Case tools(computer Aided software Engineering)
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CASE stands for Computer Aided Software Engineering and refers to the development and maintenance of software projects using various software tools to increase speed and handle changing market demands. There are classic CASE tools like debuggers and compilers as well as real CASE tools that support multiple phases of development from analysis and design to coding. Real CASE tools include diagramming, process modeling, project management, documentation, analysis, design, configuration management, change control, programming, prototyping, web development, quality assurance, and maintenance tools.
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Computer aided software engineering
This document discusses computer aided software engineering (CASE) tools. It defines CASE tools as software tools that help with the development and maintenance of other software. The document then describes the need for CASE tools to speed up development, lists categories of tools including diagram, project management, documentation and quality assurance tools, and discusses how organizations use CASE tools and the advantages they provide like improved quality, productivity and documentation.
Case tools
Its an overview of Case tools used in Software Development. UML star is a Case Tool is described here.
Case tools
CASE tool and its usage in mechanized software development.
Various type of case tools, application of case tools,
Case tool introduction
CASE: (Computer Aided Software Engineering) tools are very useful. We must have a proper knowledge about these tool and their usage.
I try my best to introduce CASE tools and further I explain components of CASE tool and the usage of CASE Tool in SDLC(System Development Life Cycle) Upper CASE Tool, Lower CASE, Integrated CASE tools in these slides and Complete Description about all types of CASE tool will be discussed in further slides by me INSHALLAH.
Regards...
Language and Processors for Requirements Specification
This document discusses several languages and processors that have been developed for requirements specification in software development. It describes Problem Statement Language (PSL) and its processor, the Problem Statement Analyzer (PSA), which were developed to allow concise statement and automated analysis of requirements. It also discusses the Requirements Statement Language (RSL) and Requirements Engineering Validation System (REVS). Finally, it provides a brief overview of Structured Analysis and Design Technique (SADT), including its data and activity diagram components.
Software Quality Metrics
What is Quality ||
Software Quality Metrics ||
Types of Software Quality Metrics ||
Three groups of Software Quality Metrics ||
Customer Satisfaction Metrics ||
Tools used for Quality Metrics/Measurements ||
PERT and CPM ||
Estimating Software Maintenance Costs
Software maintenance typically requires 40-60% of the total lifecycle effort for a software product, with some cases requiring as much as 90%. A widely used rule of thumb is that maintenance activities are distributed as 60% for enhancements, 20% for adaptations, and 20% for corrections. Studies show the typical level of effort devoted to software maintenance is around 50% of the total lifecycle effort. Boehm suggests measuring maintenance effort using an activity ratio that considers the number of instructions added or modified over the total instructions. The effort required can then be estimated using programmer months based on the activity ratio and an effort adjustment factor. Emphasis on reliability during development can reduce future maintenance effort.
Planning the development process
The document discusses several software development life cycle models:
- The phased model segments development into phases like analysis, design, implementation, testing and maintenance.
- The cost model views the life cycle in terms of costs incurred in each phase and modifying previous work.
- Prototyping involves building initial versions to explore technical issues and illustrate requirements for the customer.
- Successive versions refines an initial product skeleton through multiple iterations.
Planning the development process involves choosing a life cycle model and defining documents, milestones and reviews. This provides structure and visibility needed for control and quality.
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Computer aided software engineering
This document discusses computer aided software engineering (CASE) tools. It defines CASE tools as software tools that help with the development and maintenance of other software. The document then describes the need for CASE tools to speed up development, lists categories of tools including diagram, project management, documentation and quality assurance tools, and discusses how organizations use CASE tools and the advantages they provide like improved quality, productivity and documentation.
Case tools
Its an overview of Case tools used in Software Development. UML star is a Case Tool is described here.
Case tools
CASE tool and its usage in mechanized software development.
Various type of case tools, application of case tools,
Case tool introduction
CASE: (Computer Aided Software Engineering) tools are very useful. We must have a proper knowledge about these tool and their usage.
I try my best to introduce CASE tools and further I explain components of CASE tool and the usage of CASE Tool in SDLC(System Development Life Cycle) Upper CASE Tool, Lower CASE, Integrated CASE tools in these slides and Complete Description about all types of CASE tool will be discussed in further slides by me INSHALLAH.
Regards...
Language and Processors for Requirements Specification
This document discusses several languages and processors that have been developed for requirements specification in software development. It describes Problem Statement Language (PSL) and its processor, the Problem Statement Analyzer (PSA), which were developed to allow concise statement and automated analysis of requirements. It also discusses the Requirements Statement Language (RSL) and Requirements Engineering Validation System (REVS). Finally, it provides a brief overview of Structured Analysis and Design Technique (SADT), including its data and activity diagram components.
Software Quality Metrics
What is Quality ||
Software Quality Metrics ||
Types of Software Quality Metrics ||
Three groups of Software Quality Metrics ||
Customer Satisfaction Metrics ||
Tools used for Quality Metrics/Measurements ||
PERT and CPM ||
Estimating Software Maintenance Costs
Software maintenance typically requires 40-60% of the total lifecycle effort for a software product, with some cases requiring as much as 90%. A widely used rule of thumb is that maintenance activities are distributed as 60% for enhancements, 20% for adaptations, and 20% for corrections. Studies show the typical level of effort devoted to software maintenance is around 50% of the total lifecycle effort. Boehm suggests measuring maintenance effort using an activity ratio that considers the number of instructions added or modified over the total instructions. The effort required can then be estimated using programmer months based on the activity ratio and an effort adjustment factor. Emphasis on reliability during development can reduce future maintenance effort.
Planning the development process
The document discusses several software development life cycle models:
- The phased model segments development into phases like analysis, design, implementation, testing and maintenance.
- The cost model views the life cycle in terms of costs incurred in each phase and modifying previous work.
- Prototyping involves building initial versions to explore technical issues and illustrate requirements for the customer.
- Successive versions refines an initial product skeleton through multiple iterations.
Planning the development process involves choosing a life cycle model and defining documents, milestones and reviews. This provides structure and visibility needed for control and quality.
Software Process Models
This document discusses different process models used in software development. It describes the key phases and characteristics of several common process models including waterfall, prototyping, V-model, incremental, iterative, spiral and agile development models. The waterfall model involves sequential phases from requirements to maintenance without iteration. Prototyping allows for user feedback earlier. The V-model adds verification and validation phases. Incremental and iterative models divide the work into smaller chunks to allow for iteration and user feedback throughout development.
Software cost estimation techniques presentation
This document discusses several techniques for estimating software costs: expert judgement, pricing to win, estimation by analogy, bottom-up, top-down, and algorithmic cost modeling. Expert judgement involves consulting experts and iterating until agreement. Pricing to win bases the estimate only on the customer's budget. Estimation by analogy compares a new project to similar past projects. Bottom-up and top-down respectively estimate from components or overall functionality. Algorithmic cost modeling uses mathematical equations based on historical data.
Chapter 1 2 - some size factors
The document discusses factors related to software project size and effort. It provides the following key points:
1) Software development and maintenance can account for a significant portion of economic activity, with estimates that it will account for 12.5% of the US GDP by 1990.
2) Most effort is spent on maintenance rather than development, with estimates that maintenance accounts for 60-90% of total effort.
3) Software project size is categorized based on factors like number of programmers, duration, lines of code, and interactions/complexity. These range from trivial single-programmer projects to extremely large projects involving thousands of programmers over 5-10 years.
4) A 1964 study found that programmers only spent
Software Cost Estimation Techniques
This document discusses several software cost estimation techniques:
1. Top-down and bottom-up approaches - Top-down estimates system-level costs while bottom-up estimates costs of each module and combines them.
2. Expert judgment - Widely used technique where experts estimate costs based on past similar projects. It utilizes experience but can be biased.
3. Delphi estimation - Estimators anonymously provide estimates in rounds to reach consensus without group dynamics influencing individuals.
4. Work breakdown structure - Hierarchical breakdown of either the product components or work activities to aid bottom-up estimation.
Software Metrics
The document discusses different types of software metrics that can be used to measure various aspects of software development. Process metrics measure attributes of the development process, while product metrics measure attributes of the software product. Project metrics are used to monitor and control software projects. Metrics need to be normalized to allow for comparison between different projects or teams. This can be done using size-oriented metrics that relate measures to the size of the software, or function-oriented metrics that relate measures to the functionality delivered.
Software Engineering
This document discusses various techniques for estimating software costs:
1. Expert judgment relies on experienced people's assessments but can be unreliable due to biases. The Delphi technique improves expert judgment by anonymously aggregating estimates over multiple rounds.
2. Work breakdown structures break projects down into components to estimate costs bottom-up. The COCOMO model also estimates bottom-up using algorithmic formulas adjusted by multipliers for attributes.
3. COCOMO is demonstrated through an example estimating effort of 191 person-months and a 13 month schedule for a 30,000 line embedded software project with high reliability requirements.
Software requirements
The document discusses software requirements and requirements engineering. It introduces concepts like user requirements, system requirements, functional requirements, and non-functional requirements. It explains how requirements can be organized in a requirements document and the different types of stakeholders who read requirements. The document also discusses challenges in writing requirements precisely and provides examples of requirements specification for a library system called LIBSYS.
Fundamental design concepts
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SRS(software requirement specification)
The document defines an SRS as the official statement of what system developers should implement, providing a complete description of the system behavior. An SRS precisely defines the software product and is used to understand requirements to design the software. It includes the purpose, product scope, features, interfaces, and other functional and non-functional requirements. The SRS benefits include establishing agreement between customers and suppliers, reducing development effort, and providing a baseline for validation.
Software Configuration Management (SCM)
This document provides an overview of software configuration management (SCM). It defines SCM as a way to manage evolving software by controlling changes to configuration items. The key activities of SCM include identifying configuration items, establishing baselines, controlling changes through a change management process, and auditing changes. Roles in SCM include developers who implement changes and a configuration management team that manages the SCM process.
Software Quality Attributes
The quality of software systems may be expressed as a collection of Software Quality Attributes. When the system requirements are defined, it is essential also to define what is expected regarding these quality attributes, since these expectations will guide the planning of the system architecture and design.
Software quality attributes may be classified into two main categories: static and dynamic. Static quality attributes are the ones that reflect the system’s structure and organization. Examples of static attributes are coupling, cohesion, complexity, maintainability and extensibility. Dynamic attributes are the ones that reflect the behavior of the system during its execution. Examples of dynamic attributes are memory usage, latency, throughput, scalability, robustness and fault-tolerance.
Following the definitions of expectations regarding the quality attributes, it is essential to devise ways to measure them and verify that the implemented system satisfies the requirements. Some static attributes may be measured through static code analysis tools, while others require effective design and code reviews. The measuring and verification of dynamic attributes requires the usage of special non-functional testing tools such as profilers and simulators.
In this talk I will discuss the main Software Quality attributes, both static and dynamic, examples of requirements, and practical guidelines on how to measure and verify these attributes.
Software Configuration Management
The document discusses configuration management for software engineering projects. It covers topics such as configuration management planning, change management, version and release management, and the use of CASE tools to support configuration management. Configuration management aims to manage changes to software products and control system evolution through activities like change control, version control, and configuration auditing.
Software configuration management
Software configuration management (SCM) involves managing changes to software throughout its lifecycle. SCM activities are needed because software often needs to change for reasons like new requirements, bugs, or scheduling issues. SCM defines processes and tools to make changes in a controlled manner. It involves roles like configuration managers, programmers, and users. SCM uses concepts like baselines, which are approved versions of software that further development is based on, and software configuration items (SCIs) which are components of a software system that are managed and tracked by the SCM system.
Software Development Life Cycle-SDLC
The document discusses the software development life cycle (SDLC) process. It includes 6 main steps: 1) requirement gathering, 2) software analysis, 3) software design, 4) coding, 5) testing, and 6) implementation. For each step, the document provides details on the objectives and activities involved. It also lists advantages of following the SDLC process such as increased quality, improved tracking, and decreased risks. Finally, it provides a coding example for a basic calculator application to illustrate one step of the process.
Use Case Diagram
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.
Software Configuration Management (SCM)
SCM, is an umbrella activity that is applied throughout the software process, control of the evolution of complex systems.
Rad model
Rapid Application Development (RAD) is an agile software development methodology that focuses on rapid prototyping through workshops and iterative testing with customers. It involves business modeling to identify information flows, data modeling to define necessary data objects, and process modeling to convert data objects into business processes. Automated tools are then used to generate code from the models. The RAD model aims to reduce development time through reusability, early customer feedback, and short iteration cycles enabled by powerful modeling and code generation tools. However, it relies on strong individual performances, is only suitable for modularized systems, and requires high modeling and development skills.
Software Engineering Layered Technology Software Process Framework
Software engineering is the application of engineering principles to software development to obtain economical and quality software. It is a layered technology with a focus on quality. The foundation is the software process, which provides a framework of activities. This includes common activities like communication, modeling, planning, construction, and deployment. Additional umbrella activities support the process, such as quality assurance, configuration management, and risk management.
Software engineering lecture notes
The document discusses different software engineering process models including:
1. The waterfall model which is a linear sequential model where each phase must be completed before moving to the next.
2. Prototyping models which allow requirements to be refined through building prototypes.
3. RAD (Rapid Application Development) which emphasizes short development cycles through reuse and code generation.
4. Incremental models which deliver functionality in increments with early increments focusing on high priority requirements.
5. The spiral model which has multiple iterations of planning, risk analysis, engineering and evaluation phases.
Software Process Models
The document discusses various software process models including prescriptive models like waterfall model and incremental process model. It also covers evolutionary models like prototyping and spiral process model. Specialized models covered are component based development, formal methods model, aspect oriented development and unified process model. The key highlights are that different models are suited for different situations based on project needs and each model has advantages and disadvantages to consider.
SWE-401 - 12. Software CASE Tools Overview
CASE (Computer Aided Software Engineering) tools automate various stages of the Software Development Life Cycle (SDLC) and are used by software engineers, project managers, and analysts. There are different types of CASE tools that can be used for activities like documentation, project management, analysis, design, programming, testing, and maintenance. CASE tools provide benefits like accelerated development, reduced errors, and improved collaboration through features like centralized repositories and version control.
12. Case Tools
CASE (Computer Aided Software Engineering) tools automate various stages of the Software Development Life Cycle (SDLC) and are used by software engineers, project managers, and analysts. There are different types of CASE tools that can be used for activities like documentation, project management, analysis, design, programming, testing, and maintenance. CASE tools provide benefits like accelerated development, reduced errors, and improved collaboration through features like centralized repositories and version control.
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This document discusses several techniques for estimating software costs: expert judgement, pricing to win, estimation by analogy, bottom-up, top-down, and algorithmic cost modeling. Expert judgement involves consulting experts and iterating until agreement. Pricing to win bases the estimate only on the customer's budget. Estimation by analogy compares a new project to similar past projects. Bottom-up and top-down respectively estimate from components or overall functionality. Algorithmic cost modeling uses mathematical equations based on historical data.
Chapter 1 2 - some size factors
The document discusses factors related to software project size and effort. It provides the following key points:
1) Software development and maintenance can account for a significant portion of economic activity, with estimates that it will account for 12.5% of the US GDP by 1990.
2) Most effort is spent on maintenance rather than development, with estimates that maintenance accounts for 60-90% of total effort.
3) Software project size is categorized based on factors like number of programmers, duration, lines of code, and interactions/complexity. These range from trivial single-programmer projects to extremely large projects involving thousands of programmers over 5-10 years.
4) A 1964 study found that programmers only spent
Software Cost Estimation Techniques
This document discusses several software cost estimation techniques:
1. Top-down and bottom-up approaches - Top-down estimates system-level costs while bottom-up estimates costs of each module and combines them.
2. Expert judgment - Widely used technique where experts estimate costs based on past similar projects. It utilizes experience but can be biased.
3. Delphi estimation - Estimators anonymously provide estimates in rounds to reach consensus without group dynamics influencing individuals.
4. Work breakdown structure - Hierarchical breakdown of either the product components or work activities to aid bottom-up estimation.
Software Metrics
The document discusses different types of software metrics that can be used to measure various aspects of software development. Process metrics measure attributes of the development process, while product metrics measure attributes of the software product. Project metrics are used to monitor and control software projects. Metrics need to be normalized to allow for comparison between different projects or teams. This can be done using size-oriented metrics that relate measures to the size of the software, or function-oriented metrics that relate measures to the functionality delivered.
Software Engineering
This document discusses various techniques for estimating software costs:
1. Expert judgment relies on experienced people's assessments but can be unreliable due to biases. The Delphi technique improves expert judgment by anonymously aggregating estimates over multiple rounds.
2. Work breakdown structures break projects down into components to estimate costs bottom-up. The COCOMO model also estimates bottom-up using algorithmic formulas adjusted by multipliers for attributes.
3. COCOMO is demonstrated through an example estimating effort of 191 person-months and a 13 month schedule for a 30,000 line embedded software project with high reliability requirements.
Software requirements
The document discusses software requirements and requirements engineering. It introduces concepts like user requirements, system requirements, functional requirements, and non-functional requirements. It explains how requirements can be organized in a requirements document and the different types of stakeholders who read requirements. The document also discusses challenges in writing requirements precisely and provides examples of requirements specification for a library system called LIBSYS.
Fundamental design concepts
fundamental design concept,structure,abstraction,verification,concurrency,module and modularization,coupling,cohesion
SRS(software requirement specification)
The document defines an SRS as the official statement of what system developers should implement, providing a complete description of the system behavior. An SRS precisely defines the software product and is used to understand requirements to design the software. It includes the purpose, product scope, features, interfaces, and other functional and non-functional requirements. The SRS benefits include establishing agreement between customers and suppliers, reducing development effort, and providing a baseline for validation.
Software Configuration Management (SCM)
This document provides an overview of software configuration management (SCM). It defines SCM as a way to manage evolving software by controlling changes to configuration items. The key activities of SCM include identifying configuration items, establishing baselines, controlling changes through a change management process, and auditing changes. Roles in SCM include developers who implement changes and a configuration management team that manages the SCM process.
Software Quality Attributes
The quality of software systems may be expressed as a collection of Software Quality Attributes. When the system requirements are defined, it is essential also to define what is expected regarding these quality attributes, since these expectations will guide the planning of the system architecture and design.
Software quality attributes may be classified into two main categories: static and dynamic. Static quality attributes are the ones that reflect the system’s structure and organization. Examples of static attributes are coupling, cohesion, complexity, maintainability and extensibility. Dynamic attributes are the ones that reflect the behavior of the system during its execution. Examples of dynamic attributes are memory usage, latency, throughput, scalability, robustness and fault-tolerance.
Following the definitions of expectations regarding the quality attributes, it is essential to devise ways to measure them and verify that the implemented system satisfies the requirements. Some static attributes may be measured through static code analysis tools, while others require effective design and code reviews. The measuring and verification of dynamic attributes requires the usage of special non-functional testing tools such as profilers and simulators.
In this talk I will discuss the main Software Quality attributes, both static and dynamic, examples of requirements, and practical guidelines on how to measure and verify these attributes.
Software Configuration Management
The document discusses configuration management for software engineering projects. It covers topics such as configuration management planning, change management, version and release management, and the use of CASE tools to support configuration management. Configuration management aims to manage changes to software products and control system evolution through activities like change control, version control, and configuration auditing.
Software configuration management
Software configuration management (SCM) involves managing changes to software throughout its lifecycle. SCM activities are needed because software often needs to change for reasons like new requirements, bugs, or scheduling issues. SCM defines processes and tools to make changes in a controlled manner. It involves roles like configuration managers, programmers, and users. SCM uses concepts like baselines, which are approved versions of software that further development is based on, and software configuration items (SCIs) which are components of a software system that are managed and tracked by the SCM system.
Software Development Life Cycle-SDLC
The document discusses the software development life cycle (SDLC) process. It includes 6 main steps: 1) requirement gathering, 2) software analysis, 3) software design, 4) coding, 5) testing, and 6) implementation. For each step, the document provides details on the objectives and activities involved. It also lists advantages of following the SDLC process such as increased quality, improved tracking, and decreased risks. Finally, it provides a coding example for a basic calculator application to illustrate one step of the process.
Use Case Diagram
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.
Software Configuration Management (SCM)
SCM, is an umbrella activity that is applied throughout the software process, control of the evolution of complex systems.
Rad model
Rapid Application Development (RAD) is an agile software development methodology that focuses on rapid prototyping through workshops and iterative testing with customers. It involves business modeling to identify information flows, data modeling to define necessary data objects, and process modeling to convert data objects into business processes. Automated tools are then used to generate code from the models. The RAD model aims to reduce development time through reusability, early customer feedback, and short iteration cycles enabled by powerful modeling and code generation tools. However, it relies on strong individual performances, is only suitable for modularized systems, and requires high modeling and development skills.
Software Engineering Layered Technology Software Process Framework
Software engineering is the application of engineering principles to software development to obtain economical and quality software. It is a layered technology with a focus on quality. The foundation is the software process, which provides a framework of activities. This includes common activities like communication, modeling, planning, construction, and deployment. Additional umbrella activities support the process, such as quality assurance, configuration management, and risk management.
Software engineering lecture notes
The document discusses different software engineering process models including:
1. The waterfall model which is a linear sequential model where each phase must be completed before moving to the next.
2. Prototyping models which allow requirements to be refined through building prototypes.
3. RAD (Rapid Application Development) which emphasizes short development cycles through reuse and code generation.
4. Incremental models which deliver functionality in increments with early increments focusing on high priority requirements.
5. The spiral model which has multiple iterations of planning, risk analysis, engineering and evaluation phases.
Software Process Models
The document discusses various software process models including prescriptive models like waterfall model and incremental process model. It also covers evolutionary models like prototyping and spiral process model. Specialized models covered are component based development, formal methods model, aspect oriented development and unified process model. The key highlights are that different models are suited for different situations based on project needs and each model has advantages and disadvantages to consider.
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1.Using the Internet or other sources to find the definition of CASE.pdf
1.Using the Internet or other sources to find the definition of CASE tool related to software
engineering and to find one free CASE tool for data model that support ER model.
Solution
The development and maintenance of software projects is done with help of various automated
CASE(Computer Aided Software Engineering) tools or software application programs.
Features:
1) They are used to automate SDLC activities.
2) The development of project is accelerated to produce desired result and helps to fix flaws
before moving ahead to next stage in software development.
3) CASE tools are used by analysts,software project managers and engineers to develop
software system.
4) It redces time and cost of software development and enhances quality of the systems
developed.
Types:
CASE tools available across various stages of Software Development Life Cycle are :
a) Analysis tools
b) Design tools
c) Project management tools
d) Database Management tools
e) Documentation tools
f) Configuration Management tools
g) Quality Assurance tools
Free CASE tools for data model that support ER model : Toad Data Modeler, SQL Power
Architect, StarUML and Umbrello..
Chapter_01.ppt
Software encompasses computer programs, data structures, and documentation. It is developed through software engineering processes and methods rather than manufactured. While software doesn't physically deteriorate, it does deteriorate over time due to changes. Software engineering aims to develop software through systematic, disciplined, and quantifiable approaches to achieve reliable and efficient software economically.
Integrated Analysis of Traditional Requirements Engineering Process with Agil...
In the past few years, agile software development approach has emerged as a most attractive software development approach. A typical CASE environment consists of a number of CASE tools operating on a common hardware and software platform and note that there are a number of different classes of users of a CASE environment. In fact, some users such as software developers and managers wish to make use of CASE tools to support them in developing application systems and monitoring the progress of a project. This development approach has quickly caught the attention of a large number of software development firms. However, this approach particularly pays attention to development side of software development project while neglects critical aspects of requirements engineering process. In fact, there is no standard requirement engineering process in this approach and requirements engineering activities vary from situation to situation. As a result, there emerge a large number of problems which can lead the software development projects to failure. One of major drawbacks of agile approach is that it is suitable for small size projects with limited team size. Hence, it cannot be adopted for large size projects. We claim that this approach can be used for large size projects if traditional requirements engineering approach is combined with agile manifesto. In fact, the combination of traditional requirements engineering process and agile manifesto can also help resolve a large number of problems exist in agile development methodologies. As in software development the most important thing is to know the clear customer’s requirements and also through modeling (data modeling, functional modeling, behavior modeling). Using UML we are able to build efficient system starting from scratch towards the desired goal. Through UML we start from abstract model and develop the required system through going in details with different UML diagrams. Each UML diagram serves different goal towards implementing a whole project.
Lecture 1 SE.pptx
Introduction to software engineering information.
How the concept of the software engineering discover.
Nature of the software with categorization.
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Programming practice with the concept of software engineering.
Software Project management practice with the help software engineering.
Design and Patterns concepts also.
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This document discusses software project management artifacts. Artifacts are organized into management and engineering sets. The management set includes artifacts like the work breakdown structure, business case, and software development plan. The engineering set includes requirement, design, implementation, and deployment artifact sets. Each set captures information through various notations and tools to manage the software development lifecycle.
Software engineer
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Case tools(computer Aided software Engineering)
- 2. CASE stands for Computer Aided Software Engineering. It means, development and maintenance of software projects with help of various software tools.
- 3. CASE allows for rapid development of software because of the increasing speed of changing market-demands new products replace old ones much earlier than before, so the development of new products has to go faster.
- 4. Must distinguish between ‘classic’ case tools and ‘real’ case tools. Classic CASE tools: Interactive debuggers, compilers, project progress control systems Real Case tools: support several phases of development I. Upper CASE tools support analysis and design. II. Lower CASE tools refer to the location in these phases in the Waterfall Model. III. Integrated CASE tools support analysis, design, and coding.
- 6. Diagram tool These tools are used to represent system components, data and control flow among various software components and system structure in a graphical form. Process Modeling Tools Process modeling is method to create software process model, which is used to develop the software.
- 7. Project Management Tools These tools are used for project planning, cost and effort estimation, project scheduling and resource planning. Documentation Tools Documentation in a software project starts prior to the software process, goes throughout all phases of SDLC and after the completion of the project.
- 8. Analysis Tools Design Tools Configuration Management Tools Change Control Tools Programming Tools Prototyping Tools Web Development Tools Quality Assurance Tools Maintenance Tools
- 9. Very complex Not easily maintainable