Testing is the process of identifying bugs and ensuring software meets requirements. It involves executing programs under different conditions to check specification, functionality, and performance. The objectives of testing are to uncover errors, demonstrate requirements are met, and validate quality with minimal cost. Testing follows a life cycle including planning, design, execution, and reporting. Different methodologies like black box and white box testing are used at various levels from unit to system. The overall goal is to perform effective testing to deliver high quality software.
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.
The document discusses various software process models including prescriptive models like waterfall model and incremental process model. It also covers evolutionary models like prototyping and spiral process model. Specialized models covered are component based development, formal methods model, aspect oriented development and unified process model. The key highlights are that different models are suited for different situations based on project needs and each model has advantages and disadvantages to consider.
This ppt covers the following
A strategic approach to testing
Test strategies for conventional software
Test strategies for object-oriented software
Validation testing
System testing
The art of debugging
The document discusses different software development life cycle (SDLC) models including waterfall, spiral/iterative, and agile. It provides an overview of each model's phases and when they are best applied. The waterfall model follows sequential phases from requirements to maintenance. The spiral model is risk-driven and iterative. The agile model emphasizes speed, reduced documentation, and frequent customer feedback through shorter development cycles. SDLC models provide structure, standard processes and deliverables to software development projects.
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.
The document discusses different types of software metrics that can be used to measure various aspects of software development. Process metrics measure attributes of the development process, while product metrics measure attributes of the software product. Project metrics are used to monitor and control software projects. Metrics need to be normalized to allow for comparison between different projects or teams. This can be done using size-oriented metrics that relate measures to the size of the software, or function-oriented metrics that relate measures to the functionality delivered.
This document provides an overview of software testing concepts and definitions. It discusses key topics such as software quality, testing methods like static and dynamic testing, testing levels from unit to acceptance testing, and testing types including functional, non-functional, regression and security testing. The document is intended as an introduction to software testing principles and terminology.
Testing is the process of identifying bugs and ensuring software meets requirements. It involves executing programs under different conditions to check specification, functionality, and performance. The objectives of testing are to uncover errors, demonstrate requirements are met, and validate quality with minimal cost. Testing follows a life cycle including planning, design, execution, and reporting. Different methodologies like black box and white box testing are used at various levels from unit to system. The overall goal is to perform effective testing to deliver high quality software.
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.
The document discusses various software process models including prescriptive models like waterfall model and incremental process model. It also covers evolutionary models like prototyping and spiral process model. Specialized models covered are component based development, formal methods model, aspect oriented development and unified process model. The key highlights are that different models are suited for different situations based on project needs and each model has advantages and disadvantages to consider.
This ppt covers the following
A strategic approach to testing
Test strategies for conventional software
Test strategies for object-oriented software
Validation testing
System testing
The art of debugging
The document discusses different software development life cycle (SDLC) models including waterfall, spiral/iterative, and agile. It provides an overview of each model's phases and when they are best applied. The waterfall model follows sequential phases from requirements to maintenance. The spiral model is risk-driven and iterative. The agile model emphasizes speed, reduced documentation, and frequent customer feedback through shorter development cycles. SDLC models provide structure, standard processes and deliverables to software development projects.
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.
The document discusses different types of software metrics that can be used to measure various aspects of software development. Process metrics measure attributes of the development process, while product metrics measure attributes of the software product. Project metrics are used to monitor and control software projects. Metrics need to be normalized to allow for comparison between different projects or teams. This can be done using size-oriented metrics that relate measures to the size of the software, or function-oriented metrics that relate measures to the functionality delivered.
This document provides an overview of software testing concepts and definitions. It discusses key topics such as software quality, testing methods like static and dynamic testing, testing levels from unit to acceptance testing, and testing types including functional, non-functional, regression and security testing. The document is intended as an introduction to software testing principles and terminology.
The document discusses component-based software engineering and defines a software component. A component is a modular building block defined by interfaces that can be independently deployed. Components are standardized, independent, composable, deployable, and documented. They communicate through interfaces and are designed to achieve reusability. The document outlines characteristics of components and discusses different views of components, including object-oriented, conventional, and process-related views. It also covers topics like component-level design principles, packaging, cohesion, and coupling.
This Presentation contains all the topics in design concept of software engineering. This is much more helpful in designing new product. You have to consider some of the design concepts that are given in the ppt
This document discusses software reverse engineering. It defines reverse engineering as extracting knowledge or design information from a man-made system to recreate it at a higher level of abstraction. For software, reverse engineering analyzes a system to understand its design and implementation. It is used to recover lost information, assist with maintenance, enable reuse, and discover flaws. Reverse engineering tools include disassemblers, debuggers, and decompilers. The process involves system and code level analysis to document designs, components, and algorithms from binary code. While it faces limitations like legality issues and missing information, reverse engineering provides important benefits for software development and security analysis.
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 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.
Architecture design in software engineeringPreeti Mishra
The document discusses software architectural design. It defines architecture as the structure of a system's components, their relationships, and properties. An architectural design model is transferable across different systems. The architecture enables analysis of design requirements and consideration of alternatives early in development. It represents the system in an intellectually graspable way. Common architectural styles structure systems and their components in different ways, such as data-centered, data flow, and call-and-return styles.
This lecture is about the detail definition of software quality and quality assurance. Provide details about software tesing and its types. Clear the basic concepts of software quality and software testing.
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.
The document discusses the software design process. It begins by explaining that software design is an iterative process that translates requirements into a blueprint for constructing the software. It then describes the main steps and outputs of the design process, which include transforming specifications into design models, reviewing designs for quality, and producing a design document. The document also covers key concepts in software design like abstraction, architecture, patterns, modularity, and information hiding.
This document discusses the process of algorithm design and analysis. It outlines 9 key techniques for solving problems algorithmically: 1) Understanding the problem, 2) Ascertaining computational capabilities, 3) Determining exact or approximate solutions, 4) Choosing appropriate data structures, 5) Using algorithm design techniques, 6) Specifying the algorithm, 7) Proving correctness, 8) Analyzing efficiency, and 9) Coding the algorithm. These techniques provide a systematic approach to developing procedural solutions to problems through specific instructions to obtain answers.
The incremental model is a software development method where the product is designed, implemented, and tested incrementally in builds until completion. Each module passes through requirements, design, implementation, and testing individually. Subsequent releases of modules add functionality to previous releases until the full system is achieved. The incremental model generates working software early and allows customer feedback at each build. It is also flexible, lowers initial costs, and easier to test and manage risks. However, it requires good upfront planning and design and has a higher total cost than waterfall. The incremental model is well-suited for web applications and when major requirements are defined but details may evolve.
Software Engineering Layered Technology Software Process FrameworkJAINAM KAPADIYA
Software engineering is the application of engineering principles to software development to obtain economical and quality software. It is a layered technology with a focus on quality. The foundation is the software process, which provides a framework of activities. This includes common activities like communication, modeling, planning, construction, and deployment. Additional umbrella activities support the process, such as quality assurance, configuration management, and risk management.
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.
This Presentation shows That what is Agile methodology, its principles and key points and how it is different from other software development life cycle.
The document discusses compilers and their role in translating high-level programming languages into machine-readable code. It notes that compilers perform several key functions: lexical analysis, syntax analysis, generation of an intermediate representation, optimization of the intermediate code, and finally generation of assembly or machine code. The compiler allows programmers to write code in a high-level language that is easier for humans while still producing efficient low-level code that computers can execute.
The document provides an introduction to software engineering and discusses key concepts such as:
1) Software is defined as a set of instructions that provide desired features, functions, and performance when executed and includes programs, data, and documentation.
2) Software engineering applies scientific knowledge and engineering principles to the development of reliable and efficient software within time and budget constraints.
3) The software development life cycle (SDLC) involves analysis, design, implementation, and documentation phases to systematically develop high quality software that meets requirements.
Software development process models
Rapid Application Development (RAD) Model
Evolutionary Process Models
Spiral Model
THE FORMAL METHODS MODEL
Specialized Process Models
The Concurrent Development Model
The document discusses formal approaches to software quality assurance (SQA). It states that SQA can be improved through software engineering practices like technical reviews, multi-tiered testing, controlling work products and changes, and following standards. It also argues that a more rigorous mathematical approach is needed for SQA since programs can be viewed as mathematical objects with rigorous syntax and semantics defined for languages, allowing proofs of correctness.
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.
This document provides an introduction to software engineering. It discusses how software engineering is concerned with the development and maintenance of software through professional practices and methods. It notes that software costs, especially maintenance costs, are a large part of overall system costs. The document then discusses different types of software products and specifications, as well as frequently asked questions about software engineering. It emphasizes that software engineering principles should be applied to all types of software development.
This document discusses software coding standards and guidelines. It explains that coding standards provide rules for writing consistent, robust code that is easily understood. Coding transforms a system design into code and tests the code. Standards help ensure maintainability, adding new features, clean coding, and fewer errors. The document provides examples of coding standards like limiting global variables and naming conventions. It also discusses code reviews to find logical errors and oversights, as well as the importance of documentation for requirements, architecture, code, manuals, and marketing.
The document discusses coding guidelines and best practices for software development. It covers topics like coding standards, programming practices, documentation, and code verification techniques. The key points are that coding follows design, modules should be independently coded and tested, documentation is important, and reviews/testing help verify code quality.
The document discusses component-based software engineering and defines a software component. A component is a modular building block defined by interfaces that can be independently deployed. Components are standardized, independent, composable, deployable, and documented. They communicate through interfaces and are designed to achieve reusability. The document outlines characteristics of components and discusses different views of components, including object-oriented, conventional, and process-related views. It also covers topics like component-level design principles, packaging, cohesion, and coupling.
This Presentation contains all the topics in design concept of software engineering. This is much more helpful in designing new product. You have to consider some of the design concepts that are given in the ppt
This document discusses software reverse engineering. It defines reverse engineering as extracting knowledge or design information from a man-made system to recreate it at a higher level of abstraction. For software, reverse engineering analyzes a system to understand its design and implementation. It is used to recover lost information, assist with maintenance, enable reuse, and discover flaws. Reverse engineering tools include disassemblers, debuggers, and decompilers. The process involves system and code level analysis to document designs, components, and algorithms from binary code. While it faces limitations like legality issues and missing information, reverse engineering provides important benefits for software development and security analysis.
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 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.
Architecture design in software engineeringPreeti Mishra
The document discusses software architectural design. It defines architecture as the structure of a system's components, their relationships, and properties. An architectural design model is transferable across different systems. The architecture enables analysis of design requirements and consideration of alternatives early in development. It represents the system in an intellectually graspable way. Common architectural styles structure systems and their components in different ways, such as data-centered, data flow, and call-and-return styles.
This lecture is about the detail definition of software quality and quality assurance. Provide details about software tesing and its types. Clear the basic concepts of software quality and software testing.
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.
The document discusses the software design process. It begins by explaining that software design is an iterative process that translates requirements into a blueprint for constructing the software. It then describes the main steps and outputs of the design process, which include transforming specifications into design models, reviewing designs for quality, and producing a design document. The document also covers key concepts in software design like abstraction, architecture, patterns, modularity, and information hiding.
This document discusses the process of algorithm design and analysis. It outlines 9 key techniques for solving problems algorithmically: 1) Understanding the problem, 2) Ascertaining computational capabilities, 3) Determining exact or approximate solutions, 4) Choosing appropriate data structures, 5) Using algorithm design techniques, 6) Specifying the algorithm, 7) Proving correctness, 8) Analyzing efficiency, and 9) Coding the algorithm. These techniques provide a systematic approach to developing procedural solutions to problems through specific instructions to obtain answers.
The incremental model is a software development method where the product is designed, implemented, and tested incrementally in builds until completion. Each module passes through requirements, design, implementation, and testing individually. Subsequent releases of modules add functionality to previous releases until the full system is achieved. The incremental model generates working software early and allows customer feedback at each build. It is also flexible, lowers initial costs, and easier to test and manage risks. However, it requires good upfront planning and design and has a higher total cost than waterfall. The incremental model is well-suited for web applications and when major requirements are defined but details may evolve.
Software Engineering Layered Technology Software Process FrameworkJAINAM KAPADIYA
Software engineering is the application of engineering principles to software development to obtain economical and quality software. It is a layered technology with a focus on quality. The foundation is the software process, which provides a framework of activities. This includes common activities like communication, modeling, planning, construction, and deployment. Additional umbrella activities support the process, such as quality assurance, configuration management, and risk management.
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.
This Presentation shows That what is Agile methodology, its principles and key points and how it is different from other software development life cycle.
The document discusses compilers and their role in translating high-level programming languages into machine-readable code. It notes that compilers perform several key functions: lexical analysis, syntax analysis, generation of an intermediate representation, optimization of the intermediate code, and finally generation of assembly or machine code. The compiler allows programmers to write code in a high-level language that is easier for humans while still producing efficient low-level code that computers can execute.
The document provides an introduction to software engineering and discusses key concepts such as:
1) Software is defined as a set of instructions that provide desired features, functions, and performance when executed and includes programs, data, and documentation.
2) Software engineering applies scientific knowledge and engineering principles to the development of reliable and efficient software within time and budget constraints.
3) The software development life cycle (SDLC) involves analysis, design, implementation, and documentation phases to systematically develop high quality software that meets requirements.
Software development process models
Rapid Application Development (RAD) Model
Evolutionary Process Models
Spiral Model
THE FORMAL METHODS MODEL
Specialized Process Models
The Concurrent Development Model
The document discusses formal approaches to software quality assurance (SQA). It states that SQA can be improved through software engineering practices like technical reviews, multi-tiered testing, controlling work products and changes, and following standards. It also argues that a more rigorous mathematical approach is needed for SQA since programs can be viewed as mathematical objects with rigorous syntax and semantics defined for languages, allowing proofs of correctness.
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.
This document provides an introduction to software engineering. It discusses how software engineering is concerned with the development and maintenance of software through professional practices and methods. It notes that software costs, especially maintenance costs, are a large part of overall system costs. The document then discusses different types of software products and specifications, as well as frequently asked questions about software engineering. It emphasizes that software engineering principles should be applied to all types of software development.
This document discusses software coding standards and guidelines. It explains that coding standards provide rules for writing consistent, robust code that is easily understood. Coding transforms a system design into code and tests the code. Standards help ensure maintainability, adding new features, clean coding, and fewer errors. The document provides examples of coding standards like limiting global variables and naming conventions. It also discusses code reviews to find logical errors and oversights, as well as the importance of documentation for requirements, architecture, code, manuals, and marketing.
The document discusses coding guidelines and best practices for software development. It covers topics like coding standards, programming practices, documentation, and code verification techniques. The key points are that coding follows design, modules should be independently coded and tested, documentation is important, and reviews/testing help verify code quality.
1. The document discusses software quality and reliability in engineering. It defines quality as software being bug-free, on time, meeting requirements, and maintainable. Reliability is the probability of failure-free operation over time in a given environment.
2. Ensuring quality involves preventing and detecting faults during all phases of the software development life cycle from requirements to testing. The V-model helps achieve quality by involving testers early on.
3. Reliability focuses on avoiding faults during design and detecting problems during all phases through techniques like fault tolerance, forecasting, and measuring metrics like MTBF.
Function Point Analysis & Cocomo. Two main estimation methods for structured and object oriented methodology estimations. Cocomo is widely used in estimating where Rational Unified Process is followed.
Software reliability is defined as the probability of failure-free operation of software over a specified time period and environment. Key factors influencing reliability include fault count, which is impacted by code size/complexity and development processes, and operational profile, which describes how users operate the system. Software reliability methodologies aim to improve dependability through fault avoidance, tolerance, removal, and forecasting, with the latter using models to predict reliability mathematically based on factors like time between failures or failure counts.
Quality, quality concepts
Software Quality Assurance
Software Reviews
Formal Technical Reviews
SQA Group Plan
ISO 9000, 9001
Example
Internal and external attributes
COCOMO I is a software cost estimation model published in 1981 by Barry Boehm. It uses a waterfall lifecycle approach and estimates development effort as a function of program size (measured in KDSI) and 15 cost drivers. The model has three levels - basic, intermediate, and detailed - with the detailed version incorporating impacts on each development phase. While transparent, it is difficult to accurately estimate size early on and vulnerable to misclassifying development mode. Success relies on tuning the model using organizational historical data.
This document provides an introduction to software engineering. It discusses how software serves both as a product that delivers computing potential and as a vehicle for delivering other products. The document defines what constitutes software and discusses different types of software applications. It also covers software engineering practices, including communication, planning, analysis and design modeling, construction, and principles related to each practice. Overall, the document gives a high-level overview of key concepts in software engineering.
The document discusses key concepts in software quality including:
1) The relationships between software errors, faults, and failures and their causes during development.
2) The importance of software quality and quality assurance objectives like defect prevention and removal.
3) Quality assurance techniques like verification, validation, inspections, testing and standards to evaluate conformance.
4) How quality is managed through metrics, process engineering, and cost controls.
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.
ISO 9000 is a family of standards that provides a framework for quality management systems. ISO 9001:2008 provides standardized requirements for quality management systems that can be applied to organizations of any size or industry. It works by laying out requirements for quality systems but allowing flexibility in how organizations implement them. Organizations check that their quality system is working effectively through internal audits, client audits, and certification by independent bodies. The standards are based on eight quality management principles including customer focus, leadership, and continual improvement.
The document discusses software quality management and outlines five units: introduction to software quality; software quality assurance; quality control and reliability; quality management systems; and quality standards. It defines quality, discusses hierarchical models of quality including those proposed by Boehm and McCall, and explains techniques for improving software quality like metrics, reviews, and standards.
The COCOMO model is a widely used software cost estimation model developed by Barry Boehm in 1981. It predicts effort, schedule, and staffing needs based on project size and characteristics. The Basic COCOMO model uses three development modes (Organic, Semidetached, Embedded) and a simple formula to estimate effort and schedule based on thousands of delivered source instructions. However, its accuracy is limited as it does not account for various project attributes known to influence costs. Function Point Analysis is an alternative size measurement that counts different types of system functions and complexity factors to estimate effort and cost.
The document discusses software reliability and reliability growth models. It defines software reliability and differentiates it from hardware reliability. It also describes some commonly used software reliability growth models like Musa's basic and logarithmic models. These models make assumptions about fault removal over time to predict how failure rates will change as testing progresses. The key challenges with models are uncertainty and accurately estimating their parameters.
The document discusses software quality assurance (SQA) and defines key terms related to quality. It describes SQA as encompassing quality management, software engineering processes, formal reviews, testing strategies, documentation control, and compliance with standards. Specific SQA activities mentioned include developing an SQA plan, participating in process development, auditing work products, and ensuring deviations are addressed. The document also discusses software reviews, inspections, reliability, and the reliability specification process.
Coding and testing in Software EngineeringAbhay Vijay
The document discusses various aspects of software engineering coding practices. It describes the coding phase where design is transformed into code and tested. It emphasizes the importance of coding standards and guidelines to ensure uniform and understandable code. It also discusses code review, documentation, testing approaches like black box and white box testing, and the objectives of testing.
ISO 9000 is a family of standards related to quality management systems and procedures. It helps organizations ensure they meet customer and stakeholder needs while complying with legal requirements. The standards are based on eight quality management principles including customer focus, leadership, and continual improvement. ISO 9000 deals with quality management fundamentals, while ISO 9001 provides requirements for quality assurance in design and manufacturing. Implementing an ISO-certified quality management system helps organizations improve quality, meet regulations, and increase market credibility.
The document describes an online railway reservation system project submitted by students. It discusses software engineering principles and methods used to develop the system. It includes UML diagrams like use case, class, sequence, and activity diagrams that were created as part of the analysis and design of the system. It also describes testing done on the project in the form of alpha testing.
The COCOMO model estimates the effort required for software projects in terms of person-months. It exists in three forms - basic, intermediate, and advanced. The basic model computes effort as a function of lines of code, while the intermediate model considers additional cost drivers like product attributes, hardware attributes, personal attributes, and project attributes. These attributes receive ratings that adjust the effort multiplier. The advanced COCOMO is an empirically derived model that requires extensive parameter calibration. All forms provide estimates of effort, schedule, and staff required for a software project.
This document provides an overview of software testing concepts and processes. It discusses the importance of testing in the software development lifecycle and defines key terms like errors, bugs, faults, and failures. It also describes different types of testing like unit testing, integration testing, system testing, and acceptance testing. Finally, it covers quality assurance and quality control processes and how bugs are managed throughout their lifecycle.
CASE (COMPUTER AIDED SOFTWARE ENGINEERING)
CASE and its Scope
CASE support in software life cycle documentation
project management
Internal Interface
Reverse Software Engineering
Architecture of CASE environment.
CASE tools stand for Computer Aided Software Engineering tools. They are computer programs that help software engineers and analysts during the development process. CASE tools can generate diagrams, perform consistency checks between models, and integrate development across phases of the software lifecycle. They aim to improve productivity, quality, and management of the software development process.
Case tools and modern process of system development tushar217
This document provides an overview of CASE (Computer Aided Software Engineering) tools and modern processes for system development. It discusses the architecture, types (upper, lower, integrated), components and benefits of CASE tools. Some common modern development processes described include Joint Application Design, Rapid Application Development, Agile methodologies, eXtreme Programming, Object-Oriented Analysis and Design, and the Rational Unified Process.
CASE tools are programs that automate and support various phases of the software development life cycle. They include components like a central repository to store diagrams and reports, diagramming tools, documentation tools, and code generation tools. CASE tools can improve software quality, reduce errors, standardize processes, and speed up development times. Some examples of CASE tools include programming tools, documentation tools, diagramming tools, and requirement tracing tools.
CASE (Computer Aided Software Engineering) tools automate activities across the software development lifecycle. They include upper case tools that support analysis and design, lower case tools that support coding, and integrated tools that support all phases. CASE tools play major roles in project management, data modeling, documentation generation, version control, and more. They provide advantages like improved quality, productivity, and cost savings through automation and consistency across the development process.
computer assisted auditing techniques helps auditor to enhance the effectiveness and efficiency of audit.
very useful tool for auditors.
Refers to the use of technology for increasing the effectiveness and efficiency of Auditing.
CAATs are not specialist tool designed for use but are common techniques which can be easily mastered to audit in computerized environment.
A good understanding of CAATs and know where to apply them is key to success
Capable of reading different records formats and file structures i.e. file access.
Contains features of indexing, sorting, merging, linking with other identified files i.e. file reorganization.
Involves using of global filter conditions to select required data based on specified criteria i.e. data selection.
For intelligent analysis of data contains features of sampling, stratification and frequency analysis i.e. statistical functions.
Contains functions involving use of arithmetic operations i.e. arithmetical functions
How to Automate your Enterprise Application / ERP TestingRTTS
This document discusses automating enterprise application and data warehouse testing using QuerySurge. It begins with an introduction to QuerySurge and its modules for automating data interface testing. These modules allow testing across different data sources with no coding required. The document then covers data maturity models and how QuerySurge can help improve testing processes. It demonstrates how QuerySurge can automate testing to gain full coverage while decreasing testing time. In conclusion, it discusses how QuerySurge provides value through increased testing efficiency and data quality.
The document provides an overview of what software is and key concepts in software engineering. It defines software as computer programs that provide desired features and functions, as well as data structures that enable programs to manipulate information. Software engineering is described as the application of engineering principles and processes to obtain reliable and efficient software. Different software process models are discussed, including the waterfall model, incremental process model, prototyping model, and spiral model. The document also covers software characteristics, domains, engineering principles, and common myths about software development.
This document provides a summary of Ayaz Qureshi's qualifications and experience as a Software QA Test Automation Engineer. It includes over 10 years of experience in software testing, test automation, performance testing, and working with various testing tools like Selenium, JMeter, LoadRunner, Quality Center, and Quick Test Professional. Ayaz has extensive experience in test automation including developing frameworks, designing and executing test cases, defect tracking, and working in agile environments. He is proficient in languages like Java, VBScript, and tools like SQL Server, Oracle, and Linux/Unix.
CASE tools are computer-based tools that support various stages of the software development lifecycle. They allow for modeling systems using diagrams, documentation generation, code production, and more. Popular CASE tools support requirements analysis, design, programming, project management, testing and maintenance. While CASE tools aim to improve quality, productivity and standardization, their success depends on proper methodology, organization, goals, and integration into the development process. Benefits include faster development times, increased documentation and quality, and reduced maintenance costs over the long term.
2. Business Data Analytics and Technology.pptxnirmalanr2
This document discusses business data analytics and technology. It covers topics such as data categorization, data issues including quality and privacy, database management systems, data warehouses, data marts, data mining, text mining, web mining, and business analytics software tools. The goal is to provide an overview of how organizations can effectively collect, store, analyze and utilize data to make informed business decisions.
This document outlines an inventory management system project. It includes sections on objectives, technical specifications using HTML, PHP and databases, software used including Visual Studio Code and XAMPP, a 3-tier architecture, modules for inventory, services, customers etc., a use case diagram, debugging and testing, and future scope. The system allows adding, deleting and viewing inventory, services, customers and generating quotations and invoices for accounting.
Automated Tools For System Analysis and DesignAmit Kundu
This document discusses automated tools for system analysis and design (CASE). It contains the following key points:
1. CASE tools are used to support and automate activities throughout the system development lifecycle to increase productivity and quality.
2. CASE tools can improve quality, speed, testing, documentation and project management of systems being developed. However, widespread adoption has been slower than expected due to costs, return on investment timelines, and functionality bottlenecks.
3. The document outlines categories of CASE products and tools, including diagramming tools, form/report generators, analysis tools, repositories, documentation generators, and code generators to support the system development process.
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2. Intro CASE
•A CASE (Computer Aided Software Engineering) tool is a
generic term used to denote any form of automated
support for software engineering.
•A CASE tool means any tool used to automate some
activity associated with software development.
The primary reasons for using a CASE tool are:
• To increase productivity
• To help produce better quality software at lower cost
4. Components of CASE
•CASE repository
• Central component of any CASE tool
• Also known as the information repository or data
dictionary
5. Components of CASE
•CASE repository
• Centralized database
• Allows easy sharing of information between tools and
SDLC activities
• Used to store graphical diagrams and prototype forms
and reports during analysis and design workflows
• Provides wealth of information to project manager
and allows control over project
• Facilitates reusability
6. Components of CASE
•CASE repository acts as:
• Information repository
• Combines information about organization’s business
information and application portfolio
• Provides automated tools to manage and control access
• Data dictionary
• Used to manage and control access to information
repository
• Facilities for recording, storing and processing resources
• Useful for cross-referencing
7. Components of CASE
•Diagramming tools
• Allow you to represent a system and its components
visually
• Allows higher level processes to be easily decomposed
• Can examine processes or data models at high or low
level
8. Components of CASE
•Screen and report generators
• Used to
• Create, modify and test prototypes of computer displays and
reports
• Identify which data items to display or collect for each screen
or report
• Some tools have templates
9. Components of CASE
•Analysis tools
• Generate reports that help identify possible
inconsistencies, redundancies and omissions
• Generally focus on
• diagram completeness and consistency
• data structures and usage
10. Components of CASE
•CASE documentation generator tools
• Create standard reports based on contents of
repository
• Need textual descriptions of needs, solutions, trade-
offs, diagrams of data and processes, prototype
forms and reports, program specifications and user
documentation
• High-quality documentation leads to 80% reduction
in system maintenance effort in comparison to
average quality documentation
11. CASE integration
•Tools
• Support individual process tasks such as design
consistency checking, text editing, etc.
•Workbenches
• Support a process phase such as specification or design,
Normally include a number of integrated tools.
•Environments
• Support all or a substantial part of an entire software
process. Normally include several integrated
workbenches.
12. CASE Tools
• Upper CASE
• requirements
• specification
• planning
• design
• Lower CASE
• implementation
• integration
• maintenance
13. CASE Tool Taxonomy - 1
• Business process engineering tools
• represent business data objects, their relationships, and flow of
the data objects between company business areas
• Process modeling and management tools
• represent key elements of processes and provide links to other
tools that provide support to defined process activities
• Project planning tools
• used for cost and effort estimation, and project scheduling
14. CASE Tool Taxonomy - 2
•Risk analysis tools
• help project managers build risk tables by providing
detailed guidance in the identification and analysis of
risks
•Requirements tracing tools
• provide systematic database-like approach to tracking
requirement status beginning with specification
15. CASE Tool Taxonomy - 3
•Metrics and management tools
• management oriented tools capture project specific
metrics that provide an overall indication of productivity
or quality, technically oriented metrics determine metrics
that provide greater insight into the quality of design or
code
•Documentation tools
• provide opportunities for improved productivity by
reducing the amount of time needed to produce work
products
16. CASE Tool Taxonomy - 4
•System software tools
• network system software, object management services,
distributed component support, and communications
software
•Quality assurance tools
• metrics tools that audit source code to determine
compliance with language standards or tools that extract
metrics to project the quality of software being built
17. CASE Tool Taxonomy - 5
•Database management tools
• RDMS and OODMS serve as the foundation for the
establishment of the CASE repository
•Software configuration management tools
• uses the CASE repository to assist with all SCM tasks
(identification, version control, change control, auditing, status
accounting)
•Analysis and design tools
• enable the software engineer to create analysis and design
models of the system to be built, perform consistency checking
between models
18. CASE Tool Taxonomy - 6
•PRO/SIM tools
• prototyping and simulation tools provide software engineers
with ability to predict the behavior of real-time systems before
they are built and the creation of interface mockups for
customer review
•Interface design and development tools
• toolkits of interface components, often part environment with
a GUI to allow rapid prototyping of user interface designs
19. CASE Tool Taxonomy - 7
•Prototyping tools
• enable rapid definition of screen layouts, data design, and
report generation
•Programming tools
• compilers, editors, debuggers, OO programming environments,
fourth generation languages, graphical programming
environments, applications generators, and database query
generators
•Web development tools
• assist with the generation of web page text, graphics, forms,
scripts, applets, etc.
20. CASE Tool Taxonomy - 8
•Integration and testing tools
•data acquisition
• get data for testing
•static measurement
• analyze source code without using test cases
•dynamic measurement
• analyze source code during execution
•simulation
• simulate function of hardware and external devices
•test management
•cross-functional tools
21. CASE Tool Taxonomy - 9
•Static analysis tools
• code-based testing tools, specialized testing languages,
requirements-based testing tools
•Dynamic analysis tools
• intrusive tools modify source code by inserting probes to check
path coverage, assertions, or execution flow
• non-intrusive tools use a separate hardware processor running
in parallel with processor containing the program being tested
22. CASE Tool Taxonomy - 10
•Test management tools
• coordinate regression testing, compare actual and expected
output, conduct batch testing, and serve as generic test drivers
•Client/server testing tools
• exercise the GUI and network communications requirements for
the client and server
23. CASE Tool Taxonomy - 11
•Reengineering tools
•reverse engineering to specification tools
• generate analysis and design models from source code, where used
lists, and other design information
•code restructuring and analysis tools
• analyze program syntax, generate control flow graph, and automatically
generates a structured program
•on-line system reengineering tools
• used to modify on-line DBMS
Editor's Notes
CASE repository
Stores the diagrams and other project information
Keeps track of how the diagrams fit together
Diagramming tools
Allow you to draw DFDs, ERDs, use case diagrams, case diagrams
Allows you to use stepwise refinement in building models (work from high level to low level)
Analysis tools
Types of analyses depend on methodology used and features of CASE environment
Case documentation generator tools
Provide a method of managing documentation
Allow creation of master templates