This document discusses various process models for software engineering:
- The waterfall model defines sequential phases of requirements, design, implementation, testing, and maintenance. It is inflexible to change.
- Iterative models allow repetition of phases to incrementally develop software. The incremental model delivers functionality in increments.
- Evolutionary models like prototyping and spiral development use iterative evaluation and refinement of prototypes to evolve requirements and manage risk.
- Other models include component-based development, formal methods, aspect-oriented development, and the Unified Process with iterative development of use cases. Personal and team software processes focus on self-directed teams, planning, metrics, and process improvement.
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.
This document discusses various topics related to software design including design principles, concepts, modeling, and architecture. It provides examples of class/data design, architectural design, interface design, and component design. Some key points discussed include:
- Software design creates representations and models that provide details on architecture, data structures, interfaces, and components needed to implement the system.
- Design concepts like abstraction, modularity, encapsulation, and information hiding are important to reduce complexity and improve design.
- Different types of design models include data/class design, architectural design, interface design, and component-level design.
- Good software architecture and design lead to systems that are more understandable, maintainable, and of higher quality.
Evolutionary models are iterative and incremental software development approaches that combine iterative and incremental processes. There are two main types: prototyping and spiral models. The prototyping model develops prototypes that are tested and refined based on customer feedback until requirements are met, while the spiral model proceeds through multiple loops or phases of planning, risk analysis, engineering, and evaluation. Both approaches allow requirements to evolve through development and support risk handling.
Risk management involves identifying potential problems, assessing their likelihood and impacts, and developing strategies to address them. There are two main risk strategies - reactive, which addresses risks after issues arise, and proactive, which plans ahead. Key steps in proactive risk management include identifying risks through checklists, estimating their probability and impacts, developing mitigation plans, monitoring risks and mitigation effectiveness, and adjusting plans as needed. Common risk categories include project risks, technical risks, and business risks.
Je vous partage l'un des présentations que j'ai réalisé lorsque j'étais élève ingénieur pour le module 'Anglais Business ' , utile pour les étudiants souhaitant préparer une présentation en anglais sur les Design Pattern - ou les patrons de conception .
This document discusses design patterns, beginning with how they were introduced in architecture in the 1950s and became popularized by the "Gang of Four" researchers. It defines what patterns are and provides examples of different types of patterns (creational, structural, behavioral) along with common patterns in each category. The benefits of patterns are that they enable reuse, improve communication, and ease the transition to object-oriented development. Potential drawbacks are that patterns do not directly lead to code reuse and can be overused. Effective use requires applying patterns strategically rather than recasting all code as patterns.
This document summarizes key concepts from the first chapter of Ian Sommerville's Software Engineering textbook. It introduces software engineering as an engineering discipline concerned with all aspects of software production. It discusses the objectives of software engineering, topics covered like frequently asked questions and professional responsibility. It also summarizes concepts like the software development process, methods, costs and challenges in the field.
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.
This document discusses various topics related to software design including design principles, concepts, modeling, and architecture. It provides examples of class/data design, architectural design, interface design, and component design. Some key points discussed include:
- Software design creates representations and models that provide details on architecture, data structures, interfaces, and components needed to implement the system.
- Design concepts like abstraction, modularity, encapsulation, and information hiding are important to reduce complexity and improve design.
- Different types of design models include data/class design, architectural design, interface design, and component-level design.
- Good software architecture and design lead to systems that are more understandable, maintainable, and of higher quality.
Evolutionary models are iterative and incremental software development approaches that combine iterative and incremental processes. There are two main types: prototyping and spiral models. The prototyping model develops prototypes that are tested and refined based on customer feedback until requirements are met, while the spiral model proceeds through multiple loops or phases of planning, risk analysis, engineering, and evaluation. Both approaches allow requirements to evolve through development and support risk handling.
Risk management involves identifying potential problems, assessing their likelihood and impacts, and developing strategies to address them. There are two main risk strategies - reactive, which addresses risks after issues arise, and proactive, which plans ahead. Key steps in proactive risk management include identifying risks through checklists, estimating their probability and impacts, developing mitigation plans, monitoring risks and mitigation effectiveness, and adjusting plans as needed. Common risk categories include project risks, technical risks, and business risks.
Je vous partage l'un des présentations que j'ai réalisé lorsque j'étais élève ingénieur pour le module 'Anglais Business ' , utile pour les étudiants souhaitant préparer une présentation en anglais sur les Design Pattern - ou les patrons de conception .
This document discusses design patterns, beginning with how they were introduced in architecture in the 1950s and became popularized by the "Gang of Four" researchers. It defines what patterns are and provides examples of different types of patterns (creational, structural, behavioral) along with common patterns in each category. The benefits of patterns are that they enable reuse, improve communication, and ease the transition to object-oriented development. Potential drawbacks are that patterns do not directly lead to code reuse and can be overused. Effective use requires applying patterns strategically rather than recasting all code as patterns.
This document summarizes key concepts from the first chapter of Ian Sommerville's Software Engineering textbook. It introduces software engineering as an engineering discipline concerned with all aspects of software production. It discusses the objectives of software engineering, topics covered like frequently asked questions and professional responsibility. It also summarizes concepts like the software development process, methods, costs and challenges in the field.
This document discusses different approaches to requirements modeling including scenario-based modeling using use cases and activity diagrams, data modeling using entity-relationship diagrams, and class-based modeling using class-responsibility-collaborator diagrams. Requirements modeling depicts requirements using text and diagrams to help validate requirements from different perspectives and uncover errors, inconsistencies, and omissions. The models focus on what the system needs to do at a high level rather than implementation details.
Evolutionary process models allow developers to iteratively create increasingly complete versions of software. Examples include the prototyping paradigm, spiral model, and concurrent development model. The prototyping paradigm uses prototypes to elicit requirements from customers. The spiral model couples iterative prototyping with controlled development, dividing the project into framework activities. The concurrent development model concurrently develops components with defined interfaces to enable integration. These evolutionary models allow flexibility and accommodate changes but require strong communication and updated requirements.
The Spiral Model is a software development lifecycle model that combines elements of prototyping and the waterfall model. It involves iterating through phases for communication, planning, modeling, construction and deployment in spirals to obtain early feedback from customers. Each iteration allows for refinement of deliverables based on customer evaluations and helps manage risks for large, expensive and complex projects.
The document provides an overview of software architecture. It discusses software architecture versus design, architectural styles like layered and pipe-and-filter styles, software connectors like coordinators and adapters, and using architecture for project management, development and testing. Architectural styles from different domains like buildings are presented as analogies for software architecture styles. The benefits of architectural styles for explaining a system's structure and enabling development of system families are highlighted.
The Waterfall model is a popular sequential model of the software development life cycle where each phase must be completed before the next begins. It consists of requirements, design, implementation, verification, and maintenance phases. Though simple to understand and manage, the Waterfall model works best for smaller, well-defined projects as it is inflexible to changes and produces no working software until late in the cycle.
The document discusses key concepts in software design, including:
- Design involves modeling the system architecture, interfaces, and components before implementation. This allows assessment and improvement of quality.
- Important design concepts span abstraction, architecture, patterns, separation of concerns, modularity, information hiding, and functional independence. Architecture defines overall structure and interactions. Patterns help solve common problems.
- Separation of concerns and related concepts like modularity and information hiding help decompose problems into independently designed and optimized pieces to improve manageability. Functional independence means each module has a single, well-defined purpose with minimal interaction.
Software Requirements in Software Engineering SE5koolkampus
The document introduces software requirements and describes how they are used to define what a system should do. It explains that requirements can be functional or non-functional, and discusses how requirements are organized in documents. Requirements describe the services and constraints for the system from the perspectives of users and developers.
The document describes the Spiral Model software development methodology. It discusses the history, phases, graphical representation, pros and cons, comparisons to other models like Waterfall and Agile, applications, and provides an example of how Microsoft used it to develop Windows operating systems. The Spiral Model is an iterative approach that involves planning, risk analysis, engineering, and evaluation phases within each loop or spiral. It is suited for large, expensive, complex projects and allows for risk identification and mitigation at each stage of development.
System Models in Software Engineering SE7koolkampus
The document discusses various types of system models used in requirements engineering including context models, behavioral models, data models, object models, and how CASE workbenches support system modeling. It describes behavioral models like data flow diagrams and state machine models, data models like entity-relationship diagrams, and object models using the Unified Modeling Language. CASE tools can support modeling through features like diagram editors, repositories, and code generation.
System engineering involves determining operational requirements and modeling relationships between elements like hardware, software, and people to accomplish goals. It can focus on business processes or product development. The engineering process follows a hierarchy from overall objectives to domain specifications to element implementations. It is iterative to adapt to changing needs. Business process engineering derives data, application, and technology architectures, while product engineering defines architectures and infrastructure for software, hardware, data, and people components.
This document discusses the nature of software. It defines software as a set of instructions that can be stored electronically. Software engineering encompasses processes and methods to build high quality computer software. Software has a dual role as both a product and a vehicle to deliver products. Characteristics of software include being engineered rather than manufactured, and not wearing out over time like hardware. Software application domains include system software, application software, engineering/scientific software, embedded software, product-line software, web applications, and artificial intelligence software. The document also discusses challenges like open-world computing and legacy software.
Risk management in software engineeringdeep sharma
The document discusses risk management in software engineering. It defines risk as a potential problem that may or may not occur, causing negative impacts. It categorizes risks as project risks, technical risks, and business risks. It outlines the risk management paradigm of identifying, analyzing, planning, tracking, controlling, and communicating risks. It also discusses establishing a risk mitigation, monitoring and management plan to document the risk analysis work. The key is to identify risks early, evaluate and prioritize them, then develop and implement risk mitigation plans.
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 contains slides from a lecture on software engineering. It discusses definitions of software and software engineering, different types of software applications, characteristics of web applications, and general principles of software engineering practice. The slides are copyrighted and intended for educational use as supplementary material for a textbook on software engineering.
The document defines the software development life cycle (SDLC) and its phases. It discusses several SDLC models including waterfall, prototype, iterative enhancement, and spiral. The waterfall model follows sequential phases from requirements to maintenance with no overlap. The prototype model involves building prototypes for user feedback. The iterative enhancement model develops software incrementally. The spiral model is divided into risk analysis, engineering, construction, and evaluation cycles. The document also covers software requirements, elicitation through interviews and use cases, analysis through data, behavioral and functional modeling, and documentation in a software requirements specification.
The document discusses staffing level estimation over the course of a software development project. It describes how the number of personnel needed varies at different stages: a small group is needed for planning and analysis, a larger group for architectural design, and the largest number for implementation and system testing. It also references models like the Rayleigh curve and Putnam's interpretation that estimate personnel levels over time. Tables show estimates for the distribution of effort, schedule, and personnel across activities for different project sizes. The key idea is that staffing requirements fluctuate throughout the software life cycle, with peaks during implementation and testing phases.
This document provides an overview of quality management concepts and techniques for software engineering. It discusses quality assurance, software reviews, formal technical reviews, statistical quality assurance, software reliability, and the ISO 9000 quality standards. The document includes slides on these topics with definitions, descriptions, and examples.
The document discusses key concepts in software engineering. It defines software engineering as applying systematic and technical approaches to develop reliable and efficient computer software. It describes various software development models including waterfall, prototyping, RAD, spiral and evolutionary models. It also discusses software engineering layers, characteristics, applications, and process models. Finally, it covers concepts like fourth generation techniques, software project management, estimation techniques, and risk management.
The document discusses software quality and defines key aspects:
- It explains the importance of software quality for users and developers.
- Qualities like correctness, reliability, efficiency are defined.
- Methods for measuring qualities like ISO 9126 standard are presented.
- Quality is important throughout the software development process.
- Both product quality and process quality need to be managed.
The document discusses the prototype model in software development. It defines a prototype model as building a working prototype of the system before full development to allow users to evaluate proposals. The key steps are requirements analysis, quick design, building the prototype, getting customer evaluation and feedback, and refining the prototype iteratively until the user is satisfied. Prototype models have advantages like early assessment, clarifying requirements, and ensuring user requirements are met. However, they can also be time-consuming and expensive if multiple prototypes are needed before finding the perfect fit.
SE_Unit 2.pdf it is a process model of it studentRAVALCHIRAG1
The document discusses various process models for software engineering including waterfall, incremental, RAD, evolutionary (prototyping and spiral), concurrent, component-based, aspect-oriented, and reuse-oriented models. It also covers project metrics, software measurement approaches including size-oriented metrics like lines of code and function-oriented metrics like function points. Key aspects of each model are defined along with their applicability and limitations.
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 discusses different approaches to requirements modeling including scenario-based modeling using use cases and activity diagrams, data modeling using entity-relationship diagrams, and class-based modeling using class-responsibility-collaborator diagrams. Requirements modeling depicts requirements using text and diagrams to help validate requirements from different perspectives and uncover errors, inconsistencies, and omissions. The models focus on what the system needs to do at a high level rather than implementation details.
Evolutionary process models allow developers to iteratively create increasingly complete versions of software. Examples include the prototyping paradigm, spiral model, and concurrent development model. The prototyping paradigm uses prototypes to elicit requirements from customers. The spiral model couples iterative prototyping with controlled development, dividing the project into framework activities. The concurrent development model concurrently develops components with defined interfaces to enable integration. These evolutionary models allow flexibility and accommodate changes but require strong communication and updated requirements.
The Spiral Model is a software development lifecycle model that combines elements of prototyping and the waterfall model. It involves iterating through phases for communication, planning, modeling, construction and deployment in spirals to obtain early feedback from customers. Each iteration allows for refinement of deliverables based on customer evaluations and helps manage risks for large, expensive and complex projects.
The document provides an overview of software architecture. It discusses software architecture versus design, architectural styles like layered and pipe-and-filter styles, software connectors like coordinators and adapters, and using architecture for project management, development and testing. Architectural styles from different domains like buildings are presented as analogies for software architecture styles. The benefits of architectural styles for explaining a system's structure and enabling development of system families are highlighted.
The Waterfall model is a popular sequential model of the software development life cycle where each phase must be completed before the next begins. It consists of requirements, design, implementation, verification, and maintenance phases. Though simple to understand and manage, the Waterfall model works best for smaller, well-defined projects as it is inflexible to changes and produces no working software until late in the cycle.
The document discusses key concepts in software design, including:
- Design involves modeling the system architecture, interfaces, and components before implementation. This allows assessment and improvement of quality.
- Important design concepts span abstraction, architecture, patterns, separation of concerns, modularity, information hiding, and functional independence. Architecture defines overall structure and interactions. Patterns help solve common problems.
- Separation of concerns and related concepts like modularity and information hiding help decompose problems into independently designed and optimized pieces to improve manageability. Functional independence means each module has a single, well-defined purpose with minimal interaction.
Software Requirements in Software Engineering SE5koolkampus
The document introduces software requirements and describes how they are used to define what a system should do. It explains that requirements can be functional or non-functional, and discusses how requirements are organized in documents. Requirements describe the services and constraints for the system from the perspectives of users and developers.
The document describes the Spiral Model software development methodology. It discusses the history, phases, graphical representation, pros and cons, comparisons to other models like Waterfall and Agile, applications, and provides an example of how Microsoft used it to develop Windows operating systems. The Spiral Model is an iterative approach that involves planning, risk analysis, engineering, and evaluation phases within each loop or spiral. It is suited for large, expensive, complex projects and allows for risk identification and mitigation at each stage of development.
System Models in Software Engineering SE7koolkampus
The document discusses various types of system models used in requirements engineering including context models, behavioral models, data models, object models, and how CASE workbenches support system modeling. It describes behavioral models like data flow diagrams and state machine models, data models like entity-relationship diagrams, and object models using the Unified Modeling Language. CASE tools can support modeling through features like diagram editors, repositories, and code generation.
System engineering involves determining operational requirements and modeling relationships between elements like hardware, software, and people to accomplish goals. It can focus on business processes or product development. The engineering process follows a hierarchy from overall objectives to domain specifications to element implementations. It is iterative to adapt to changing needs. Business process engineering derives data, application, and technology architectures, while product engineering defines architectures and infrastructure for software, hardware, data, and people components.
This document discusses the nature of software. It defines software as a set of instructions that can be stored electronically. Software engineering encompasses processes and methods to build high quality computer software. Software has a dual role as both a product and a vehicle to deliver products. Characteristics of software include being engineered rather than manufactured, and not wearing out over time like hardware. Software application domains include system software, application software, engineering/scientific software, embedded software, product-line software, web applications, and artificial intelligence software. The document also discusses challenges like open-world computing and legacy software.
Risk management in software engineeringdeep sharma
The document discusses risk management in software engineering. It defines risk as a potential problem that may or may not occur, causing negative impacts. It categorizes risks as project risks, technical risks, and business risks. It outlines the risk management paradigm of identifying, analyzing, planning, tracking, controlling, and communicating risks. It also discusses establishing a risk mitigation, monitoring and management plan to document the risk analysis work. The key is to identify risks early, evaluate and prioritize them, then develop and implement risk mitigation plans.
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 contains slides from a lecture on software engineering. It discusses definitions of software and software engineering, different types of software applications, characteristics of web applications, and general principles of software engineering practice. The slides are copyrighted and intended for educational use as supplementary material for a textbook on software engineering.
The document defines the software development life cycle (SDLC) and its phases. It discusses several SDLC models including waterfall, prototype, iterative enhancement, and spiral. The waterfall model follows sequential phases from requirements to maintenance with no overlap. The prototype model involves building prototypes for user feedback. The iterative enhancement model develops software incrementally. The spiral model is divided into risk analysis, engineering, construction, and evaluation cycles. The document also covers software requirements, elicitation through interviews and use cases, analysis through data, behavioral and functional modeling, and documentation in a software requirements specification.
The document discusses staffing level estimation over the course of a software development project. It describes how the number of personnel needed varies at different stages: a small group is needed for planning and analysis, a larger group for architectural design, and the largest number for implementation and system testing. It also references models like the Rayleigh curve and Putnam's interpretation that estimate personnel levels over time. Tables show estimates for the distribution of effort, schedule, and personnel across activities for different project sizes. The key idea is that staffing requirements fluctuate throughout the software life cycle, with peaks during implementation and testing phases.
This document provides an overview of quality management concepts and techniques for software engineering. It discusses quality assurance, software reviews, formal technical reviews, statistical quality assurance, software reliability, and the ISO 9000 quality standards. The document includes slides on these topics with definitions, descriptions, and examples.
The document discusses key concepts in software engineering. It defines software engineering as applying systematic and technical approaches to develop reliable and efficient computer software. It describes various software development models including waterfall, prototyping, RAD, spiral and evolutionary models. It also discusses software engineering layers, characteristics, applications, and process models. Finally, it covers concepts like fourth generation techniques, software project management, estimation techniques, and risk management.
The document discusses software quality and defines key aspects:
- It explains the importance of software quality for users and developers.
- Qualities like correctness, reliability, efficiency are defined.
- Methods for measuring qualities like ISO 9126 standard are presented.
- Quality is important throughout the software development process.
- Both product quality and process quality need to be managed.
The document discusses the prototype model in software development. It defines a prototype model as building a working prototype of the system before full development to allow users to evaluate proposals. The key steps are requirements analysis, quick design, building the prototype, getting customer evaluation and feedback, and refining the prototype iteratively until the user is satisfied. Prototype models have advantages like early assessment, clarifying requirements, and ensuring user requirements are met. However, they can also be time-consuming and expensive if multiple prototypes are needed before finding the perfect fit.
SE_Unit 2.pdf it is a process model of it studentRAVALCHIRAG1
The document discusses various process models for software engineering including waterfall, incremental, RAD, evolutionary (prototyping and spiral), concurrent, component-based, aspect-oriented, and reuse-oriented models. It also covers project metrics, software measurement approaches including size-oriented metrics like lines of code and function-oriented metrics like function points. Key aspects of each model are defined along with their applicability and limitations.
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.
The document discusses several prescriptive software development models:
1. The waterfall model is a linear sequential model and was one of the earliest prescriptive models proposed.
2. Variations of the waterfall model include the V-model and incremental model, which allow for some iteration and incremental delivery of features.
3. Evolutionary models like prototyping and the spiral model combine iterative development with controlled aspects of waterfall, producing prototypes and incremental releases to manage risk.
The document discusses software processes and iterative process models. It describes incremental delivery and spiral development as two iterative process models. Incremental delivery breaks development into increments with each delivering part of the functionality. Spiral development represents the process as a spiral with phases addressing objectives, risks, development and planning. Both models allow for iteration and incorporate user feedback earlier.
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.
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
The document discusses several system development life cycle (SDLC) models including waterfall, iterative, incremental, spiral, RAD, concurrent, and unified process models. The key phases of SDLC are defined as preliminary survey, analysis, design, implementation, post-implementation/maintenance, and project termination. Each model takes different approaches such as sequential, iterative, incremental, or concurrent development through the SDLC phases.
This is about software engineering.Software engineers apply engineering principles and knowledge of programming languages to build software solutions for end users. Software engineers design and develop computer games, business applications, operating systems, network control systems, and middleware—to name just a few of the many career paths available.
The document discusses different software process models. It describes the waterfall model, which involves sequential phases of requirement analysis, design, implementation, testing, and maintenance. The waterfall model suggests a systematic approach but real projects rarely follow sequential phases and instead involve overlap and feedback between phases. The document also briefly describes the build-and-fix model, which develops software without specifications or design and relies on repeated modifications until requirements are met.
This document discusses various prescriptive software process models. It begins by describing a generic process framework that includes communication, planning, modeling, construction, and deployment. It then covers traditional models like the waterfall model and incremental model. Specialized models discussed include component-based development and formal methods. Finally, it describes the unified process model, which is iterative and incremental.
1. The document discusses various software engineering process models including waterfall, prototyping, RAD, incremental, and spiral models. It describes the key phases and advantages/disadvantages of each.
2. It also covers system engineering and how software engineering occurs as part of developing larger systems. Business process engineering and product engineering are introduced for developing information systems and products respectively.
3. Key aspects of developing computer-based systems are outlined including the elements of software, hardware, people, databases, documentation and procedures.
Elementary Probability theory Chapter 2.pptxethiouniverse
The document discusses various software process models including waterfall, iterative, incremental, evolutionary (prototyping and spiral), and component-based development models. It describes the key activities and characteristics of each model and discusses when each may be applicable. The waterfall model presents a linear sequential flow while evolutionary models like prototyping and spiral are iterative and incremental to accommodate changing requirements.
Esoft Metro Campus - Diploma in Information Technology - (Module VII) Software Engineering
(Template - Virtusa Corporate)
Contents:
What is software?
Software classification
Attributes of Software
What is Software Engineering?
Software Process Model
Waterfall Model
Prototype Model
Throw away prototype model
Evolutionary prototype model
Rapid application development
Programming styles
Unstructured programming
Structured programming
Object oriented programming
Flow charts
Questions
Pseudo codes
Object oriented programming
OOP Concepts
Inheritance
Polymorphism
Encapsulation
Generalization/specialization
Unified Modeling Language
Class Diagrams
Use case diagrams
Software testing
Black box testing
White box testing
Software documentation
This document summarizes several software development process models. It begins by defining what a software process is - a framework for the activities required to build software. It then discusses evolutionary models like prototyping and the spiral model, which use iterative development and user feedback. Concurrent modeling is presented as allowing activities to occur simultaneously. The Unified Process is described as use case driven and iterative. Other models discussed include component-based development, formal methods, and aspect-oriented development. Personal and team software processes are also summarized, focusing on planning, metrics, and continuous improvement.
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.
The document discusses various topics related to software engineering including:
1. It defines software and describes attributes of good software such as functionality, maintainability, dependability, and usability.
2. It explains that software engineering is concerned with all aspects of software production, whereas computer science focuses more on theory and fundamentals.
3. Key attributes of good software are discussed including maintainability, dependability, efficiency, and acceptability.
4. Various software engineering models such as waterfall, prototyping, spiral, and agile models are briefly introduced.
Evolution of software; Characteristics of software; Software applications; Components of software; Software myths; Software problems; Software reuse; Overview of risk management; Process visibility; Professional responsibility.
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 an overview of software engineering concepts including different types of software, software classification, software attributes, and common software development process models. It describes system software and application software, and distinguishes between generic/off-the-shelf software and custom software. Popular process models covered include waterfall, prototyping, and rapid application development (RAD). The waterfall model and its stages are explained in detail.
Similar to process models- software engineering (20)
The document provides details about an internship at PRECOT MERIDIAN Ltd. It summarizes the company's history and products. The main software used are SAP and FOXPRO. SAP is used extensively across production, quality control, accounts, maintenance, and HR departments to manage operations and integrate data. FOXPRO is used for salary and attendance management. The internship gave the author experience in various skills like testing methods, teamwork, communication, and time management.
The document contains code for several C++ programs that demonstrate different programming concepts:
1) A program that displays the multiplication table for a given number using a for loop and formatting.
2) A program that defines a class to add two numbers and demonstrates calling member functions.
3) A program that checks if a string is a palindrome by reversing the string and comparing it to the original.
4) A program that implements a stack using a class with push, pop and display functions. It demonstrates using the stack through a menu-driven program.
The document discusses the architecture of the 8085 microprocessor. It describes the various units that make up the 8085 architecture including the accumulator, arithmetic logic unit, general purpose registers, program counter, stack pointer, temporary register, flags, instruction register and decoder, timing and control unit, interrupt control, and serial I/O control. It provides details on each of these units and how they work together to allow the 8085 microprocessor to function.
This document provides information about implementing and using Remote Method Invocation (RMI) in Java. It describes how RMI allows objects in one Java Virtual Machine (JVM) to invoke methods on objects residing in another JVM, even on different computers. It discusses how RMI handles class loading and updates dynamically. It then explains how RMI works under the hood using stub and skeleton objects to marshal parameters and return values across the network. The document provides steps for writing an RMI program and includes a full code example of an RMI service that calculates powers and its client.
The SELECT statement retrieves data from database tables, views, or materialized views. It consists of a query with optional clauses like WHERE, GROUP BY, HAVING, ORDER BY, and FOR UPDATE. The SELECT statement returns a result set that can be iterated through using a cursor. To generate an updatable cursor, the SELECT statement must meet certain requirements like having a simple query with only one table and no aggregates.
- Bitcoin is a digital currency that operates on a peer-to-peer network without central authorities or banks. It was created in 2009 by an anonymous developer known as Satoshi Nakamoto.
- Transactions are recorded in a public ledger called the blockchain, and bitcoins are issued as a reward for processing transactions through mining. Users store bitcoins in digital wallets and can send and receive bitcoins for transactions.
- While Bitcoin provides advantages like low fees and financial freedom, it also faces challenges of market volatility and a need for wider acceptance to benefit from network effects. Development of Bitcoin software and services is ongoing as the currency continues to mature.
3. SoftwareProcess
• A framework for the activities, actions, and
tasks that are required to build high-quality
software.
• SP defines the approach that is taken as
software is engineered.
• Is not equal to software engineering, which
also encompasses technologies that
populate the process– technical methods
and automated tools.
4. A ProcessGenericModel
As we discussed before, a generic process
framework for software engineering defines
five framework activities-communication,
planning, modeling, construction, and
deployment.
5. In addition, a set of umbrella activities-
project tracking and control, risk
management, quality assurance,
configuration management, technical
reviews, and others are applied throughout
the process.
6. Processflow
Linear process flow executes each of the five
activities in sequence.
An iterative process flow repeats one or
more of the activities before proceeding to
the next.
7. An evolutionary process flow executes the
activities in a circular manner. Each circuit
leads to a more complete version of the
software.
A parallel process flow executes one or
more activities in parallel with other
activities ( modeling for one aspect of the
software in parallel with construction of
another aspect of the software.
8. Identifyinga Task Set
Before you can proceed with the process
model, a key question: what actions are
appropriate for a framework activity given
the nature of the problem, the
characteristics of the people and the
stakeholders?
A task set defines the actual work to be done
to accomplish the objectives of a software
engineering action.
A list of the task to be accomplished
A list of the work products to be
produced
A list of the quality assurance filters to
be applied.
9. For example, a small software project
requested by one person with simple
requirements, the communication activity
might encompass little more than a phone
all with the stakeholder. Therefore, the only
necessary action is phone conversation, the
work tasks of this action are:
1. Make contact with stakeholder via
telephone.
2. Discuss requirements and take notes.
3. Organize notes into a brief written
statement of requirements.
4. E-mail to stakeholder for review and
approval.
Example for identifying a task:
10. The task sets for Requirements gathering
action for a simple project may include:
1.Make a list of stakeholders for the
project.
2. Invite all stakeholders to an informal
meeting.
3. Ask each stakeholder to make a list
of features and functions required.
4. Discuss requirements and build a
final list.
5.Prioritize requirements.
6. Note areas of uncertainty.
11. SoftwareProcessModelDescription:
• A software process model is an abstract
representation of a process. It presents a
description of a process.
• When we describe and discuss processes, we
usually talk about the activities in these
processes such as specifying a data model,
designing a user interface, etc. and the
ordering of these activities.
• Process descriptions may also include:
– Products, which are the outcomes of a
process activity;
– Roles, which reflect the responsibilities
of the people involved in the process;
– Pre- and post-conditions, which are
statements that are true before and after
a process activity has been enacted or a
product produced.
– Notation: activities, products
12.
13. The WaterFallModel
l Requirements analysis and definition
l System and software design
l Implementation and unit testing
l Integration and system testing
l Operation and maintenance
The main drawback of the waterfall model is the
difficulty of accommodating change after the
14. process is underway. One phase has to be
complete before moving onto the next phase
Waterfallmodelproblems:
Inflexible partitioning of the project into
distinct stages makes it difficult to respond
to changing customer requirements.
Therefore, this model is only appropriate
when the requirements are well-understood
and changes will be fairly limited during the
design process.
Few business systems have stable
requirements.
The waterfall model is mostly used for large
systems engineering projects where a
system is developed at several sites.
The IncrementalModel
15. • When initial requirements are reasonably
well defined, but the overall scope of the
development effort precludes a purely linear
process. A compelling need to expand a
limited set of new functions to a later
system release.
16. • It combines elements of linear and parallel
process flows. Each linear sequence
produces deliverable increments of the
software.
• The first increment is often a core product
with many supplementary features. Users
use it and evaluate it with more
modifications to better meet the needs.
V-Model
17. A variation of waterfall model depicts the
relationship of quality assurance actions to the
actions associated with communication,
modeling and early code construction activates.
Team first moves down the left side of the V to
refine the problem requirements. Once code is
generated, the team moves up the right side of
18. the V, performing a series of tests that validate
each of the models created as the team moved
down the left side.
19. Evolutionary Models:
Prototyping:
• When to use: Customer defines a set of
general objectives but does not identify
detailed requirements for functions and
features. Or Developer may be unsure of the
efficiency of an algorithm, the form that
human computer interaction should take.
• What step: Begins with communication by
meeting with stakeholders to define the
objective, identify whatever requirements
are known, outline areas where further
definition is mandatory. A quick plan for
prototyping and modeling (quick design)
occur. Quick design focuses on a
representation of those aspects the software
that will be visible to end users. ( interface
and output). Design leads to the
construction of a prototype which will be
20. deployed and evaluated. Stakeholder’s
comments will be used to refine
requirements.
• Both stakeholders and software engineers
like the prototyping paradigm. Users get a
feel for the actual system, and developers
get to build something immediately.
However, engineers may make
compromises in order to get a prototype
working quickly. The less-than-ideal choice
may be adopted forever after you get used to
it.
21. 2) Spiral
• It couples the iterative nature of prototyping
with the controlled and systematic aspects
of the waterfall model and is a risk-driven
process model generator that is used to
22. guide multi-stakeholder concurrent
engineering of software intensive systems.
• Two main distinguishing features: one is
cyclic approach for incrementally growing a
system’s degree of definition and
implementation while decreasing its degree
of risk. The other is a set of anchor point
milestones for ensuring stakeholder
commitment to feasible and mutually
satisfactory system solutions.
23. • A series of evolutionary releases are
delivered. During the early iterations, the
release might be a model or prototype.
During later iterations, increasingly more
complete version of the engineered system
are produced.
• The first circuit in the clockwise direction
might result in the product specification;
subsequent passes around the spiral might
be used to develop a prototype and then
progressively more sophisticated versions of
the software. Each pass results in
adjustments to the project plan. Cost and
schedule are adjusted based on feedback.
Also, the number of iterations will be
adjusted by project manager.
• Good to develop large-scale system as
software evolves as the process progresses
and risk should be understood and properly
reacted to. Prototyping is used to reduce
risk.
24. • However, it may be difficult to convince
customers that it is controllable as it
demands considerable risk assessment
expertise.
StillOtherProcessModels
• Component based development—the
process to apply when reuse is a
development objective ( like spiral model)
25. • Formal methods—emphasizes the
mathematical specification of requirements
( easy to discover and eliminate ambiguity,
incompleteness and inconsistency)
• Aspect Oriented software development
(AOSD)—provides a process and
methodological approach for defining,
specifying, designing, and constructing
aspects
• Unified Process—a “use-case driven,
architecture-centric, iterative and
incremental” software process closely
aligned with the Unified Modeling Language
(UML) to model and develop object-
oriented system iteratively and
incrementally.
The Unified Process (UP):
26.
27. UP Work Products:
Personal Software Process:
• Planning. This activity isolates
requirements and develops both size and
resource estimates. In addition, a defect
estimate (the number of defects projected
for the work) is made. All metrics are
recorded on worksheets or templates.
28. Finally, development tasks are identified
and a project schedule is created.
• High-level design. External
specifications for each component to be
constructed are developed and a component
design is created. Prototypes are built when
uncertainty exists. All issues are recorded
and tracked.
• High-level design review. Formal
verification methods (Chapter 21) are
applied to uncover errors in the design.
Metrics are maintained for all important
tasks and work results.
• Development. The component level
design is refined and reviewed. Code is
generated, reviewed, compiled, and tested.
Metrics are maintained for all important
tasks and work results.
• Postmortem. Using the measures and
metrics collected (this is a substantial
amount of data that should be analyzed
29. statistically), the effectiveness of the process
is determined. Measures and metrics should
provide guidance for modifying the process
to improve its effectiveness.
Team Software Process (TSP):
Build self-directed teams that plan and
track their work, establish goals, and own
their processes and plans. These can be pure
software teams or integrated product teams
(IPT) of three to about 20 engineers.
Show managers how to coach and motivate
their teams and how to help them sustain
peak performance.
Accelerate software process improvement
by making CMM Level 5 behavior normal
and expected.
The Capability Maturity Model (CMM),
a measure of the effectiveness of a
30. software process, is discussed in Chapter
30.
Provide improvement guidance to high-
maturity organizations.
Facilitate university teaching of industrial-
grade team skills.