This document contains a chapter-by-chapter summary of key concepts from a Software Engineering textbook. It includes definitions of terms like software engineering, the software development life cycle, software quality perspectives, and software project roles. It also summarizes various software development process models (e.g. waterfall, agile) and activities involved in planning and managing a software project (e.g. estimating effort, scheduling, risk management).
Software design is a process that transforms user requirements into a suitable form by creating specifications for a software artifact intended to accomplish goals using primitive components subject to constraints. It involves problem solving and planning a software solution, including both low-level component and algorithm design as well as high-level architecture design, to help with coding and implementation. Software design yields three levels of results - architectural, high-level, and detailed design.
The document discusses various topics related to software engineering including:
1) The fundamental activities in the software development process like planning, analysis, design, implementation, testing and maintenance.
2) The different phases of the Rational Unified Process including inception, elaboration, construction and transition.
3) The drawbacks of the spiral model including high costs, expertise required for risk analysis, and poor fit for smaller projects.
Software Engineering with Objects (M363) Final Revision By Kuwait10Kuwait10
This document provides an overview of software engineering concepts covered in various course units. It begins with introductions to approaches to software development, requirements concepts, and modeling. Key topics covered include the software development life cycle, requirements elicitation and analysis techniques, types of requirements (functional and non-functional), modeling languages like UML, and risks and traceability in software projects. The document also lists contents for each of the 14 course units.
This document provides an introduction to the Eclipse Process Framework Composer tool. It discusses how the tool can be used to manage libraries of reusable method content and assemble customized processes for projects. The tool addresses the needs of aligning flexible development processes with business processes and supporting modern agile development practices. It separates reusable method content from its application in processes to provide a knowledge base and process engineering capabilities.
The document discusses software design and key concepts related to software design including:
1) Software design is the process of planning the architecture, components, interfaces, and other characteristics of a software system.
2) Good software design aims for high cohesion and loose coupling between modules. It involves conceptual design, technical design, and refinement of the design.
3) Modularity, coupling, and cohesion are important design principles. Modularity enhances manageability while loose coupling and high cohesion are design goals.
Extreme Programming (XP) is an agile software development methodology that advocates short development cycles, frequent code integration and testing, pair programming, and close customer collaboration. It aims to improve productivity and responsiveness to changing requirements. Key practices include test-driven development, where automated unit tests are written before code; pair programming; frequent communication between programmers and customers; and continuous integration of code changes. XP originated from Kent Beck's work on the Chrysler payroll project in the 1990s and emphasizes adapting practices like testing and code reviews "to the extreme."
This project report describes a Software Project Management Tool. The tool aims to help organizations efficiently manage multiple projects by tracking activities, schedules, resources and time spent. It allows clients to check project status. The Business Development Officer can add new projects and view/update details. Developers can fill timesheets tracking time spent. The HR manager provides resources to projects. The Project Manager plans tasks and assigns them to developers, and checks timesheets. The tool is intended to provide transparency into resource allocation and progress across all levels of a project.
A controlled experiment in assessing and estimating software maintenance tasks sadique_ghitm
The document describes a controlled experiment assessing software maintenance tasks. It found that productivity and effort distribution differed significantly among enhancive, corrective, and reductive maintenance types. A model using added, modified, and deleted source lines of code as factors (M2) best estimated participant effort, with deleted lines having a large impact. The study provides initial evidence that maintenance type and size of change metrics should be considered for maintenance effort estimation models.
Software design is a process that transforms user requirements into a suitable form by creating specifications for a software artifact intended to accomplish goals using primitive components subject to constraints. It involves problem solving and planning a software solution, including both low-level component and algorithm design as well as high-level architecture design, to help with coding and implementation. Software design yields three levels of results - architectural, high-level, and detailed design.
The document discusses various topics related to software engineering including:
1) The fundamental activities in the software development process like planning, analysis, design, implementation, testing and maintenance.
2) The different phases of the Rational Unified Process including inception, elaboration, construction and transition.
3) The drawbacks of the spiral model including high costs, expertise required for risk analysis, and poor fit for smaller projects.
Software Engineering with Objects (M363) Final Revision By Kuwait10Kuwait10
This document provides an overview of software engineering concepts covered in various course units. It begins with introductions to approaches to software development, requirements concepts, and modeling. Key topics covered include the software development life cycle, requirements elicitation and analysis techniques, types of requirements (functional and non-functional), modeling languages like UML, and risks and traceability in software projects. The document also lists contents for each of the 14 course units.
This document provides an introduction to the Eclipse Process Framework Composer tool. It discusses how the tool can be used to manage libraries of reusable method content and assemble customized processes for projects. The tool addresses the needs of aligning flexible development processes with business processes and supporting modern agile development practices. It separates reusable method content from its application in processes to provide a knowledge base and process engineering capabilities.
The document discusses software design and key concepts related to software design including:
1) Software design is the process of planning the architecture, components, interfaces, and other characteristics of a software system.
2) Good software design aims for high cohesion and loose coupling between modules. It involves conceptual design, technical design, and refinement of the design.
3) Modularity, coupling, and cohesion are important design principles. Modularity enhances manageability while loose coupling and high cohesion are design goals.
Extreme Programming (XP) is an agile software development methodology that advocates short development cycles, frequent code integration and testing, pair programming, and close customer collaboration. It aims to improve productivity and responsiveness to changing requirements. Key practices include test-driven development, where automated unit tests are written before code; pair programming; frequent communication between programmers and customers; and continuous integration of code changes. XP originated from Kent Beck's work on the Chrysler payroll project in the 1990s and emphasizes adapting practices like testing and code reviews "to the extreme."
This project report describes a Software Project Management Tool. The tool aims to help organizations efficiently manage multiple projects by tracking activities, schedules, resources and time spent. It allows clients to check project status. The Business Development Officer can add new projects and view/update details. Developers can fill timesheets tracking time spent. The HR manager provides resources to projects. The Project Manager plans tasks and assigns them to developers, and checks timesheets. The tool is intended to provide transparency into resource allocation and progress across all levels of a project.
A controlled experiment in assessing and estimating software maintenance tasks sadique_ghitm
The document describes a controlled experiment assessing software maintenance tasks. It found that productivity and effort distribution differed significantly among enhancive, corrective, and reductive maintenance types. A model using added, modified, and deleted source lines of code as factors (M2) best estimated participant effort, with deleted lines having a large impact. The study provides initial evidence that maintenance type and size of change metrics should be considered for maintenance effort estimation models.
Gsd systematic task allocation evaluation in distributed software developmentShatakirti Er
This document presents a systematic approach for evaluating task allocation alternatives in distributed software development. It describes defining relevant viewpoints, contexts, factors and baselines. Variation factors like capabilities, dependencies and characteristics are identified and their impacts assessed. Possible task assignments are then evaluated based on the analysis. The approach is demonstrated through a scenario where a company evaluates assigning work between sites in Europe and India for a new project.
The document discusses software project planning and size estimation techniques. It describes estimating the size of a software project using lines of code counting, function point analysis, and examples. Function point analysis involves decomposing a system into functional units like inputs, outputs, files and inquiries. Each unit is assigned a complexity weight and counted. The weighted counts are summed to calculate unadjusted function points. Adjustments are then made based on complexity factors to determine the final function point count, which can be used to estimate effort, cost and schedule for a project. Three examples are provided to illustrate calculating function points for sample projects.
Analysis of Software Complexity Measures for Regression TestingIDES Editor
Software metrics is applied evaluating and assuring
software code quality, it requires a model to convert internal
quality attributes to code reliability. High degree of complexity
in a component (function, subroutine, object, class etc.) is bad
in comparison to a low degree of complexity in a component.
Various internal codes attribute which can be used to indirectly
assess code quality. In this paper, we analyze the software
complexity measures for regression testing which enables the
tester/developer to reduce software development cost and
improve testing efficacy and software code quality. This
analysis is based on a static analysis and different approaches
presented in the software engineering literature.
1. The document describes several traditional software development life cycle process models, including the waterfall model, prototyping model, RAD model, and evolutionary model.
2. It proposes a new software process model called the Software Architecture Development Life Cycle (SADLC) model that is based on the spiral process model and takes architecture-based development into account.
3. The SADLC model aims to organize software development activities and artifacts to be delivered to customers based on prescribed tasks, tools, and resource allocation over multiple iterations.
The document describes a seminar report submitted by Saloni Bhargava and Sonal Bohra for their Bachelor of Engineering degree in fulfillment of their industrial defined project titled "Edu-Junction", which is a web-based application for practicing entrance exams. It includes certificates from their internal and external guides confirming the work is satisfactory. It also acknowledges the support received and provides an abstract describing the purpose and features of the Edu-Junction system.
This document discusses analyzing open source code evolution using source code metrics. It describes developing a tool to gather metrics from C/C++, C#, and Java source codes. The tool is used to analyze selected open source projects, studying their release evolutions and comparing characteristics between releases and across projects. Different programming languages and development styles are examined.
1. The document discusses software testing and provides definitions, objectives, and types of testing. It defines testing as analyzing software to detect bugs and differences from requirements.
2. The primary objectives of testing are to design tests that systematically uncover errors with minimal time and effort. Exhaustive testing all possible inputs is not possible due to the large number of combinations.
3. White box testing uses the internal logic and structure of code to design test cases that execute all independent paths, loops, and internal data structures to ensure validity. It helps optimize code but does not ensure requirements are fulfilled and requires a skilled tester.
1. The document discusses key concepts in software design including transforming customer requirements into an implementable form, designing modules, control relationships, interfaces, data structures, and algorithms.
2. It also covers preliminary and detailed design phases, where preliminary design identifies modules and relationships, and detailed design specifies data structures and algorithms.
3. Design principles like abstraction, refinement, modularity, architecture, control hierarchy, and information hiding are explained as important concepts for creating a complete design model.
The document discusses different software development process models including the spiral model, concurrent model, and component-based development model. The spiral model is an evolutionary model that combines iterative development and risk analysis. It involves progressively more complete versions of the software through iterations. The concurrent model allows activities like modeling, analysis, and design to progress concurrently in different states. The component-based development model is evolutionary and reuse prepackaged software components, researching available products, designing architecture, and integrating and testing components.
Modern gadgets and machines such as medical equipments, mobile phones, cars and even military hardware run on software. The operational efficiency and accuracy of these machines are critical to life and the well being of modern civilization. When the software powering these machines fail it exposes life to danger and can cause the failure of businesses. In this paper, software quality measure is presented with the emphasis on improving standard and controlling damages that may result from badly developed application. The research shows various software quality standards and quality metrics and how they can be applied. The application of the metrics in measuring software quality in the research produced results which shows that the code metrics performance is better than the design metrics performance and points to a new way of improving quality by refactoring application code instead of developing new designs. This is believed to ensure reusability and reduced failure rate when software is developed
This document provides an overview of software engineering concepts covered in lecture notes. It discusses the software development life cycle (SDLC) which includes key stages like requirements gathering, design, coding, testing, integration and maintenance. The SDLC framework aims to develop software efficiently using a well-defined process. Software engineering principles like abstraction and decomposition are used to reduce complexity when developing large programs.
Software quality is an important issue in the development of successful software application.
Many methods have been applied to improve the software quality. Refactoring is one of those
methods. But, the effect of refactoring in general on all the software quality attributes is
ambiguous.
The goal of this paper is to find out the effect of various refactoring methods on quality
attributes and to classify them based on their measurable effect on particular software quality
attribute. The paper focuses on studying the Reusability, Complexity, Maintainability,
Testability, Adaptability, Understandability, Fault Proneness, Stability and Completeness
attribute of a software .This, in turn, will assist the developer in determining that whether to
apply a certain refactoring method to improve a desirable quality attribute.
This document provides an overview of the COCOMO (Constructive Cost Estimation Model) software cost estimation model. It discusses the basic, intermediate, and complete COCOMO models. The basic model estimates effort and development time as a function of source lines of code. It categorizes projects as organic, semidetached, or embedded based on characteristics of the product, team, and environment. The intermediate model refines the basic estimates using 15 cost drivers. The complete model treats a software project as composed of subsystems that may have different characteristics and complexity levels.
The document discusses the elusive nature of software quality. It defines quality as meeting user requirements as well as usability factors. Measuring quality is challenging as it depends on perspectives. Process improvements like total quality management, six sigma and software quality function deployment can help improve quality by focusing on customer needs and continuous process enhancement. However, achieving high quality is difficult given the complex nature of software and how it depends on many interconnected factors including hardware, people, processes, and other software.
This document provides an overview of software design concepts including:
1. Software design is more creative than analysis and deals with how a system will be implemented. A good design is key to a successful product.
2. Design characteristics like correctness, understandability, efficiency and maintainability are important. High cohesion and low coupling lead to better designs.
3. Conceptual design defines how the system will work at a high level while technical design provides low-level implementation details like hardware and software needs.
The document provides an overview of software engineering concepts including:
1) It defines software and discusses its evolutionary role as both a product and vehicle.
2) It describes different categories of software applications such as system software, real-time software, business software, and more.
3) It discusses software engineering goals, related disciplines, and key terms such as project size factors, quality and productivity factors, and managerial issues.
The incremental model divides a project into a series of increments. Each increment follows the waterfall model by going through planning, modeling, design, construction, testing, and deployment phases to deliver working functionality. As increments are completed, the working system is expanded until the full system is implemented. This allows software to be delivered in early increments while maintaining flexibility to change scope over the course of the project. However, problems can arise if not all requirements are identified upfront.
A system for performance evaluation of embedded softwareMr. Chanuwan
The document proposes a performance evaluation system for embedded software. The system consists of a code analyzer, testing agents, data analyzer, and report viewer. The code analyzer inserts additional code into the source code and compiles it. Testing agents execute performance tests on the target system. The data analyzer translates raw test results into APIs. The report viewer provides graphical reports using the APIs. The system aims to help developers easily and intuitively analyze software performance without additional hardware.
Software Engineering Past Papers (Short Questions)MuhammadTalha436
1. SWOT analysis is a framework for identifying internal and external factors that can impact a project, product, place or person. It analyzes strengths, weaknesses, opportunities, and threats.
2. Software refactoring is changing software code without altering external behavior to improve internal structure.
3. An embedded system is a programmed system within a larger mechanical or electrical system, often with real-time computing constraints and a dedicated function.
Software project management involves planning, monitoring, and controlling software projects. It includes defining phases, activities, methods, processes, and competencies. Estimating costs, efforts, risks and scheduling are important skills. Software engineering is the application of scientific knowledge to design, construct, and maintain computer programs and documentation. There are different types of processes, technologies, maturity levels, and standards involved in software project management.
The document contains answers to 14 short questions and 6 long questions related to software engineering. Some key topics covered include the software development process, phases of the rational unified process model, risks and risk management approaches, software design concepts like modularity and cohesion/coupling, and software engineering methodologies like agile development and formal methods. Refactoring is discussed as an important part of the software design process to improve code structure and understandability over time.
This document provides an overview of software engineering and a generic process model. It discusses that software should be engineered to meet 21st century challenges. A software engineering process involves communication, planning, modeling, construction, and deployment activities applied iteratively. It also involves umbrella activities like tracking, reviews, and configuration management. Finally, it presents a schematic of a generic process model showing the relationship between framework activities, actions, and tasks.
Gsd systematic task allocation evaluation in distributed software developmentShatakirti Er
This document presents a systematic approach for evaluating task allocation alternatives in distributed software development. It describes defining relevant viewpoints, contexts, factors and baselines. Variation factors like capabilities, dependencies and characteristics are identified and their impacts assessed. Possible task assignments are then evaluated based on the analysis. The approach is demonstrated through a scenario where a company evaluates assigning work between sites in Europe and India for a new project.
The document discusses software project planning and size estimation techniques. It describes estimating the size of a software project using lines of code counting, function point analysis, and examples. Function point analysis involves decomposing a system into functional units like inputs, outputs, files and inquiries. Each unit is assigned a complexity weight and counted. The weighted counts are summed to calculate unadjusted function points. Adjustments are then made based on complexity factors to determine the final function point count, which can be used to estimate effort, cost and schedule for a project. Three examples are provided to illustrate calculating function points for sample projects.
Analysis of Software Complexity Measures for Regression TestingIDES Editor
Software metrics is applied evaluating and assuring
software code quality, it requires a model to convert internal
quality attributes to code reliability. High degree of complexity
in a component (function, subroutine, object, class etc.) is bad
in comparison to a low degree of complexity in a component.
Various internal codes attribute which can be used to indirectly
assess code quality. In this paper, we analyze the software
complexity measures for regression testing which enables the
tester/developer to reduce software development cost and
improve testing efficacy and software code quality. This
analysis is based on a static analysis and different approaches
presented in the software engineering literature.
1. The document describes several traditional software development life cycle process models, including the waterfall model, prototyping model, RAD model, and evolutionary model.
2. It proposes a new software process model called the Software Architecture Development Life Cycle (SADLC) model that is based on the spiral process model and takes architecture-based development into account.
3. The SADLC model aims to organize software development activities and artifacts to be delivered to customers based on prescribed tasks, tools, and resource allocation over multiple iterations.
The document describes a seminar report submitted by Saloni Bhargava and Sonal Bohra for their Bachelor of Engineering degree in fulfillment of their industrial defined project titled "Edu-Junction", which is a web-based application for practicing entrance exams. It includes certificates from their internal and external guides confirming the work is satisfactory. It also acknowledges the support received and provides an abstract describing the purpose and features of the Edu-Junction system.
This document discusses analyzing open source code evolution using source code metrics. It describes developing a tool to gather metrics from C/C++, C#, and Java source codes. The tool is used to analyze selected open source projects, studying their release evolutions and comparing characteristics between releases and across projects. Different programming languages and development styles are examined.
1. The document discusses software testing and provides definitions, objectives, and types of testing. It defines testing as analyzing software to detect bugs and differences from requirements.
2. The primary objectives of testing are to design tests that systematically uncover errors with minimal time and effort. Exhaustive testing all possible inputs is not possible due to the large number of combinations.
3. White box testing uses the internal logic and structure of code to design test cases that execute all independent paths, loops, and internal data structures to ensure validity. It helps optimize code but does not ensure requirements are fulfilled and requires a skilled tester.
1. The document discusses key concepts in software design including transforming customer requirements into an implementable form, designing modules, control relationships, interfaces, data structures, and algorithms.
2. It also covers preliminary and detailed design phases, where preliminary design identifies modules and relationships, and detailed design specifies data structures and algorithms.
3. Design principles like abstraction, refinement, modularity, architecture, control hierarchy, and information hiding are explained as important concepts for creating a complete design model.
The document discusses different software development process models including the spiral model, concurrent model, and component-based development model. The spiral model is an evolutionary model that combines iterative development and risk analysis. It involves progressively more complete versions of the software through iterations. The concurrent model allows activities like modeling, analysis, and design to progress concurrently in different states. The component-based development model is evolutionary and reuse prepackaged software components, researching available products, designing architecture, and integrating and testing components.
Modern gadgets and machines such as medical equipments, mobile phones, cars and even military hardware run on software. The operational efficiency and accuracy of these machines are critical to life and the well being of modern civilization. When the software powering these machines fail it exposes life to danger and can cause the failure of businesses. In this paper, software quality measure is presented with the emphasis on improving standard and controlling damages that may result from badly developed application. The research shows various software quality standards and quality metrics and how they can be applied. The application of the metrics in measuring software quality in the research produced results which shows that the code metrics performance is better than the design metrics performance and points to a new way of improving quality by refactoring application code instead of developing new designs. This is believed to ensure reusability and reduced failure rate when software is developed
This document provides an overview of software engineering concepts covered in lecture notes. It discusses the software development life cycle (SDLC) which includes key stages like requirements gathering, design, coding, testing, integration and maintenance. The SDLC framework aims to develop software efficiently using a well-defined process. Software engineering principles like abstraction and decomposition are used to reduce complexity when developing large programs.
Software quality is an important issue in the development of successful software application.
Many methods have been applied to improve the software quality. Refactoring is one of those
methods. But, the effect of refactoring in general on all the software quality attributes is
ambiguous.
The goal of this paper is to find out the effect of various refactoring methods on quality
attributes and to classify them based on their measurable effect on particular software quality
attribute. The paper focuses on studying the Reusability, Complexity, Maintainability,
Testability, Adaptability, Understandability, Fault Proneness, Stability and Completeness
attribute of a software .This, in turn, will assist the developer in determining that whether to
apply a certain refactoring method to improve a desirable quality attribute.
This document provides an overview of the COCOMO (Constructive Cost Estimation Model) software cost estimation model. It discusses the basic, intermediate, and complete COCOMO models. The basic model estimates effort and development time as a function of source lines of code. It categorizes projects as organic, semidetached, or embedded based on characteristics of the product, team, and environment. The intermediate model refines the basic estimates using 15 cost drivers. The complete model treats a software project as composed of subsystems that may have different characteristics and complexity levels.
The document discusses the elusive nature of software quality. It defines quality as meeting user requirements as well as usability factors. Measuring quality is challenging as it depends on perspectives. Process improvements like total quality management, six sigma and software quality function deployment can help improve quality by focusing on customer needs and continuous process enhancement. However, achieving high quality is difficult given the complex nature of software and how it depends on many interconnected factors including hardware, people, processes, and other software.
This document provides an overview of software design concepts including:
1. Software design is more creative than analysis and deals with how a system will be implemented. A good design is key to a successful product.
2. Design characteristics like correctness, understandability, efficiency and maintainability are important. High cohesion and low coupling lead to better designs.
3. Conceptual design defines how the system will work at a high level while technical design provides low-level implementation details like hardware and software needs.
The document provides an overview of software engineering concepts including:
1) It defines software and discusses its evolutionary role as both a product and vehicle.
2) It describes different categories of software applications such as system software, real-time software, business software, and more.
3) It discusses software engineering goals, related disciplines, and key terms such as project size factors, quality and productivity factors, and managerial issues.
The incremental model divides a project into a series of increments. Each increment follows the waterfall model by going through planning, modeling, design, construction, testing, and deployment phases to deliver working functionality. As increments are completed, the working system is expanded until the full system is implemented. This allows software to be delivered in early increments while maintaining flexibility to change scope over the course of the project. However, problems can arise if not all requirements are identified upfront.
A system for performance evaluation of embedded softwareMr. Chanuwan
The document proposes a performance evaluation system for embedded software. The system consists of a code analyzer, testing agents, data analyzer, and report viewer. The code analyzer inserts additional code into the source code and compiles it. Testing agents execute performance tests on the target system. The data analyzer translates raw test results into APIs. The report viewer provides graphical reports using the APIs. The system aims to help developers easily and intuitively analyze software performance without additional hardware.
Software Engineering Past Papers (Short Questions)MuhammadTalha436
1. SWOT analysis is a framework for identifying internal and external factors that can impact a project, product, place or person. It analyzes strengths, weaknesses, opportunities, and threats.
2. Software refactoring is changing software code without altering external behavior to improve internal structure.
3. An embedded system is a programmed system within a larger mechanical or electrical system, often with real-time computing constraints and a dedicated function.
Software project management involves planning, monitoring, and controlling software projects. It includes defining phases, activities, methods, processes, and competencies. Estimating costs, efforts, risks and scheduling are important skills. Software engineering is the application of scientific knowledge to design, construct, and maintain computer programs and documentation. There are different types of processes, technologies, maturity levels, and standards involved in software project management.
The document contains answers to 14 short questions and 6 long questions related to software engineering. Some key topics covered include the software development process, phases of the rational unified process model, risks and risk management approaches, software design concepts like modularity and cohesion/coupling, and software engineering methodologies like agile development and formal methods. Refactoring is discussed as an important part of the software design process to improve code structure and understandability over time.
This document provides an overview of software engineering and a generic process model. It discusses that software should be engineered to meet 21st century challenges. A software engineering process involves communication, planning, modeling, construction, and deployment activities applied iteratively. It also involves umbrella activities like tracking, reviews, and configuration management. Finally, it presents a schematic of a generic process model showing the relationship between framework activities, actions, and tasks.
This document discusses software process models. It defines a software process as a framework for activities required to build high-quality software. A process model describes the phases in a product's lifetime from initial idea to final use. The document then describes a generic process model with five framework activities - communication, planning, modeling, construction, and deployment. It provides an example of identifying task sets for different sized projects. Finally, it discusses the waterfall process model as the first published model, outlining its sequential phases and problems with being rarely linear and requiring all requirements up front.
The document provides definitions and explanations of key software engineering concepts. It summarizes stakeholders as anyone who directly or indirectly benefits from a system. Prototyping draws criticism for prioritizing quick prototypes over quality. Incremental development delivers software in pieces that build on prior deliveries, while evolutionary development iteratively produces more complete versions. Formal methods are not widely used due to extended timelines, complex mathematics, and incompatibility with other tools. Risk analysis identifies possible losses in development. Information systems link to business objectives by improving processes and maintaining competitive advantages. Process improvement involves measurement, analysis, change identification. Requirements elicitation uses techniques like interviews and prototyping. Architecture design represents effectiveness and reduces risks. Modular design improves
The document discusses process models in software engineering. It defines process models as a framework that defines the typical activities, actions, and tasks required to build high-quality software. Process models provide stability, control, and organization to the software development process. The document discusses the key components of a generic process model, including the five framework activities of communication, planning, modeling, construction, and deployment. It also discusses process flows, task sets, process patterns, process assessment, and prescriptive process models.
This document discusses interaction design and the design process. It covers:
1. Interaction design focuses on how interactive products communicate with users to make them more useful, usable, and desirable. The design process involves identifying user needs, developing designs, building prototypes, and evaluating designs through iterations.
2. Software engineering principles like software development lifecycles can be applied to interactive system design. The document discusses lifecycle models like waterfall, spiral, and RAD. It also covers the basic activities in a typical lifecycle.
3. Usability engineering and iterative design are two key concepts in interaction design. Usability engineering specifies usability criteria for evaluation. Iterative design incorporates user feedback through prototyping and
The document summarizes the phases of the software development life cycle (SDLC) and provides details about system requirement specification for an army management system project. It describes the typical phases in SDLC models such as waterfall, spiral, agile etc. It then covers the specific phases in more detail - preliminary analysis, system analysis, design, development, integration and testing, acceptance and deployment, maintenance. Lastly, it discusses system requirement specification, including UML notations, diagrams to be used and provides a brief overview of class diagrams.
The document discusses interaction design and the design process for interactive systems. It covers:
1. Interaction design focuses on how interactive products communicate with users to make them more useful, usable, and desirable. The design process involves identifying user needs, developing designs, building prototypes, and evaluating designs through iterations.
2. Software engineering principles like software development lifecycles can be applied to interactive system design. The waterfall model involves requirements analysis, design, implementation, testing, and maintenance phases. Iterative design uses prototypes to get user feedback and improve the design.
3. Usability engineering and iterative design are two key concepts in the design process. Usability engineering specifies usability criteria for evaluation. Iterative
This document discusses various process models for software engineering. It begins by defining what a process model is and explaining why they are useful. It then covers traditional sequential models like waterfall and V-model. Iterative and incremental models like prototyping and spiral modeling are described which allow for software to evolve through iterations. Other topics covered include concurrent modeling, component-based development, formal methods, aspects, unified process and personal software process. The document provides details on different process patterns, assessment methods and considerations for evolutionary processes.
This document provides information on the Software Engineering course with code 210253. It is a 3 credit course with a mid-semester exam worth 30 marks and an end-semester exam worth 70 marks. The syllabus covers topics like introduction to software engineering, software process models, prescriptive process models (waterfall, incremental, evolutionary), and agile software development. It also discusses concepts like software engineering fundamentals, process frameworks, generic process activities, prescriptive process models, evolutionary models, concurrent development model, and principles of software engineering practice.
The document provides an introduction to software engineering and discusses the software development process, including project management. It describes various software development models like the waterfall model and iterative development. Key aspects of project management are also covered, such as feasibility studies, requirements definition, scheduling techniques, and the role of the project manager.
This document discusses various software development life cycle models including the V-Model, Prototyping Model, Extreme Programming, Synchronize-and-Stabilize Model, Fountain Model, and Spiral Model. It provides an overview and description of each model, outlining their key characteristics, advantages, and disadvantages. The models are classified based on features of software projects to determine the most appropriate life cycle approach.
The document discusses various software development process models including:
- Waterfall model - A linear sequential model that progresses through requirements, design, implementation, testing, integration, and maintenance.
- V-Model - A variation of waterfall that incorporates validation and verification at each stage.
- Incremental model - Combines elements of linear and parallel flows by delivering incremental versions of software.
- Evolutionary models like prototyping and spiral model - Iteratively develop increasingly complete versions of software to accommodate changing requirements.
- Concurrent model - Allows activities like modeling to occur concurrently rather than sequentially.
It also discusses process frameworks, patterns, assessment, and personal software process models. The goal is to provide structure while allowing for flexibility
Software Engineering- Crisis and Process ModelsNishu Rastogi
The document discusses various software engineering process models including the waterfall model, iterative waterfall model, prototyping model, evolutionary model, rapid application development model, and spiral model. It provides details on the key activities and stages in each model's software development life cycle. The document also compares the different models and discusses when each may be best applied based on factors like the problem's understandability, decomposability into modules, and tolerance for incremental delivery.
Software is a set of instructions and data structures that enable computer programs to provide desired functions and manipulate information. Software engineering is the systematic development and maintenance of software. It differs from software programming in that engineering involves teams developing complex, long-lasting systems through roles like architect and manager, while programming involves single developers building small, short-term applications. A software development life cycle like waterfall or spiral model provides structure to a project through phases from requirements to maintenance. Rapid application development emphasizes short cycles through business, data, and process modeling to create reusable components and reduce testing time.
This document provides an overview of key concepts in software engineering. It discusses software engineering principles like the software development process, software testing approaches, and software quality models. Specifically, it defines software engineering, describes different software categories and challenges, explains fundamental software process activities, and outlines software testing techniques like black box and white box testing. It also covers topics like the Capability Maturity Model, evolutionary process models, prototyping, requirements engineering, and software design principles.
The document discusses software engineering and process models. It defines software engineering as the application of systematic and quantifiable approaches to software development, operation and maintenance. It describes software as computer programs, data structures and documentation.
It then discusses characteristics of software such as it being engineered not manufactured, not wearing out over time, and continuing to be custom built in most cases. It also discusses the software engineering layers including the process, method and tools layers.
Finally, it discusses the software process as a framework involving key activities like communication, planning, modeling, construction and deployment. It explains the generic process model and how activities are populated by actions and tasks to produce work products.
This document outlines the 10 step process for software project planning. It begins with selecting the project and identifying its scope and objectives. It then covers identifying the project infrastructure, analyzing project characteristics, and identifying products and activities. Steps also include estimating effort for each activity, identifying risks, allocating resources, and reviewing/publicizing the plan. Execution then involves lower level planning. The document also discusses software effort estimation techniques such as algorithmic models, expert judgment, analogy, and top-down and bottom-up approaches.
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This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
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Se chapter 1,2,3 2 mark qa
1. KTVR KNOWLEDGE PARK FOR ENGINEERING AND TECHNOLOGY
COIMBATORE – 641 019
DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING
SUBJECT : SOFTWARE ENGINEERING
CLASS : III B.E (CSE)
SEMESTER : V - ODD SEMESTER
2 MARK Q & A
CHAPTER - 1
1. What is software engineering?
The application of a systematic, disciplined, quantifiable approach to the development,
operation and maintenance of a software.
2. What are the two ways of solving problem?
(i)Analysis: Breaking the problem into pieces that we can understand and try to deal
with.
(ii)Synthesis: Putting together of a large structure from small building block.
3. Define method and procedure.
Method: Formal procedure for producing some results.
Procedure: combination of both tools and methods .
4. Define fault and failure.
Fault:
Failure: Total damage to the system is known as failure.
5. Mention the five different perspectives in defining the quality of a software product.
The perspectives are the following
(i)Trancedential view
(ii)User view
(iii)Manufacturing view
(iv) Product view
(v)Value-based view
2. 6. List the participants in the software project.
Participants in the software project is categorized into three categories
(i)User
(ii)Customer
(iii)Developer
7. What is COTS?
Commercial off-the shelf: Software to be incorporated in the final product that the
developer will supply and support.
8. List the elements of the system.
The elements of the system are
(i)Activities and objects
(ii)Relationship and boundaries.
9. What do you mean by incremental development approach?
Incorporates series of the stages.
10. What is system boundary?
It is easier to see what is within and without and what crosses the boundary.
11. What are the software development process?
=>System design
=>program design
=>writing the program
=>Unit testing
=>Integration testing
=>System testing
=>System delivery
=>Maintenance
12. Mention the member of the development team.
The members of the development team are
=>Analyst
=>Programmer
3. =>Designer
=>Tester
=>Trainer.
13. State the eight fundamental notions in software engineering.
=>Abstraction
=>Analysis a design methods and notation.
=>User interface prototyping.
=>Software architecture.
=>Software process
=>Reuse
=>Measurement
=>Tools and integrated Environment
14. List the five ways that is used to partition the system into units.
(i)Modular Organization: based on assigning function to modules.
(ii)Data-oriented decomposition: based on external data structure.
(iii)Event oriented decomposition: based on events that system must handle.
(iv)Outside in design: based on user inputs to the system.
(v)Object oriented design: based on identifying classed of objects and their relationship.
15. State the five issues addressed in any tool integration.
(i) Platform Integration : Ability of tools to interpreter.
(ii) Presentation integration: Commonality of user integrate.
(iii) Process integration: Linkage between tools and development process.
(iv) Data integration: The way tools share data
(v) Control integration: Ability for one tool to notify and initiate action in another.
4. CHAPTER - 2
1. Define Process.
The Process is refer as the, a serious of steps involving activities, constraints, and
resources that produce an intended output of some kind.
2. List the characteristics of Process.
The process prescribes all of the major process activities.
Every process has set of guiding principles that explain the goals of each activity.
The process uses resources, subject to a set of constraints, and produces intermediate
and final products.
3. What is software life cycle and what are the software development stages?
When the process involves the building of some product, we sometimes refer to the
process as a life cycle. Thus, the software development process is sometimes called the
software life cycle.
Software development usually the following stages:
requirements analysis and definition
system design
program design
writing the programs
unit testing
integration testing
system testing
system delivery
maintenance
4. Differentiate validation and verification.
Validation:
It ensures that the system has implemented all of the requirements, so that each system
function can be traced back to a particular requirement in the specification.
Verification:
5. It ensures that the each function works correctly. That is, validation makes sure that the
developer is building the right product(according to the specification), and verification checks
the quality of the implementation.
5. Mention two popular approaches in phase development model.
Increments
Iterations
6. List the example of agile method.
Extreme Programming(XP)
Crystal
Scrum
Adaptive software development(ASD)
7. Define refactoring.
It refers to revisiting the requirements and design, reformulating them to match new and
existing needs.
8. List the twelve facets of XP.
The planning game
Small releases
Metaphor
Simple design
Writing test first
Refactoring
Pair programming
Collective ownership
Continuous integration
9. What is Pair Programming?
Pair programming attempts to address the artistic side of software development,
acknowledging that the apprentice-master metaphor can be useful in teaching novice software
developers how to develop the instincts of masters.
6. 10. Differentiate static and dynamic model.
Static Model:
A static Model depicts the process, showing that the inputs are transformed to outputs.
Dynamic Model:
A dynamic model enacts the process, so the user can see how intermediate and
final products are transformed over time.
11. Mention the seven elements of the process.
Activity
Sequence
Process model
Resource
Control
Policy
Organization
12. State the four characteristics of agility.
Communication
Simplicity
Courage
Feedback
7. CHAPTER - 3
1. Define Activity and Milestone.
An Activity is a part of the project that takes place over a period of time. An Activity has
a beginning and an end.
A milestone is the completion of an activity- a particular point in time. A milestone is the
end of the specially designated activity.
2. What is WBS?
Work breakdown structure depicts the project as a set of discrete pieces of work.
A project’s work breakdown structure gives no indication of the interdependence of the
work units or of the parts of the project that can be developed concurrently.
3. State the four parameters of an Activity.
4 parameters of Activity:
Precursor : event or set of events that must occur in order for an activity to start
Duration : length of time needed to complete an activity
Due date : date by which an activity must be completed
Endpoint : activity has to be ended i.e., usually milestone or deliverable
4. State the use of Activity Graph with an example.
Activity graphs depict the dependencies among activities
Activity graphs depend on an understanding of the parallel nature of tasks.
The graphs must reflect a realistic depiction of parallelism
For Example: In house building example, it is clear that some of the tasks, like plumbing,
will be done by different people from those doing other tasks, like electrical work. But on
software development projects, where some people have many skills, the theoretical
parallelism may not reflect reality. A restricted number of people assigned to the project may
result in the same person doing many things in series, even though they could be done in
parallel by a larger development team.
5. What is CPM?
Analyzing the paths among the milestones of a project is called the Critical Path
Method (CPM).CPM reveals those activities that are most critical to completing the project on
time.
6. Differentiate Real time and Available time.
Real time Available Time
The real time or actual time for an The available time is the amount of
activity is the estimated amount of time time available in the schedule for the
required for the activity to be activity‘s completion
completed.
8. 7. Mention the different ways in which the project personnel differ.
The project personnel differs in the following ways:
Ability to perform the work
Interest in the work
Experience with similar applications
Experience with similar tools or languages
Experience with similar techniques
Experience with similar development environment
Training
Ability to communicate with others
Ability to share responsibility with others
Management skills
8. State the use of communication paths.
A project's progress is affected by
◦ Degree of communication
◦ Ability of individuals to communicate their ideas
Software failures can result from breakdown in communication and understanding
Line of communication can grow quickly
If there is n worker in project, then there are n(n-1)/2 pairs of communication & 2n – 1
possible teams.
9. List different Work styles.
Extroverts : people tell their thoughts
Introverts : people ask for suggestions
Intuitive : people base their decisions on feelings and emotional
reactions to problem.,
Rational : people base their decisions on facts, options
10. List two different organizational structures.
Highly structured organizational structure
Loosely structured organizational structure
11. Differentiate highly structure & loosely structure.
Highly Structured Loosely Structured
High certainity Uncertainity
Repetition New techniques or technology
Large projects Small projects
12. How the structure is different from creativity?
Consider two groups building a hotel
9. ◦ Structured team : clearly defined responsibilities
◦ Unstructured team : no directions
The results are always the same
◦ Structured teams finish a functional Days Inn
◦ Unstructured teams build a creative, multistoried Taj Mahal and never complete
one on time
Good project management means finding a balance between structure and creativity
13. Mention the types of Effort Estimation.
Expert Judgment
Top-down or bottom-up
Algorithmic methods
14. List the three predictions of analogy process in Expert Judgement.
The three predictions are:
A pessimistic one(x)
An optimistic one(y) and
A most likely guess(z)
15. Give the Equation used in algorithmic methods for expressing effort.
The Equation used in algorithmic methods for expressing effort is
E=(a+bSc)m(X)
16. List any five Walston & Felix model productivity factors.
Customer interface complexity
Overall complexity of code
Complexity of program flow
Complexity of application processing
Use of top-down development
17. What is the use of COCOMO?
Boehm developed – COnstructive COst MOdel
Size Estimation model
Boehm (1981) – used Size as primary determinant of cost & then adjusted the initial
estimate using cost drivers such as staff, proj., product, dev. env.,
18. List the three stages of COCOMO II.
Application composition
Early design
Post Architecture
19. What is Back propagation?
10. Some techniques involve looking back to what has happened at other nodes; these are
called back propagation techniques.
20. List the four steps for estimation using CBR (Case Based Reasoning).
Estimation using CBR involves four steps:
the user identifies a new problem as a case
the system retrieves similar case from a repository of historical information
the system reuses knowledge from previous case
the system suggests a solution for the new case
21. List the two statistics used for accessing the accuracy.
The two statistics used for accessing accuracy:
PRED
MMRE(Mean Magnitude of Relative Error)
22. Define Risk.
Risk is an unwanted event that has negative consequences. Project managers must
engage in risk management to understand and control the risks on their projects.
23. What are the two major sources of risk?
There are two major sources of risk:
Generic
Project-specific
Generic risks are those common to all software projects such as misunderstanding the
requirements, losing key personnel, or allowing insufficient time for testing.
Specific risks are threats that result from the particular vulnerabilities of the given project.
24. What is Project Plan?
To communicate risk analysis and management, project cost estimates, schedule, and
organization to our customers; we usually write a document called a project plan.
25. List the four tenets in Enrollment Management Model?
Establishing an appropriately large shared vision.
Delegating completely and eliciting specific commitments from participants.
Inspecting vigorously and providing supportive feedback.
Acknowledging every advance and learning as the program progressed.
26. What is Win - Win Spiral model?
The spiral model, originally proposed by Boehm [BOE88], is an evolutionary software
process model that couples the iterative nature of prototyping with the controlled and
systematic aspects of the linear sequential model. It provides the potential for rapid
development of incremental versions of the software.