McCall Software Quality Model in Software Quality Assurance
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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.
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This document discusses functional and non-functional requirements. Functional requirements describe the behavior of a system and support user goals, while non-functional requirements describe how the system works and make it more usable. Functional requirements should include data descriptions, screen operations, workflows, and access controls. Non-functional requirements should cover usability, reliability, performance, and supportability. Non-functional requirements are further classified into categories like process, delivery, implementation, and external constraints.
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BugRaptors provide Software testing is entirely about finding defects in applications, right? Apparently, this can be considered as the principal goal of all the QA practices. However, all the defects diverge from each other. It cannot be stated if some are more important than others, yet it’s possible to locate and fix them all.
The document discusses different methods for evaluating user interface designs, including expert evaluation techniques like heuristic evaluation and cognitive walkthroughs. It also covers user testing, which is considered more reliable than expert evaluation alone. Formative evaluation involves testing prototypes during development to identify issues, while summative evaluation assesses the final product. Both qualitative and quantitative methods are important to identify usability problems from the user's perspective.
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.
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.
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.
Agile development focuses on effective communication, customer collaboration, and incremental delivery of working software. The key principles of agile development according to the Agile Alliance include satisfying customers, welcoming changing requirements, frequent delivery, collaboration between business and development teams, and self-organizing teams. Extreme Programming (XP) is an agile process model that emphasizes planning with user stories, simple design, pair programming, unit testing, and frequent integration and testing.
The document discusses software requirements and specifications. It explains that requirements engineering is the process of establishing customer requirements for a system. Requirements can range from high-level abstract statements to detailed functional specifications. Both types of statements may be called requirements. The document also discusses different types of requirements like user requirements, system requirements, functional requirements, and non-functional requirements. It provides examples and explanations of each. The structure and intended users of a requirements document are also covered.
Software metrics can be used to measure various attributes of software products and processes. There are direct metrics that immediately measure attributes like lines of code and defects, and indirect metrics that measure less tangible aspects like functionality and reliability. Metrics are classified as product metrics, which measure attributes of the software product, and process metrics, which measure the software development process. Project metrics are used tactically within a project to track status, risks, and quality, while process metrics are used strategically for long-term process improvement. Common software quality attributes that can be measured include correctness, maintainability, integrity, and usability.
The V-model is a software development lifecycle framework where each phase of development (requirements, design, implementation, testing) has a corresponding testing phase that validates the product. The V-model is best for small to medium projects with clearly defined requirements, and allows testing activities to start early by planning tests before coding begins. Key phases include requirements analysis, system design, module design and coding, unit testing, integration testing, system testing, and user acceptance testing.
This document outlines various artifact sets produced during the software engineering process, including requirement, design, implementation, deployment, test, and management artifacts. It discusses the artifacts in each set and how they evolve over the software lifecycle. The key artifact sets are the requirement set containing the engineering context, the design set representing different abstraction levels, the implementation set with source code, and the deployment set for delivering the software to users. Test artifacts must also be developed concurrently and documented similarly. Management artifacts include documents for planning, tracking status and releases, and defining the development environment.
This document provides an overview of system modeling. It discusses that system modeling involves developing abstract models of a system from different perspectives, and is commonly done using the Unified Modeling Language (UML). It also describes various UML diagram types used in system modeling like use case diagrams, class diagrams, and state diagrams. Finally, it gives examples of modeling different views of a mental health case management system, including contextual models, interaction models, structural models, and behavioral models.
Software metrics are quantitative measures used to characterize aspects of software, like size, quality, and complexity. They are used for estimating costs and schedules, controlling projects, predicting quality, providing management information, and process improvement. There are three main categories of metrics: product metrics measure attributes of the software itself like size and reliability; process metrics assess the effectiveness of development processes; and project metrics help managers track project status, risks, and quality. Key roles of metrics include monitoring requirements, predicting resource needs, tracking processes, understanding maintenance costs, and improving software through measurement.
Coupling refers to the interdependence between software modules. There are several types of coupling from loose to tight, with the tightest being content coupling where one module relies on the internal workings of another. Cohesion measures how strongly related the functionality within a module is, ranging from coincidental to functional cohesion which is the strongest. Tight coupling and low cohesion can make software harder to maintain and reuse modules.
This document discusses software quality factors and McCall's model of quality factors. It describes McCall's model which categorizes quality factors into three categories: product operation factors related to how well the software runs, product revision factors related to how easily the software can be changed and tested, and product transition factors related to moving the software to different environments. Under each category it provides examples of specific quality factors like correctness, reliability, maintainability, and portability. It also mentions some alternative models that suggest additional quality factors.
This lecture provide a detail concepts of user interface development design and evaluation. This lecture have complete guideline toward UI development. The interesting thing about this lecture is Software User Interface Design trends.
These slides discuss software testing strategies and accompany the textbook "Software Engineering: A Practitioner's Approach". They cover topics like the definition of testing, the strategic approach to testing, verification vs validation, unit testing, integration testing strategies, regression testing, smoke testing, and testing for object-oriented software. The overall purpose of the slides is to outline best practices and approaches for effectively testing software at various stages from the module level to full system integration and validation.
This document provides course materials for the subject of Software Quality Management taught in the 8th semester of the Computer Science and Engineering department at A.V.C. College of Engineering in Mannampandal, India. It includes the syllabus, course objectives, textbook information, and an introductory section on fundamentals of software quality covering topics like hierarchical quality models, quality measurement, and metrics.
Software testing is an important phase of the software development process that evaluates the functionality and quality of a software application. It involves executing a program or system with the intent of finding errors. Some key points:
- Software testing is needed to identify defects, ensure customer satisfaction, and deliver high quality products with lower maintenance costs.
- It is important for different stakeholders like developers, testers, managers, and end users to work together throughout the testing process.
- There are various types of testing like unit testing, integration testing, system testing, and different methodologies like manual and automated testing. Proper documentation is also important.
- Testing helps improve the overall quality of software but can never prove that there
Design principles & quality factorsAalia Barbe
The document discusses McCall's quality factors model for classifying software quality requirements. It describes the three categories in McCall's model - product operation factors, product revision factors, and product transition factors. Under each category, it lists and describes the specific quality factors, including correctness, reliability, efficiency, integrity, usability, maintainability, flexibility, testability, portability, reusability, and interoperability. It also discusses some alternative models that other researchers have proposed and eight design principles for structuring high-quality software designs.
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 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.
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.
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.
Agile development focuses on effective communication, customer collaboration, and incremental delivery of working software. The key principles of agile development according to the Agile Alliance include satisfying customers, welcoming changing requirements, frequent delivery, collaboration between business and development teams, and self-organizing teams. Extreme Programming (XP) is an agile process model that emphasizes planning with user stories, simple design, pair programming, unit testing, and frequent integration and testing.
The document discusses software requirements and specifications. It explains that requirements engineering is the process of establishing customer requirements for a system. Requirements can range from high-level abstract statements to detailed functional specifications. Both types of statements may be called requirements. The document also discusses different types of requirements like user requirements, system requirements, functional requirements, and non-functional requirements. It provides examples and explanations of each. The structure and intended users of a requirements document are also covered.
Software metrics can be used to measure various attributes of software products and processes. There are direct metrics that immediately measure attributes like lines of code and defects, and indirect metrics that measure less tangible aspects like functionality and reliability. Metrics are classified as product metrics, which measure attributes of the software product, and process metrics, which measure the software development process. Project metrics are used tactically within a project to track status, risks, and quality, while process metrics are used strategically for long-term process improvement. Common software quality attributes that can be measured include correctness, maintainability, integrity, and usability.
The V-model is a software development lifecycle framework where each phase of development (requirements, design, implementation, testing) has a corresponding testing phase that validates the product. The V-model is best for small to medium projects with clearly defined requirements, and allows testing activities to start early by planning tests before coding begins. Key phases include requirements analysis, system design, module design and coding, unit testing, integration testing, system testing, and user acceptance testing.
This document outlines various artifact sets produced during the software engineering process, including requirement, design, implementation, deployment, test, and management artifacts. It discusses the artifacts in each set and how they evolve over the software lifecycle. The key artifact sets are the requirement set containing the engineering context, the design set representing different abstraction levels, the implementation set with source code, and the deployment set for delivering the software to users. Test artifacts must also be developed concurrently and documented similarly. Management artifacts include documents for planning, tracking status and releases, and defining the development environment.
This document provides an overview of system modeling. It discusses that system modeling involves developing abstract models of a system from different perspectives, and is commonly done using the Unified Modeling Language (UML). It also describes various UML diagram types used in system modeling like use case diagrams, class diagrams, and state diagrams. Finally, it gives examples of modeling different views of a mental health case management system, including contextual models, interaction models, structural models, and behavioral models.
Software metrics are quantitative measures used to characterize aspects of software, like size, quality, and complexity. They are used for estimating costs and schedules, controlling projects, predicting quality, providing management information, and process improvement. There are three main categories of metrics: product metrics measure attributes of the software itself like size and reliability; process metrics assess the effectiveness of development processes; and project metrics help managers track project status, risks, and quality. Key roles of metrics include monitoring requirements, predicting resource needs, tracking processes, understanding maintenance costs, and improving software through measurement.
Coupling refers to the interdependence between software modules. There are several types of coupling from loose to tight, with the tightest being content coupling where one module relies on the internal workings of another. Cohesion measures how strongly related the functionality within a module is, ranging from coincidental to functional cohesion which is the strongest. Tight coupling and low cohesion can make software harder to maintain and reuse modules.
This document discusses software quality factors and McCall's model of quality factors. It describes McCall's model which categorizes quality factors into three categories: product operation factors related to how well the software runs, product revision factors related to how easily the software can be changed and tested, and product transition factors related to moving the software to different environments. Under each category it provides examples of specific quality factors like correctness, reliability, maintainability, and portability. It also mentions some alternative models that suggest additional quality factors.
This lecture provide a detail concepts of user interface development design and evaluation. This lecture have complete guideline toward UI development. The interesting thing about this lecture is Software User Interface Design trends.
These slides discuss software testing strategies and accompany the textbook "Software Engineering: A Practitioner's Approach". They cover topics like the definition of testing, the strategic approach to testing, verification vs validation, unit testing, integration testing strategies, regression testing, smoke testing, and testing for object-oriented software. The overall purpose of the slides is to outline best practices and approaches for effectively testing software at various stages from the module level to full system integration and validation.
This document provides course materials for the subject of Software Quality Management taught in the 8th semester of the Computer Science and Engineering department at A.V.C. College of Engineering in Mannampandal, India. It includes the syllabus, course objectives, textbook information, and an introductory section on fundamentals of software quality covering topics like hierarchical quality models, quality measurement, and metrics.
Software testing is an important phase of the software development process that evaluates the functionality and quality of a software application. It involves executing a program or system with the intent of finding errors. Some key points:
- Software testing is needed to identify defects, ensure customer satisfaction, and deliver high quality products with lower maintenance costs.
- It is important for different stakeholders like developers, testers, managers, and end users to work together throughout the testing process.
- There are various types of testing like unit testing, integration testing, system testing, and different methodologies like manual and automated testing. Proper documentation is also important.
- Testing helps improve the overall quality of software but can never prove that there
Design principles & quality factorsAalia Barbe
The document discusses McCall's quality factors model for classifying software quality requirements. It describes the three categories in McCall's model - product operation factors, product revision factors, and product transition factors. Under each category, it lists and describes the specific quality factors, including correctness, reliability, efficiency, integrity, usability, maintainability, flexibility, testability, portability, reusability, and interoperability. It also discusses some alternative models that other researchers have proposed and eight design principles for structuring high-quality software designs.
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.
This document discusses hierarchical models of software quality, including the McCall and Boehm models. The McCall model addresses three areas of software quality: product operation, product revision, and product transition. Product operation focuses on usability, integrity, efficiency, and correctness. Product revision examines testability and maintainability. Product transition considers portability, reusability, and interoperability. The Boehm model defines three levels of quality attributes: primary uses, intermediate constructs, and primitive constructs. Primary uses include as-is utility and maintainability. Intermediate constructs are flexibility, reliability, portability, efficiency, testability, understandability, and usability. Primitive constructs result in measurable properties.
The document discusses McCall's model of software quality factors. It identifies three categories of quality factors: product operation factors, product revision factors, and product transition factors. Product operation factors include correctness, reliability, efficiency, integrity, and usability which relate to how well the software runs. Product revision factors include maintainability, flexibility, and testability which relate to how easily the software can be changed, tested, and redeployed. Product transition factors include portability, reusability, and interoperability which relate to moving the software between platforms and interfacing with other systems. The document provides examples of how each quality factor can be specified as a requirement.
The document discusses software quality factors and McCall's quality factors model. McCall's model classifies software quality requirements into 11 factors across 3 categories: product operation, product revision, and product transition. Product operation factors include correctness, reliability, efficiency, integrity, and usability. Product revision factors are maintainability, flexibility, and testability. Product transition factors are portability, reusability, and interoperability. The document provides examples to illustrate each quality factor. Alternative models from other authors that expand on McCall's 11 factors are also mentioned.
McCall's model defines quality factors for software products across three categories: product operation, product revision, and product transition. For product operation, the key factors are correctness, reliability, efficiency, integrity, and usability. Product revision factors include maintainability, flexibility, and testability. Finally, for product transition the important factors are portability, reusability, and interoperability. The model provides examples of how each factor could be specified as a requirement in a software project.
Attributes of 'well - engineered' software productandyr91
The document discusses the attributes of well-engineered software, including dependability, maintainability, efficiency, usability, portability, and documentation. Dependability means the software reliably performs as designed and accounts for reliability, security, and safety. Maintainability ensures the software can receive updates to fix errors or add features based on feedback. Portability means the software can run on different platforms without issues. Documentation outlines system requirements and specifications for optimal performance. Usability ensures users can easily interact with and manipulate the software through consistent design and a small learning curve. Efficiency evaluates how software utilizes computer resources without slowing down systems or using too many resources.
The document provides an overview of software engineering concepts including definitions of software, characteristics of good software, and the software engineering process. It discusses that software engineering aims to apply systematic and disciplined approaches to software development and maintenance to economically produce reliable and efficient software. The document also outlines key activities in a generic software process framework including communication, planning, modeling, construction, and deployment.
The document provides an overview of software engineering concepts. It defines software and its key characteristics, such as being developed rather than manufactured. It discusses different types of software applications and attributes of good software like maintainability and dependability. The document also outlines the activities in a generic software process, including communication, planning, modeling, construction, and deployment. It emphasizes that the process should be adapted to each project's specific needs.
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Quality attributes in software architectureGang Tao
This document discusses various quality attributes in software architecture including responsiveness, scalability, usability, security, accessibility, serviceability, extensibility, distributability, maintainability, portability, reliability, testability, and compatibility. For each attribute, it provides definitions and considerations for how to achieve that attribute in architecture and design. It also discusses relationships between attributes and references quality models for evaluating software.
This document provides an overview of software and software engineering. It defines software, discusses why software is important to modern economies, and outlines some key characteristics of software such as its non-physical nature and tendency to deteriorate over time rather than wear out. The document also introduces common software applications, categories, and costs. Finally, it discusses the importance of software engineering in developing reliable, high-quality software economically.
This document provides an overview of software and software engineering. It defines software, discusses why software is important, and explores key software engineering concepts like the software development process, process models, case studies, and requirements. Specifically, it defines software, explains that software engineering aims to produce reliable software economically, and discusses the importance of processes and methods in software development.
This document defines key concepts related to quality in software engineering, including definitions of quality, software quality, and several quality factor frameworks. It discusses Garvin's quality dimensions, McCall's quality factors, ISO 9126 quality factors, and targeted quality factors. The document also covers concepts like good enough software and the cost of quality.
Week_01-Intro to Software Engineering-1.ppt23017156038
This document provides an overview of software engineering concepts including definitions of software and software engineering. It discusses the importance of software and different types of software applications. The document also introduces a generic software engineering process framework consisting of communication, planning, modeling, construction, and deployment activities. Finally, it provides examples of an embedded insulin pump control system and a patient information system for mental health care to illustrate software engineering concepts and processes.
The document provides a history of Microsoft operating systems from 1985 to present day, including:
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This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software.
Presented at: The 33rd International Conference on Program Comprehension (ICPC '25)
Date of Conference: April 2025
Conference Location: Ottawa, Ontario, Canada
Preprint: https://arxiv.org/abs/2501.10037
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Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak
As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.
Agentic AI Use Cases using GenAI LLM modelsManish Chopra
This document presents specific use cases for Agentic AI (Artificial Intelligence), featuring Large Language Models (LLMs), Generative AI, and snippets of Python code alongside each use case.
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TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...Andre Hora
Unittest and pytest are the most popular testing frameworks in Python. Overall, pytest provides some advantages, including simpler assertion, reuse of fixtures, and interoperability. Due to such benefits, multiple projects in the Python ecosystem have migrated from unittest to pytest. To facilitate the migration, pytest can also run unittest tests, thus, the migration can happen gradually over time. However, the migration can be timeconsuming and take a long time to conclude. In this context, projects would benefit from automated solutions to support the migration process. In this paper, we propose TestMigrationsInPy, a dataset of test migrations from unittest to pytest. TestMigrationsInPy contains 923 real-world migrations performed by developers. Future research proposing novel solutions to migrate frameworks in Python can rely on TestMigrationsInPy as a ground truth. Moreover, as TestMigrationsInPy includes information about the migration type (e.g., changes in assertions or fixtures), our dataset enables novel solutions to be verified effectively, for instance, from simpler assertion migrations to more complex fixture migrations. TestMigrationsInPy is publicly available at: https://github.com/altinoalvesjunior/TestMigrationsInPy.
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2. Software Quality:
•Conformance to the users Requirements.
Quality Models:
•Software Quality is described by specific quality models.
Software Quality Models are:
McCall’s Model
•Boehm Model
•FURPS/FURPS+
•Dromey quality Model
•ISO quality Model
FURPS
BY: SUNDAS SHABBIR Ahmed Kaim
Khani 2
3. Introduction:
Jim McCall produced this model for the US Air Force
and the intention was to bridge the gap between users and developers.
McCall Model Developed in 1967-7,
•One of the first , Oldest software quality model.
•Started with volume of 55 quality characteristics ,called them “factors”
•Quality Factors was compressed into 11 main factors.
•McCall Tried to map
user view
developer’s priorities.
BY: SUNDAS SHABBIR Ahmed Kaim
Khani 3
4. McCall Quality Model:
Three 3 major perspectives.
1. Product Revision (ability to under go Changes)
Maintainability, Flexibility, Testability.
2.Product Transition (adaptability to new environments).
Portability, Reusability, Interoperability.
3.Product Operations( basic Operational characteristic).
Correctness, Reliability, Efficiency, Integrity, Usability
BY: SUNDAS SHABBIR Ahmed Kaim
Khani 4
7. McCall’s Quality Model:
Based on 3 types of Characteristics with hierarchical dependency:
1. Factors(to specify): external software view for users.
2. Criteria(to build): internal software view for developers.
3. Measures/metrics (to control): are used for software measurement.
BY: SUNDAS SHABBIR Ahmed Kaim
Khani 7
8. 1.Product Operations
•Correctness, the functionality matches the specification.
or
Does it do what customer wants?(meeting specification)
•Reliability, the extent to which the system fails.
or
Does it do it accurately all of the time. (successful performance)
BY: SUNDAS SHABBIR Ahmed Kaim
Khani 8
9. 1.Product Operations conti..
•Efficiency, system resource (including cpu, disk, memory, network) usage.
or
Does it quickly solve the intended problem?(enough computing resources)
•Integrity, protection from unauthorized access.
or is it Secure? (access limitation to people)
•Usability, ease of use
Or
Can I run it? (efforts in learning/operating)
BY: SUNDAS SHABBIR Ahmed Kaim
Khani 9
10. 2.Product revision
•Maintainability, the ability to find and fix a defect.
Or Can it be fixed?(fixing bugs and errors)
•Flexibility, the ability to make changes required as dictated by the business.
Or Can it be changed?(modifying an operational program)
•Testability, the ability to Validate the software requirements.
Or Can it be tested? (ensuring performance)
BY: SUNDAS SHABBIR Ahmed Kaim
Khani 10
11. 3. Product transition
•Portability, the ability to transfer the software from one environment to another.
Or Can it be used on another machine?(Platform dependence).
•Reusability, the ease of using existing software components in a different context.
Or Can part of it be reused? (generic coding).
•Interoperability, the extent, or ease, to which software components work together.
Or Can it interface with other system (coupling system)
BY: SUNDAS SHABBIR Ahmed Kaim
Khani 11
12. Relationship between Quality Factors and Quality Criteria
•Each quality factor is positively influenced by the set of quality criteria,
And the same quality criterion impacts a number of quality factors.
Some quality factors positively impact others.
•An effort to improve the correctness of a system will increase its reliability.
BY: SUNDAS SHABBIR Ahmed Kaim
Khani 12