through multiple release cycles, requirements engineering can help deliver projects on time and on budget by ensuring the development team is building the right system to meet user needs.
The document discusses requirements analysis and specification in software engineering. It defines what requirements are and explains the typical activities involved - requirements gathering, analysis, and specification. The importance of documenting requirements in a Software Requirements Specification (SRS) document is explained. Key sections of an SRS like stakeholders, types of requirements (functional and non-functional), and examples are covered. Special attention is given to requirements for critical systems and importance of non-functional requirements.
Non-functional requirements describe how a system will operate rather than what it will do. They include qualities like usability, reliability, performance, and supportability. Usability measures how easy a system is to use, learn, and adapt to user needs. Reliability refers to the likelihood of failures and is measured by metrics like mean time between failures. Performance requirements specify the system's efficiency and response times. Supportability involves how easily a system can be maintained, internationalized, and adapted to changes.
Requirements engineering is the discipline that involves establishing and documenting requirements. The various activities associated with requirements engineering are elicitation, specification, analysis, verification and validation, and management.
The document discusses various aspects of requirements engineering including processes, techniques, challenges, and importance. It describes requirements elicitation, analysis, specification, validation, and management. Key points covered include feasibility studies, types of requirements, characteristics of good requirements, requirements traceability and evolution. Diagrams like use cases, activity diagrams and data flow diagrams are presented as examples of requirements specification outputs.
In this Business Analysis training session, you will learn about SDLC. Topics covered in this session are:
• SDLC (Software Development Life Cycle)
• Types of SDLC Methodologies
• Waterfall Approach
• Incremental Approach
• Iterative Approach
• Difference between Incremental and Iterative
• Prototype Approach
• Spiral Approach
• Overview of RUP
• Phases of RUP
• Activity
• Artifact
• Worker
• Worflow
• Overview of Agile
For more information, click here: https://www.mindsmapped.com/courses/business-analysis/step-by-step-guide-to-learn-sdlc-methodologies/
The document discusses software requirements and specifications. It explains that requirements engineering is the process of establishing customer requirements for a system. Requirements can range from high-level abstract statements to detailed functional specifications. Both types of statements may be called requirements. The document also discusses different types of requirements like user requirements, system requirements, functional requirements, and non-functional requirements. It provides examples and explanations of each. The structure and intended users of a requirements document are also covered.
Agile requirement gathering and elicitation techniques will be explained on this presentation. It is useful for Business Analysts and Agile practioners.
Presentation on component based software engineering(cbse)Chandan Thakur
The document presents an overview of component based software engineering. It discusses what a component is, the fundamental principles of CBSE, the CBSE development lifecycle, and metrics used in CBSE. Benefits include reduced complexity and development time while difficulties include quality of components and satisfying requirements. CBSE uses pre-built components while traditional SE builds from scratch. Current component technologies discussed are CORBA, COM, EJB, and IDL. Applications of CBSE are in many domains.
The document provides an overview of software architecture. It discusses software architecture versus design, architectural styles like layered and pipe-and-filter styles, software connectors like coordinators and adapters, and using architecture for project management, development and testing. Architectural styles from different domains like buildings are presented as analogies for software architecture styles. The benefits of architectural styles for explaining a system's structure and enabling development of system families are highlighted.
The document provides an introduction and overview of design patterns. It defines design patterns as common solutions to recurring problems in software design. The document discusses the origin of design patterns in architecture, describes the four essential parts of a design pattern (name, problem, solution, consequences), and categorizes patterns into creational, structural, and behavioral types. Examples of commonly used patterns like Singleton and State patterns are also presented.
These slides discuss software testing strategies and accompany the textbook "Software Engineering: A Practitioner's Approach". They cover topics like the definition of testing, the strategic approach to testing, verification vs validation, unit testing, integration testing strategies, regression testing, smoke testing, and testing for object-oriented software. The overall purpose of the slides is to outline best practices and approaches for effectively testing software at various stages from the module level to full system integration and validation.
Evolutionary process models allow developers to iteratively create increasingly complete versions of software. Examples include the prototyping paradigm, spiral model, and concurrent development model. The prototyping paradigm uses prototypes to elicit requirements from customers. The spiral model couples iterative prototyping with controlled development, dividing the project into framework activities. The concurrent development model concurrently develops components with defined interfaces to enable integration. These evolutionary models allow flexibility and accommodate changes but require strong communication and updated requirements.
This document discusses various topics related to software design including design principles, concepts, modeling, and architecture. It provides examples of class/data design, architectural design, interface design, and component design. Some key points discussed include:
- Software design creates representations and models that provide details on architecture, data structures, interfaces, and components needed to implement the system.
- Design concepts like abstraction, modularity, encapsulation, and information hiding are important to reduce complexity and improve design.
- Different types of design models include data/class design, architectural design, interface design, and component-level design.
- Good software architecture and design lead to systems that are more understandable, maintainable, and of higher quality.
8 Most Effective Requirements Gathering Techniques.Xebrio
Check out these requirement gathering techniques to ensure that you don't miss any requirements and avoid project failure.
Requirements gathering is an important part of the project management which ensures that you do not miss the deadlines.
#RequirementsGathering
The document introduces software architecture and describes key aspects of documenting a software architecture. It defines software architecture as the structure of components and relationships in a system. It outlines the 4+1 views model for documenting architecture, including use case, logical, process, deployment, and code views. It provides examples of architectural patterns like model-view-controller and layered patterns. It describes how a software architecture document outlines architectural goals, constraints, and quality attributes.
This chapter discusses requirements engineering processes. It defines a process as an organized set of activities that transforms inputs to outputs. Requirements engineering is presented as a design process involving creativity and interactions between people. The key activities in most requirements engineering processes are requirements elicitation, analysis and negotiation, and validation. Process models can describe requirements engineering processes at different levels of granularity. Human factors are important influences as requirements processes involve stakeholders from varying backgrounds. Process improvement is achieved through incremental introduction of good practices and maturity models can assess organizational process capabilities.
System Quality Attributes for Software ArchitectureAdnan Masood
Software Quality Attributes are the benchmarks that describe system’s intended behavior. These slides go through an overview of what some of these attributes are and how to evaluate them.
This document discusses requirement engineering and techniques for requirements elicitation. It defines requirements and describes the different levels of requirements from business to functional to non-functional. The key techniques discussed for eliciting requirements include interviewing stakeholders, holding requirements workshops, brainstorming with users, creating storyboards and use cases, and building prototypes. Prototyping in particular is highlighted as an effective way to address common issues in requirements elicitation like the "yes, but" syndrome and discovering additional undisclosed needs.
In this Business Analysis training session, you will learn about Requirement Elicitation Techniques. Topics covered in this session are:
• Requirements Engineering
• Project Scope
• Landscape of Requirements
• Properties of Requirements
• Types of Requirements
• Stakeholder
• Requirements Elicitation
• Techniques
For more information, click here: https://www.mindsmapped.com/courses/business-analysis/become-a-business-analyst-with-hands-on-practice/
Software requirements engineering lecture 01Abdul Basit
This document discusses requirements engineering and its importance in software project success. It defines requirements engineering and outlines the key processes: elicitation, analysis, specification, verification and validation, and management. Case studies show that requirements engineering impacts several critical success factors, including user involvement, clear requirements, proper planning, and realistic expectations. When done thoroughly through multiple release cycles, requirements engineering can help deliver projects on time and on budget by ensuring the development team is building the right system to meet user needs.
The document discusses requirements analysis and specification in software engineering. It defines what requirements are and explains the typical activities involved - requirements gathering, analysis, and specification. The importance of documenting requirements in a Software Requirements Specification (SRS) document is explained. Key sections of an SRS like stakeholders, types of requirements (functional and non-functional), and examples are covered. Special attention is given to requirements for critical systems and importance of non-functional requirements.
Non-functional requirements describe how a system will operate rather than what it will do. They include qualities like usability, reliability, performance, and supportability. Usability measures how easy a system is to use, learn, and adapt to user needs. Reliability refers to the likelihood of failures and is measured by metrics like mean time between failures. Performance requirements specify the system's efficiency and response times. Supportability involves how easily a system can be maintained, internationalized, and adapted to changes.
Requirements engineering is the discipline that involves establishing and documenting requirements. The various activities associated with requirements engineering are elicitation, specification, analysis, verification and validation, and management.
The document discusses various aspects of requirements engineering including processes, techniques, challenges, and importance. It describes requirements elicitation, analysis, specification, validation, and management. Key points covered include feasibility studies, types of requirements, characteristics of good requirements, requirements traceability and evolution. Diagrams like use cases, activity diagrams and data flow diagrams are presented as examples of requirements specification outputs.
In this Business Analysis training session, you will learn about SDLC. Topics covered in this session are:
• SDLC (Software Development Life Cycle)
• Types of SDLC Methodologies
• Waterfall Approach
• Incremental Approach
• Iterative Approach
• Difference between Incremental and Iterative
• Prototype Approach
• Spiral Approach
• Overview of RUP
• Phases of RUP
• Activity
• Artifact
• Worker
• Worflow
• Overview of Agile
For more information, click here: https://www.mindsmapped.com/courses/business-analysis/step-by-step-guide-to-learn-sdlc-methodologies/
The document discusses software requirements and specifications. It explains that requirements engineering is the process of establishing customer requirements for a system. Requirements can range from high-level abstract statements to detailed functional specifications. Both types of statements may be called requirements. The document also discusses different types of requirements like user requirements, system requirements, functional requirements, and non-functional requirements. It provides examples and explanations of each. The structure and intended users of a requirements document are also covered.
Agile requirement gathering and elicitation techniques will be explained on this presentation. It is useful for Business Analysts and Agile practioners.
Presentation on component based software engineering(cbse)Chandan Thakur
The document presents an overview of component based software engineering. It discusses what a component is, the fundamental principles of CBSE, the CBSE development lifecycle, and metrics used in CBSE. Benefits include reduced complexity and development time while difficulties include quality of components and satisfying requirements. CBSE uses pre-built components while traditional SE builds from scratch. Current component technologies discussed are CORBA, COM, EJB, and IDL. Applications of CBSE are in many domains.
The document provides an overview of software architecture. It discusses software architecture versus design, architectural styles like layered and pipe-and-filter styles, software connectors like coordinators and adapters, and using architecture for project management, development and testing. Architectural styles from different domains like buildings are presented as analogies for software architecture styles. The benefits of architectural styles for explaining a system's structure and enabling development of system families are highlighted.
The document provides an introduction and overview of design patterns. It defines design patterns as common solutions to recurring problems in software design. The document discusses the origin of design patterns in architecture, describes the four essential parts of a design pattern (name, problem, solution, consequences), and categorizes patterns into creational, structural, and behavioral types. Examples of commonly used patterns like Singleton and State patterns are also presented.
These slides discuss software testing strategies and accompany the textbook "Software Engineering: A Practitioner's Approach". They cover topics like the definition of testing, the strategic approach to testing, verification vs validation, unit testing, integration testing strategies, regression testing, smoke testing, and testing for object-oriented software. The overall purpose of the slides is to outline best practices and approaches for effectively testing software at various stages from the module level to full system integration and validation.
Evolutionary process models allow developers to iteratively create increasingly complete versions of software. Examples include the prototyping paradigm, spiral model, and concurrent development model. The prototyping paradigm uses prototypes to elicit requirements from customers. The spiral model couples iterative prototyping with controlled development, dividing the project into framework activities. The concurrent development model concurrently develops components with defined interfaces to enable integration. These evolutionary models allow flexibility and accommodate changes but require strong communication and updated requirements.
This document discusses various topics related to software design including design principles, concepts, modeling, and architecture. It provides examples of class/data design, architectural design, interface design, and component design. Some key points discussed include:
- Software design creates representations and models that provide details on architecture, data structures, interfaces, and components needed to implement the system.
- Design concepts like abstraction, modularity, encapsulation, and information hiding are important to reduce complexity and improve design.
- Different types of design models include data/class design, architectural design, interface design, and component-level design.
- Good software architecture and design lead to systems that are more understandable, maintainable, and of higher quality.
8 Most Effective Requirements Gathering Techniques.Xebrio
Check out these requirement gathering techniques to ensure that you don't miss any requirements and avoid project failure.
Requirements gathering is an important part of the project management which ensures that you do not miss the deadlines.
#RequirementsGathering
The document introduces software architecture and describes key aspects of documenting a software architecture. It defines software architecture as the structure of components and relationships in a system. It outlines the 4+1 views model for documenting architecture, including use case, logical, process, deployment, and code views. It provides examples of architectural patterns like model-view-controller and layered patterns. It describes how a software architecture document outlines architectural goals, constraints, and quality attributes.
This chapter discusses requirements engineering processes. It defines a process as an organized set of activities that transforms inputs to outputs. Requirements engineering is presented as a design process involving creativity and interactions between people. The key activities in most requirements engineering processes are requirements elicitation, analysis and negotiation, and validation. Process models can describe requirements engineering processes at different levels of granularity. Human factors are important influences as requirements processes involve stakeholders from varying backgrounds. Process improvement is achieved through incremental introduction of good practices and maturity models can assess organizational process capabilities.
The document describes various software process models. It begins by defining what a software process and process model are. It then discusses different types of process flows (linear, iterative, evolutionary, parallel) and the activities, actions, tasks that make up a process model. It covers process patterns, assessment frameworks, and different prescriptive process models like the waterfall model, incremental model, and evolutionary/prototyping models. The document provides details on various aspects of defining, selecting and applying appropriate process models for software development projects.
The document discusses the importance of requirements analysis and outlines desired skills and characteristics of effective requirements analysts. It notes that 53% of industry investments are lost to cost overruns and failed projects due to issues with requirements like incompleteness and changes. Effective requirements practices like collaborating with customers, managing requirements changes, and using automated tools can help reduce rework costs that typically account for 45% of projects. The document provides recommendations for training requirements analysts and establishing requirements processes and management commitment to support successful requirements definition.
Goal Decomposition and Abductive Reasoning for Policy Analysis and RefinementEmil Lupu
This document discusses an approach to policy refinement and analysis using goal decomposition, abductive reasoning, and formal representations of policies and managed objects. The approach involves decomposing high-level goals into refined policies using patterns, and applying abductive reasoning to derive policy elements and ensure consistency during refinement. Formal models of policies, goals, and managed objects are used to enable analysis, validation, and detect conflicts. The approach provides explanations for refinement and analysis results. The document also discusses limitations and comparisons to other policy refinement techniques.
The document outlines guidelines for an end semester examination on working capital management. It includes 5 questions - the first two questions ask about credit policy and its elements, and the different
Cariappa has nearly 3 years of experience in engineering change management, supply chain management, and design engineering. He has experience working with companies like Tata Consultancy Services, Nokia, and Applied Materials in roles like systems engineer, design engineer, and product management. Cariappa has strong skills in Pro-E design tools, product lifecycle management tools, and database tools. He holds a B.E. in Mechanical Engineering.
This document provides an introduction to requirement management and analysis. It discusses identifying customer needs, building analysis models, prototyping uncertainties, and specifying requirements to guide system design. Key aspects of requirements engineering include eliciting, analyzing, documenting, and validating stakeholder needs. Requirements should be written to describe what a system should do, without specifying how. Techniques for gathering requirements include interviews, workshops, prototypes, and use cases. Structured English and other templates can bring rigor to documenting requirements in natural language.
How to conduct systematic literature reviewKashif Hussain
The slides show how to conduct systematic literature review (SLR) in any field of research. It is highly important that any SLR should ultimately highlight potential future directions and research gaps so that prospect researchers may focus on those particular areas.
The document discusses the importance of requirements engineering in software development. It states that incomplete or changing requirements are major causes of cost overruns in projects. Proper requirements analysis can help reduce errors and save significant costs compared to later fixes. Challenges include insufficient time, review, and technical knowledge as well as political and communication issues. The key is to fully understand user needs, write clear specifications, and manage requirements throughout the project lifecycle.
This presentation is about a lecture I gave within the "Software systems and services" immigration course at the Gran Sasso Science Institute, L'Aquila (Italy): http://cs.gssi.infn.it/.
http://www.ivanomalavolta.com
The document discusses the TOGAF architecture framework. TOGAF provides methods and tools to help establish, use, and maintain an enterprise architecture. It uses an iterative process model supported by best practices. The framework includes business, application, data, and technology architectures. It also describes the phases of an architecture development method including preliminary planning, developing the architecture vision, and building the business, application, data, and technology architectures.
This document provides an overview of the CSE320 Software Engineering course. It includes details about the course such as it being a 3 credit hour course, the textbook, and the assessment model which includes assignments, tests, and exams worth various percentages of the total grade. It outlines the academic tasks including assignments and tests. It also covers topics that will be discussed like software development lifecycles, Unified Modeling Language, testing techniques, and software quality standards. Program and course outcomes are listed. The document concludes with an outline of course contents that will be covered in each unit and information about online educational resources for each unit.
This document discusses project scope management. It begins by defining project scope as the work involved in creating project deliverables and processes. It then outlines the key processes in scope management: collecting requirements, defining scope, creating a work breakdown structure (WBS), verifying scope, and controlling scope. The document provides details on each step, including how to document requirements, develop a project charter and scope statement, and create a WBS. It emphasizes the importance of scope management in developing accurate estimates and clearly communicating work responsibilities.
Requirements Decision Making through Architecturally Significant Requirementsspareuseratlero
This document discusses research into improving requirements decision making through architecturally significant requirements (ASRs). The research aims to understand how requirements decisions are made in enterprise software development, identify key challenges and opportunities, determine how to identify ASRs, and use these findings to enhance decision making. The research was conducted through a case study at Avaya involving surveys, interviews, and observations. Key contributions include a framework for identifying ASRs, empirical evidence on common requirements issues, and recommendations for integrating ASRs into decision making processes.
Human-centered AI: how can we support lay users to understand AI?Katrien Verbert
The document summarizes research on human-centered AI and how to support lay users in understanding AI. It discusses various research projects that aim to explain model outcomes to increase user trust and acceptance. It explores how personal characteristics like need for cognition can impact the effectiveness of explanations. The research also looks at different application domains for AI like healthcare, education, agriculture and recommendations. It emphasizes the importance of user involvement, personalization and domain expertise in developing AI systems that non-experts can understand and trust.
This document discusses feature engineering and machine learning approaches for predicting customer behavior. It begins with an overview of feature engineering, including how it is used for image recognition, text mining, and generating new variables from existing data. The document then discusses challenges with artificial intelligence and machine learning models, particularly around explainability. It concludes that for smaller datasets, feature engineering can improve predictive performance more than complex machine learning models, while large datasets are better suited to machine learning approaches. Testing on a small travel acquisition dataset confirmed that traditional models with feature engineering outperformed neural networks.
Framework for a Software Quality Rating SystemKarthik Murali
Software Quality Engineering is a broad area that is concerned with various approaches to improve software quality. A quality model would prove successful when it suffices the requirements of the developers and the consumers. This research focuses on establishing semantics between the existing techniques related to the software quality engineering and thereby designing a framework for rating software quality
Overview of Software Development Life Cycle Models. Why traditional parametric estimating tools do not help estimate a software project developed using the Agile model. Explain and demonstrate the “nearest neighbor” analogy technique to estimate Agile software projects. Data and actions needed to implement the nearest neighbor technique
Similar to Requirement engineering evaluation (20)
The document discusses research into improving the scalability of location-aware services through sharing techniques. It describes how location-aware services must handle large numbers of moving objects and continuous, concurrent spatial-temporal queries. The PLACE project aims to develop a framework to support scalable processing of these queries through sharing of space, query operators, object interests, selections, and window joins. This sharing allows different queries to reuse processed data and operators to improve efficiency and response times for location-aware services.
The document discusses optimizing spatial databases by using spatial indexes like R-trees and quadtrees. It provides an overview of different spatial indexing structures including R-trees, quadtrees, grid indexes and others. It also compares R-trees and quadtrees, and provides examples of implementing spatial indexes in Oracle Spatial.
This document discusses password-based cryptography and common attacks on passwords. It introduces password-based authentication techniques that use hashing, salting, and iteration counts to strengthen passwords. Key derivation functions are used to generate cryptographic keys from passwords. Common countermeasures against online and offline dictionary attacks are also presented, such as delayed responses, account locking, pricing via processing time, and public key cryptography.
This document discusses malicious traffic on computer networks. It defines malicious traffic as any traffic anomalies caused by hardware/software failures or intentionally modified internet packets. Several types of malicious traffic are described, including scanners, worms, spam, backscatter, and denial-of-service (DOS) attacks. Methods for detecting and preventing malicious traffic involve anomaly detection techniques, signature scanning, intrusion detection systems, quality-of-service metrics, and network filters. The conclusion emphasizes the importance of security awareness to help mitigate internet misuse.
The document discusses edge detection methods including gradient based approaches like Sobel and zero crossing based techniques like Laplacian of Gaussian. It proposes a new algorithm that applies fuzzy logic to the results of gradient and zero crossing edge detection on an image to more accurately identify edges. The algorithm calculates gradient and zero crossings, applies fuzzy rules to classify pixels, and thresholds to determine final edge pixels.
This document discusses peer-to-peer mobile payments. It begins by introducing the topic and noting key drivers for adoption. It then provides an overview of mobile payments in general, including common roles and scenarios. The document dives into peer-to-peer payment models, design issues, value chains, types including domestic transfers and international remittances, and considerations for evaluating models. It aims to give a well-rounded overview of the peer-to-peer mobile payment landscape.
The document provides an overview of the publish-subscribe model from the perspective of a database. It discusses key aspects of the publish-subscribe model including decoupling of publishers and subscribers, subscription models, and quality measures. It also examines applying publish-subscribe concepts in databases through expressions, continuous queries, and using XML with XFilters and SQL queries.
This document discusses packet sniffing and ways to detect and prevent it. Packet sniffing involves using a packet sniffer tool to analyze network traffic. While switches make sniffing more difficult than hubs by only sending packets to their intended recipients, there are still sniffing attacks possible like ARP spoofing. The document outlines techniques for sniffing detection such as ARP cache poisoning and tools like Arpwatch. It also recommends prevention methods including port security, authentication, encryption, and secure protocols.
This document provides tips and guidelines for effective presentations. It discusses planning objectives tailored to the audience, preparing slides, rehearsing, and techniques for delivery. Key points covered include managing presentation anxiety, using visual aids to enhance comprehension, and the importance of rehearsal. Effective presentation skills are portrayed as an acquired skill through experience and training. Quotes emphasize knowing the subject well, stating what may not be obvious to the audience, giving presentations with passion, and making every presentation different.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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.
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
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Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
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3. Practical demonstrations
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Test Automation with generative AI and Open AI.
UiPath integration with generative AI
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2. Agenda
O Introduction.
O Requirement Engineering Overview.
O Requirement Engineering activities.
O Research in Requirement Engineering.
O Requirement Engineering Emerging
trends.
O Conclusion and Future work.
3. Introduction
O What is Requirement engineering.
O Why we study Requirement engineering.
O Basis for this research paper:
O A roadmap by Bashar Nuseibeh and Steve
Easterbrook at year 2000.
O Evaluate work since the past 10 years.
4. Requirement Engineering
Roadmap
Nuseibeh and Easterbrook
O Trends from the past:
O Analysis and requirements should be
carried out in the context of the
Organization.
O Modeling the environment rather than
system functionality accompanied with a
shift toward stakeholders goals modeling.
O The need to consider requirement conflicts
and there is no complete requirement
model.
5. Requirement Engineering
Roadmap
Nuseibeh and Easterbrook
O RE challenges in the years ahead of
2000:
O Developing new techniques for formal
modeling and analysis.
O Bridging the gap between formal and
contextual requirement elicitation.
O More models for analyzing non-functional
requirements.
O Better understand the impact of software
architecture chosen.
6. Requirement Engineering
Roadmap
Nuseibeh and Easterbrook
O Requirement models Reuse.
O Multidisciplinary training for requirement
engineers.
7. Requirement Engineering
Overview
O Why RE is important
O Determine what the system will do.
O Requirements defined with regard to the
context.
O Error costs are enormous over time.
O Past project Experience.
O Large scale systems.
8. Requirement Engineering
Overview Cont.
O Why RE is difficult
O Abstract requirements at the beginning.
O Various sources of requirements.
O Requirements in regard to the context.
O Evolving nature of the system.
O Difficult to create requirement statement
understandable by both non-technical and
technical people.
9. Requirement Engineering
Activities
O Requirement engineering process: series of
activities that intends to identify the needs of
various stakeholders, analyze them and verify
their validity in the context of the system.
O Elicitation.
O Modeling and Analysis.
O Communication and management.
O Agreeing.
O Evolving.
10. RE Activity: Elicitation
O Requirement gathering from various users
and stakeholders.
O Elicitation techniques:
O Traditional techniques.
O Interviews, Surveys, Observation, RAD/JAD,
Focus group, Document Analysis.
O Contextual and Personal techniques.
O Ethnography, Interface analysis, Reverse
engineering.
11. RE Activity: Elicitation Cont.
O Elicitation techniques:
O Innovative techniques.
O Brainstorming, workshops.
O Feedback techniques.
O Prototypes, Storyboard, visual and use
models.
12. RE Activity: Elicitation Cont.
O Research findings:
O Complexity and difficulty of elicitation, situations and
context of elicitation variable.
O Each project has its own characteristics and properties.
O Stakeholders vary and the degree of communication with
analysts, their experience and maturity are important.
O Elicitation vary by technological advances and solutions.
O The gap between requirement elicitation research and
practice still exists due to many factors like missing
processes documentation, lack of reports and cases
about specific problems and the difficulty in transferring
knowledge in this regard.
13. RE Activity: Analysis and
Modeling
O Requirement Analysis:
O Identifying the specifications of the system
that satisfies the customers’ demands and
provide enough information to build the
system.
O Formal or semi-formal description of the
problem to be solved that is represented in
a way that is difficult to be understood by
customers.
O Elaborates on requirements collected at
earlier stages of the project.
14. RE Activity: Analysis and
Modeling Cont.
O Requirement Modeling:
O Inherits the same specifications as requirement
analysis.
O Result is easily understandable by both users
and engineers of the system.
O Modeling notations used to specify how the
system will be constructed and interpreted.
O Notations can be any symbols, text, characters
and abbreviated expressions that raise the
level of abstraction in the requirement
description.
15. RE Activity: Analysis and
Modeling Cont.
O Research Findings:
O Quality Requirement should be imposed in this
stage.
O Quality measures are different from various
stakeholder point of view.
O Result from requirement analysis should be
correct, complete, consistent and unambiguous
set of requirements that can be transformed later
into models.
O Researchers focus on finding new or improved
techniques for evaluating the quality of
requirements delivered at this stage.
16. RE Activity: Analysis and
Modeling Cont.
O Research Findings:
O Risk analysis
O Countermeasures to system design
approaches and fine-tuning of the system are
more likely to change during various
phases, once risk associated with them are
evaluated and documented during
requirement analysis, problems associated
with these defects and costs can be
prevented.
17. RE Activity: Analysis and
Modeling Cont.
O Research Findings:
O Scenario-based modeling
O Description to real world scenario and stories.
O When performed before the design phase
O better understanding how the future system will
operate.
O When it will fail to meet demands.
O Provide description on various user behaviors and
interactions.
18. RE Activity: Analysis and
Modeling Cont.
O Research Findings:
O Extended requirement models:
O State-oriented modeling, FSMs and FSMDs used in
Controls systems, StateCharts and Petri nets that
provides a mathematical basis for formal analysis.
O Activity-oriented modeling, DFDs and flowchart.
O Heterogonous modeling.
O Multiple view modeling, UML.
O Structure modeling, Component connectivity diagrams
(CCDs).
19. RE Activity: Analysis and
Modeling Cont.
O Research Findings:
O Requirement transformation: Use cases into object-
oriented classes/objects models.
O Usage of functional and behavioral notations in
requirement modeling is still in use.
O Progress in the usage of specialized notations of the
environment was slow.
O Development of new techniques for formal modeling and
analysis of non-functional requirements.
O The gap between functional and non-functional
requirement modeling has been narrowed: natural
language, semantic notations, formal design analysis
and quality attributes.
20. RE Activity: Communication
O RE is the most communication rich phase.
O Carried out in a structural way.
O Communication in global software
development is challenging.
O Tools should be developed to enhance
communication in distributed systems.
21. RE Activity: Management
O Identification of requirements, managing
of change and identifying traceability
between them can be utilized by using
management tools and automated
techniques.
O Tools are used for storing and recalling
requirements, annotating requirements
and assigning relationships between them
O Need to evaluate change, planning and
managing their effects throughout the
entire system.
22. RE Activity: Management
Cont.
O Global and distributed requirement
engineering issues should be addressed
when managing requirements.
O Requirements from large scale systems
involve a considerable flow of
requirements that need to be carefully
managed and evaluated.
23. RE Activity: Agreeing
O Verify and validate that requirements
analyze and model accurately what the
stakeholder need.
O Validation is subjective task that uses
informal specifications or undocumented
requirements.
O verification is made When a formal
description of the requirements exists.
24. RE Activity: Agreeing Cont.
O Research findings:
O Researchers focus on improving the type of
information given to stakeholders for feedback.
O graphical animation and simulation, Model checking .
O Improve quality of requirements by using verification
and validation techniques:
O Non-executable specifications are written in natural
language that is verified using experimental
requirement management (ERM) tool.
O executable specifications are written in declarative
languages such as java modeling languages and
requirements can be verified through developing
prototypes
25. RE Activity: Evolving
O Requirements Evolve as system evolve over
time.
O Globalization, scalability and outsourcing
when adapting to change.
O Researches focus on various interactions with
the stakeholders, consistent adaption of
change and the use of tools for presenting
information.
O Empirical analysis of requirement evolution
provides practical experience measures on
drivers of evolution
O no huge advances in this regard.
26. Research in Requirement
Engineering
O The gap between research and practice in
requirements engineering is huge.
O Empirical evidence about requirements
engineering practice is needed.
O Solution-based RE that usually includes
proofs and evidences to the applicability of
these solutions.
O Evaluation-based research that intends to
evaluate current practices and advances is
less common to be the subject of RE
researches.
27. Research Methods
O A large number of methods and
methodologies exists:
O Scientific method:
O Observing the world, propose a model or
theory, analyze and validate the model.
O Acquires knowledge about the world by
either provide assumptions based on
ontology and epistemology.
O Used when we try to understand software
process, product, people and the
environment.
28. Research Methods Cont.
O A large number of methods and
methodologies exists:
O Engineering method:
O Observing existing solutions, study them and
propose new better solutions that are
analyzed, modified and tested enough until no
further modification can be done on them.
O Used when the practice and implementation of
technologies introduce a number of research
problems that these methods try to simplify and
make it easily adapted by practitioners.
O Heuristics, patterns, visual formalisms.
29. Research Methods Cont.
O A large number of methods and
methodologies exists:
O Empirical methods:
O Aims to understand, explore and describe
natural, social or cognitive phenomena by
using evidence from observation or experience.
O Evolutionary in nature, new models are
proposed not necessarily based on existing
one.
O Suitable data collection techniques should be
used, Qualitative and quantitative measures
are used when collecting data needed for the
research.
O Empirical research requires proof its validity
and hence can be measurable and
interpretable.
30. Research Methods Cont.
O A large number of methods and methodologies
exists:
O Paradigm shift:
O Solutions that impose a radical change in new or
existing problem in technology.
O Evolutionary and rare and usually carried out when
existing technologies cannot make progress any more.
O Push PS: driven by the introduction of new technology
into community in which they have a great impact on
resolving problems. Ex. Global requirement
engineering.
O Pull PS: huge need for solution to a problem when
existing solution cannot resolve or even improve such
problems. Ex. Object oriented.
31. Research Methods Cont.
O A large number of methods and methodologies exists:
O Generalization:
O Successful organization and domain research methods
are generalized to be widely used and applied to different
areas of concern.
O Telecommunication notations using UML tools 2.0
O Evolutionary:
O Continuous improvements of existing technology.
O Existing requirements techniques, notations, approaches
will continue to improve and also can be supported be
new tools, patterns and methodologies.
O Basis for the paradigm shift methodology.
32. Empirical Research in RE
O Evaluation-based research in RE is
concerned with assessing the state of the
art in requirement engineering and
evaluate the practices developed in this
regard.
O Solution-based research that is concerned
with the technological advances in solving
requirement engineering problem.
33. Empirical Research in RE
Cont.
O “Evidence-Based Structuring and Evaluation of
Empirical Research in Requirements Engineering”
by Goeken and Patas
O Our knowledge of the appropriateness and desirability
of requirement engineering techniques are rare.
O Existing work is not unified, a lot of approaches and
techniques that have been developed based on
different principles and practices targeting the various
phases of requirement engineering and specific tasks
within them.
O This lack of empirical research leads to confusion as to
whether their results contribute to the solution of a
problem and whether it is suitable for practical use.
34. Empirical Research in RE
Cont.
O “Evidence-Based Structuring and Evaluation of
Empirical Research in Requirements
Engineering”
O Framework consisting of a set of
components, these components reflects whether
RE techniques evolved as a result of being
published in a book, evolved from standard
projects or being established as standards when
used for certification.
O “Technique, Result, Role, Activity, Purpose, Notati
on, Principle, Tool and Context”.
35. Empirical Research in RE
Cont.
O “Evidence-Based Structuring and Evaluation of Empirical
Research in Requirements Engineering”
O Techniques and activities have been studied the most since
that most.
O Notations have been studied less.
O Roles that are involved in assigning responsibilities are
rarely studied.
O Context and principles also needs more attention since they
are less considered in researches.
O Results as the research shows has a tight relation to both
techniques and activities since results are always evaluated
in experiments.
O Tools are frequently highlighted in research for their
important usage in activities and results.
36. Empirical Research in RE
Cont.
O Only about 10-15 % of the research work in
requirement engineering is an evaluation
based research that developed as a form of
practices and state of the art reports.
O These empirical researches help in highlighting
areas that need more attention and focus in
requirement engineering research.
O Help in the selection of the best solution based
techniques for various requirement engineering
problems.
37. Requirement Engineering
Emerging trends
O Globalization.
O Scale.
O Dynamic.
O Security.
O Requirement Reuse.
O COTS.
38. Globalization
O Team members located in separate geographical
workspace.
O Different culture and skills.
O The need to develop new roles and organizational
Models.
O The distributed requirements needs:
O Efforts to be gathered and managed.
O Communicating these requirements among various
distributed parties.
O Downstream activities such as design, implementation
and testing requires new RE methodologies to support
them.
39. Globalization Cont.
O Main challenges:
O Analysts and development teams are located in different
locations and geographical areas, requirements should
be communicated in an efficient way.
O Tools needed for eliciting, supporting and modeling
distributed requirements, managing and communicating
them, negotiating and quality should be developed.
O Conflicts can arise due to distance and poor collaboration
among various team members.
O Engineers may involve informally in change and
communicating this change across multiple sites may be
absent.
O New roles need to be created, assigning responsibilities
to right people could be of a great challenge.
40. Scale
O Large scale systems characterized by:
O Number of line of codes.
O Number of people employing the system
for different purposes.
O Amount of data
stored, accessed, manipulated, and
refined.
O Number of connections and
interdependencies among software
components.
41. Scale Cont.
O Major challenges:
O Scalability of huge number of requirements is not
supported by current tools, techniques and models
since they are difficult to be applied and do not support
the complexity, variability and uncertainty of
requirements.
O Existing requirement methodologies for requirement
specifications are costly and unlikely to be adapted to
large scale requirements.
O Large scale systems increases the reliance on the
environment, people, hardware and software are tightly
coupled that led to the emergent of new integrated
systems and techniques.
O Research regarding RE in large scale systems is not
satisfying, practical advices and guidelines are needed.
O Continuous requirement engineering and process
improvement, training and documentation, cultural
change is needed.
42. Dynamic
O RE is concerned with static elicitation, representation, and
analysis of requirements.
O Advances in technologies and systems that are highly
adaptive and dynamic with high rate of change.
O Four levels of requirement engineering needed to support
adaptive systems:
O Level one, (human) and related to activities associated
with elicitation and analysis of requirements.
O Level two, (system) when it is running and its ability to
adapt according to various inputs and behaviors.
O Level three, (human) and related to determining the
adaption elements of the adaptive system.
O Level four, (human) and associated with the general
understanding of adaptive systems and events.
43. Goal-based approaches
O Goal-based variability acquisition and analysis
was the center for several studies, identified a
set of types for roles associated with verb that
are used to identify the potential variability
related to stakeholders goals.
O Goal modeling:
O Models were developed to target various
requirement phases.
O New modeling techniques have been
developed to model separate goal-graphs.
O Several works has been carried out to relate
the goal-based models to the development of
dynamic adaptive systems
44. Aspect-oriented requirement
engineering
O Systematic means for
identification, modularization, representation, an
d composition of crosscutting concerns.
O Many researches have been carried out in
concern with requirement engineering for
Aspect-oriented development
O A set of models and use cases were developed
such as AOV-graphs and aspect-oriented uses
cases.
45. Requirement engineering for
agile methods
O Delivering fast products with high quality and
with a great involvement of stakeholders.
O Continuous involvement of stakeholders
requires a great attention for
eliciting, managing and communicating
requirements.
O Many existing and new tool ranging from UML
modeling tools, requirement negotiating
tools, instant messaging tools and project
management tools were developed to support
agile development practices.
46. Scenario-based requirement
engineering
O Scenarios and use cases are the most useful
tools used in requirement elicitation, validation
and documentation activities.
O Bridging the gap in requirement resulting from
model and goal oriented design.
O No agreed formal definition has been introduced.
O Scenario-based components should be looked at
as reusable components with consideration of
the context and domain in which it will be
deployed in.
47. Service-oriented requirement
engineering
O Understand and identify how requirements
of services can be developed.
O Little attention was given to related
requirement engineering activities.
O Researchers outlines that requirements
are affected by both service providers and
customers.
O Requirement engineering must be
capable to comply with all issues related
to changes applied to services.
48. Security
O Identifying potential security threats and
vulnerabilities, documenting them and suggest
countermeasures to protect against them and
recovery strategies.
O Security requirements change and evolve
overtime.
O The degree in which requirements involved in
determining and specifying security approaches
are not agreed upon also no general notion for
requirement security is determined yet.
O A number of tools and models were developed:
O Threat modeling, anti-models and trust
assumptions.
49. Requirement Reuse
O The reuse of existing and past requirements artifacts
for future usage is a common trend nowadays.
O Requirements should be developed in the most
abstract form.
O Most of the research in the area of reuse
requirements engineering was in the product lining
where group of products are treated as one
component and requirements can be derived from all
products for an individual product.
O For an artifact to be reused it should have a standard
pattern such as context, domain, problem, properties
and consequences.
50. COTS
O Software available in the market that can be reused
and integrated throughout the system.
O Not necessarily can accommodate all the needs of a
single customer.
O Huge modifications and changes made on them over
the time.
O No need to start with requirement gathering and then
selecting the appropriate COTS
O Requirements should be abstract to determine
market.
O Differences between these components will be
identified to choose the best product.
O More research should be taken in this regard for the
challenges that analyst faces when COTS are
selected and integrated in the system.
51. Conclusion
O Many of the research work and practical activities
evolved over time and some of them remain the
same due to changes and paradigm shifts in
technology and practice in software engineering
in general.
O Future Work:
O Centralized repository or index for RE research
work.
O The gap between researchers and practitioners
should be minimized.
O Knowledge Sharing through standardized channels
and repositories will be beneficiary.
52. Conclusion Cont.
O Future Work:
O More attention to evaluation-based and
empirical research.
O Requirement engineering activities and
methodologies should evolve too to comply
with these technological advances.
Editor's Notes
-Requirement Engineering is the process of identifying the goal behind a software system by identifying different stakeholders of the system, evaluate their needs with regard to the context to which the system will operate in, state the system services and constraints and finally communicate the resulted findings in form of requirements throughout the development life cycle of the software system.-Many organizations and practitioners realizes the importance of requirements engineering to the success or failure of software projects, and hence many researches have been carried out in this regard in order to shed the light on the significant role RE
If we developed our project based on incomplete, vague and even worse wrong requirements, then our project is 100% guaranteed to either fail, go over budget, and delivered late.
discovery of requirements that resides in the brain of stakeholders, business in use, flowcharts and business documents to be made after conducting surveys and meetings. This requires a thorough understanding of the system to be developed combined with careful extracting of requirements and business rules and constraints. Usually, in this stage the model to be used in later processes is developed.identify various sources of requirements and make sure that anyone affected by the system is involved in the elicitation process. understanding of the existing system in use, if exists, can be obtained using these techniquesrespect to a specific context or environment and even for a specific user. Also, integration with other environments and systems should be analyzed and integration requirements should be extracted.
requirements that help making the system more acceptable and attractive to stakeholdersto get users and stakeholders opinion regarding the system developed.
business process modeling, use case modeling, class or data modeling
In order for requirement analysis be able to reflect what the stakeholder want and not end up with unwanted or un desired systemLast: and therefore are able to identify these defects before they propagate throughout later stages.
State-oriented modeling, where the system is modeled around a set of states and transition between these states based on certain criteria. Activity-oriented modeling, where the system is modeled around a set of activities related by data or dependency relation. Heterogonous modeling employs various modeling techniques in one system representation. multiple view modeling uses a different set of models to represent different characteristics of the system. UML is an example of multiple view modeling.Structure modeling, where this model is concerned with the physical structure of the system and the characteristics of its components.
Mapping stakeholder requirements into design models usually needs several decisions that are not easily done by a tool or a method.
defects of un structured communication where requirement defects are delayed to later phases.
for managing large volume of requirements from various phases and different location are very important
as graphical animation that is used to validate the design model against the informal requirements simulation in which the modeling language is based on semantics for the simulator to be able to execute the system model Model checking in which state models are checked automatically and model satisfiabilty in which complex models for a system are defined within some other formal system, typically set theory
The aim of these methodologies is to understand current technologies in order to better benefit from them, evaluate and enhance these technologies to anticipate new changes and problems and the introduction of new methodologies that either better utilizes existing approaches or add new knowledge to the state of the art.
acquires knowledge about the world by either provide assumptions based on ontology (what we believe exists) and epistemology (how beliefs are acquired and how we justify them)
Paradigm shift innovations need time before being adapted since a level of maturity should be reached before being widely spread and used.
Techniques and activities have been studied the most since that most Requirement engineering approaches are process or product driven.Notations have been studied less although the important role they play in requirement elicitation, documentation and validation of the system.Principles like agility and iterative approaches are less being studied in researches.
Techniques and activities have been studied the most since that most Requirement engineering approaches are process or product driven.Notations have been studied less although the important role they play in requirement elicitation, documentation and validation of the system.Principles like agility and iterative approaches are less being studied in researches.
The rapid revolution of technology nowadays and its impact on the software industry is very tremendous. The need to adapt and live with these advances requires the software industry to evolve to meet these emerging needs. Existing trends may change or enhanced, new trends may develop and in a way or another will affect the software engineering process and hence have a direct and great impact on requirement engineering.
Globalization has quickly become a significant practice among various industries, the technological revolution in telecommunication and infrastructure make it easier for these industries to expand their work worldwide. Different needs of stakeholders had a great affect toward globalization of software developmentdecision of outsourcing specific tasks or in-house is crucial to the success of these projects.
Different cultures, timing and language should be taken into consideration. Poor defined requirements have a great impact on the final system as it will not match what stakeholders want and the cost of re-work will increase.
Many challenges are facing requirement engineering due to the large number of people and distributed teams, assigned roles and responsibilities and communication with stakeholders.
Many challenges are facing requirement engineering due to the large number of people and distributed teams, assigned roles and responsibilities and communication with stakeholders.
One of the remarkable works on this field was carried by Daniel berry, Betty Cheng and Ji Zhang Level three, (human) and related to the previous level by determining the adaption elements of the adaptive system.
Goal-based requirement engineering is not a new trend, in which basic goal based requirement engineering classified both functional and non-functional requirements into hard and soft goals respectivelyAdvances in this approach were concerned with various phases in the requirement process. These models can also uncover hidden requirements when they are integrated
New emerging trends in software engineering accommodated these advances and requirement engineering architecture design and design are affected with the topic of aspect-oriented developmentMany researches have been carried out in concern with requirement engineering for Aspect-oriented development
Requirements are continuously changed and evolve; it is important to be assured that no requirements are wastedThe need for prioritizing requirements so that the most valuable features are delivered first is very crucial
A scenario is a series of interactions between the user and the system whereas use cases are an abstraction that describes these scenariosScenario-based requirement engineering can be defined as an approach that represents requirements based on a real world example or storyNatural language, pictures, use cases, behavior and sequence diagrams
collection of services that communicate with each other delivering service or value to subscribers over the internet. On one hand, providers will try to design services that can suit multiple customers but their effort to standardize services will not suit all customers. On the other hand, customers are looking for services that accommodate their needs and based on service providers, they will have to change their processes to suit these services
increased reliance on technology and software in our everyday tasks and the increased deployment of technology in processing and storing customers’ data. Security threats and attacks are increasing and changing, the need to secure our systems is of a crucial importance.
Huge modifications and changes made on them over the time that are not in the hand of the customer and therefore the need by analyst to understand these components and changes made on them in order to determine the degree to which this component will still satisfy the needs of the client No need to start with requirement gathering and then selecting the appropriate COTS to meet these requirement since no product will satisfy all the needsrequirements should be abstract and capable of determining which market to search for the COTS without specifying internal details and quality measurements. Once a market is identified, differences between these components will be identified and used to choose the best product that will satisfy customer needs. More research should be taken in this regard for the challenges that analyst faces when COTS are selected and integrated in the system.
In this paper, we made an overview on requirement engineering evolution over the past ten years. Based on a roadmap by Nuseibeh and Easterbrook, we evaluate requirement engineering challenges, research directions and evolving trends. Requirement engineering field is very huge, the need to have some sort of centralized repository or index to the work in this field can help researchers utilize research time in evaluating work and find solutions.The gap between researchers and practitioners should be minimized. The need for collaborative efforts between them will help researchers obtain a better understanding of problems and challenges. Real data and cases provided by customers can help researchers in clarifying various data impacts on problems to be solved.A lot of solutions and models have been developed addressing specific context and scenarios, the need to share this knowledge through standardized channels and repositories will be beneficiary.
More attention should be given to evaluation-based and empirical research as evident throughout the paper. Technological advances and new trends are leading the change now. Requirement engineering activities and methodologies should evolve too to comply with these changes.In conclusion, requirement engineering is a huge field in which changes and advances affecting it are significant and make it susceptible to change all the time. We tried to sum up most of these changes in this paper but still a lot of work need to be done in this regard. The research opportunities in this field are divers and huge and more work can be done since the reliance on technology and software will remain for a quite long time.