The users who use ready to use software product had better get the products’ quality information with classified by some kind of global standard metrics or technique for their evaluation. But many of those software products’ companies don’t provide the quality information because of the products are developed by their own development and evaluation process. But those users want to get quality information to reduce evaluation cost. Therefore, we develop our quality evaluation process with using quality characteristics of software external quality model on ISO/IEC 9126-1 for our software products. This evaluation process
has feature of unsynchronized quality evaluation process toward development process. Also, the process starts from definition of classified quality requirement based on quality subcharacteristics at test planning process to quality analysis at test completion process under software development cycle. We provide precise quality data of our product for our users through this evaluation process and the process might be reduced cost of our customers’ evaluation.
The users who use ready to use software products had better getting the products’ quality
information with classified by some kind of global standard metrics or technique for their
evaluation. But many of those software products’ companies don’t provide the quality
information because of the products are developed by their own development and evaluation
process. But those users want to get quality information to reduce evaluation cost. Therefore,
we develop our quality evaluation process with using quality characteristics of software
external quality model on ISO/IEC 9126-1 for our software products. This evaluation process
has feature of unsynchronized quality evaluation process toward development process. Also, the
process starts from definition of classified quality requirement based on quality subcharacteristics
at test planning process to quality analysis at test completion process under
software development cycle. We provide precise our products quality data for our users through
this evaluation process and the process might be reduced cost of our customers’ evaluation.
The document discusses software quality assurance. It defines SQA as using planned and systematic methods to evaluate software quality, standards, processes, and procedures. This ensures development follows standards and procedures through continuous monitoring, product evaluation, and audits. SQA activities include product evaluation and monitoring to ensure adherence to development plans, as well as product audits to thoroughly review products, processes, and documentation against established standards. Software reviews are used to uncover errors and defects during development in order to "purify" software requirements, design, code, and testing data before release.
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 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 provides an overview of an SQA workshop on quality and process concepts. It discusses quality models, the SQA role, and audit systems. Key topics covered include quality definitions, quality gurus, total quality management, process management, industry quality models like ISO 9001 and CMMI, quality system elements, and the purpose and types of audits.
The document discusses quality standards, practices, and conventions for software testing and quality assurance. It covers topics such as software testing types, quality assurance, quality concepts, software standards organizations, basic practices like reviews and inspections, and coding conventions. Software configuration management is also introduced which involves tracking and controlling changes in software.
The users who use ready to use software products had better getting the products’ quality
information with classified by some kind of global standard metrics or technique for their
evaluation. But many of those software products’ companies don’t provide the quality
information because of the products are developed by their own development and evaluation
process. But those users want to get quality information to reduce evaluation cost. Therefore,
we develop our quality evaluation process with using quality characteristics of software
external quality model on ISO/IEC 9126-1 for our software products. This evaluation process
has feature of unsynchronized quality evaluation process toward development process. Also, the
process starts from definition of classified quality requirement based on quality subcharacteristics
at test planning process to quality analysis at test completion process under
software development cycle. We provide precise our products quality data for our users through
this evaluation process and the process might be reduced cost of our customers’ evaluation.
The document discusses software quality assurance. It defines SQA as using planned and systematic methods to evaluate software quality, standards, processes, and procedures. This ensures development follows standards and procedures through continuous monitoring, product evaluation, and audits. SQA activities include product evaluation and monitoring to ensure adherence to development plans, as well as product audits to thoroughly review products, processes, and documentation against established standards. Software reviews are used to uncover errors and defects during development in order to "purify" software requirements, design, code, and testing data before release.
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 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 provides an overview of an SQA workshop on quality and process concepts. It discusses quality models, the SQA role, and audit systems. Key topics covered include quality definitions, quality gurus, total quality management, process management, industry quality models like ISO 9001 and CMMI, quality system elements, and the purpose and types of audits.
The document discusses quality standards, practices, and conventions for software testing and quality assurance. It covers topics such as software testing types, quality assurance, quality concepts, software standards organizations, basic practices like reviews and inspections, and coding conventions. Software configuration management is also introduced which involves tracking and controlling changes in software.
What is Quality and Why need it?
What is the Statistical Quality Control
Software testing process Map
Test Planning and control
Test Analysis and Design
Implementation and Execution
Evaluating exit criteria and closure
A Guide to the Forthcoming 2012 Revision of the IEEE Software Quality Assuran...dheimann5
The IEEE is in the process of updating and adding significant content to its IEEE-730-2002 standard on Software Quality Assurance (SQA). The new version will coordinate with the four process areas and sixteen SQA tasks in the IEEE-12207-2008 standard “Systems and Software Engineering: Software Life Cycle Processes”, providing detailed elaborations for these areas and tasks.
The presentation provides a brief overview of these areas and tasks, discuss the difference between SQA and testing, and cover the annexes in IEEE 730 that provide industry-specific information as well as the relationships with software process approaches such as CMMI, Agile, SPICE, CSQE, PMBOK, and VSEs.
The document discusses the key characteristics of software quality assurance (SQA), including the high complexity of software, limited opportunities to detect defects, and need for teamwork and coordination. It defines important SQA terms like software quality, errors, faults, and failures. The document outlines nine common causes of software errors and provides definitions for SQA and its objectives to systematically ensure software meets requirements and is developed within schedule and budget.
This document summarizes 12 chapters on software quality assurance. It discusses integrating quality activities into the project life cycle in Chapter 7. Chapter 8 covers reviews, including formal design reviews and peer reviews. Chapter 9 examines software testing strategies like black box and white box testing. Chapter 10 details test implementation, including test case design and automated testing. Chapter 11 discusses assuring quality of software maintenance. Chapter 12 covers assuring quality of contributions from external participants like subcontractors.
A Research Study on importance of Testing and Quality Assurance in Software D...Sehrish Asif
A Research Study on importance of Testing and Quality Assurance in Software Development Life Cycle (SDLC) Models & Quality Assurance for Product Development using Agile & A Software Quality Framework for Mobile Application Testing
Introduction To Software Quality Assuranceruth_reategui
The document discusses software quality assurance (SQA) and defines key terms and concepts. It outlines the components of an SQA plan according to IEEE standard 730, including required sections, documentation to review, standards and metrics, and types of reviews. It also summarizes approaches to SQA from the Software Capability Maturity Model and the Rational Unified Process.
Term Paper - Quality Assurance in Software DevelopmentSharad Srivastava
This document provides an overview of software quality assurance. It discusses the evolution of SQA from an initial focus on "code and ship" in the 1960s-1980s to today's emphasis on SQA processes. Key concepts covered include quality, quality control, quality assurance, and the cost of quality. Elements of SQA like activities and models are described. Leading organizations' SQA practices are examined through case studies. The document aims to explain the importance of SQA for software development organizations.
Software Quality Analyst and Software Quality Managementنور شزننا
This presentation slide is purposely for our Software Quality course. You will notice less words, as we had been given only 10 minutes to present. All information is taken through our research on internet. Thanks to all worldwide SE Experts for your valuable knowledge.
This document outlines the software quality plan for an airline reservation system project. It discusses roles in quality assurance including developers writing unit tests, an on-site customer for acceptance testing, and QA ensuring quality and functionality. It also covers risk management, prioritizing use cases, infrastructure and component testing for the application server, database, OS, and hardware. User acceptance testing approaches are defined using test tools and test scenarios from user stories. Training and disaster recovery plans are also summarized.
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.
This document presents an overview of independent verification and validation (IV&V) provided by Maneat. It defines verification as evaluating work products to ensure they meet requirements, while validation ensures the product meets user needs. The benefits of IV&V include improved quality, reduced costs and failures. Maneat's 5-step methodology covers the full lifecycle and priorities include understanding business flows and risks. Maneat tailors its IV&V approach to each client's needs and industry.
This document discusses software quality management standards. It defines software quality and explains that standards aim to manage quality and development processes. The document outlines three major standards activities: software quality assurance which establishes organizational procedures; software quality plans which select applicable procedures for a project; and software quality control which ensures procedures are followed. It provides examples of standards organizations and types of standards including quality assurance, project management, system engineering, safety, and product standards. The document also notes some problems with software quality standards.
This document outlines the agenda for a two-day workshop on software quality assurance (SQA). The workshop will cover basic SQA concepts, introducing quality into an organization, best practices for quality assurance procedures, policies and artifacts, measuring results using metrics, and moving to continual improvement. It will provide an overview of topics related to SQA and industry best practices. Attendees will learn basic quality concepts, steps to achieve quality objectives, and how to implement quality assurance and control standards and processes.
This document discusses software quality assurance and testing. It provides definitions of key terms like software quality, errors, faults and failures. It also lists common causes of software errors and characteristics that differentiate software from other products. Software quality assurance is defined as a planned set of activities to provide confidence that software conforms to requirements, while quality control evaluates quality after development. The objectives of software quality assurance are also prevention of defects rather than finding them after development.
This document discusses software quality assurance (SQA). It notes that SQA should be fully utilized to trace errors cost-effectively. SQA is important for business survival and helps companies release applications to users by tracing the roots of problems, providing flexible solutions, and enabling better customer service and innovation. The document outlines SQA principles like feedback, evolution, quality control, and persistence. It also discusses SQA activities, tools, planning, and standards.
The document describes the architecture of a software quality process framework. The framework is oriented around key architectural principles and is designed to be practical, scalable, and independent of technology. It includes guiding principles, proven methods, specific techniques, best practices, standards, templates, sub-processes, tools, technologies, and key processes to manage quality throughout the entire software development life cycle.
This document discusses software quality assurance. It defines software as computer programs, procedures, and documentation related to operating a computer system. Software quality is defined as meeting requirements and user needs/expectations. Quality factors include correctness, reliability, efficiency, integrity, usability, maintainability, flexibility, testability, portability, reusability, and interoperability. Software quality assurance is a planned set of actions to provide confidence that software development/maintenance conforms to requirements and schedules/budgets. The objectives of SQA are to assure acceptable confidence in conforming to functional/managerial requirements during development and maintenance. Three principles of QA are to know what is being done, know what should be done, and know how to
Introduction to Investigation And Utilizing Lean Test Metrics In Agile Softwa...IJERA Editor
The growth of the software development industry approaches the new development methodologies to deliver the
error free software to its end-user fulfilling the business values to product. The growth of tools and technology
has brought the automation in the development and software testing process, it has also increased the demand of
the fast testing and delivery of the software to end customers. Traditional software development methodologies
to trending agile software development trend have brought new philosophy, dimensions, and processes having
invested new tools to make process easy. The Agile development (Scrum, XP, FDD, BDD, ATDD, ASD,
DSDM, Kanban, Crystal and Lean) process also faces the software testing model crises because of the fast
development of life cycles, fast delivery to end users without having appropriate test metrics which make the
software testing process slow as well as increase the risk. The analysis of the testing metrics in the software
testing process and setting the right lean test metrics help to improve the software quality effectively in agile
process.
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.
PRODUCT QUALITY EVALUATION METHOD (PQEM): TO UNDERSTAND THE EVOLUTION OF QUAL...ijseajournal
Promoting quality within the context of agile software development, it is extremely important as well as
useful to improve not only the knowledge and decision-making of project managers, product owners, and
quality assurance leaders but also to support the communication between teams. In this context, quality
needs to be visible in a synthetic and intuitive way in order to facilitate the decision of accepting or
rejecting each iteration within the software life cycle. This article introduces a novel solution called
Product Quality Evaluation Method (PQEM) which can be used to evaluate a set of quality characteristics
for each iteration within a software product life cycle. PQEM is based on the Goal-Question-Metric
approach, the standard ISO/IEC 25010, and the extension made of testing coverage in order to obtain the
quality coverage of each quality characteristic. The outcome of PQEM is a unique multidimensional value,
that represents the quality level reached by each iteration of a product, as an aggregated measure. Even
though a value it is not the regular idea of measuring quality, we believe that it can be useful to use this
value to easily understand the quality level of each iteration. An illustrative example of the PQEM method
was carried out with two iterations from a web and mobile application, within the healthcare environment.
A single measure makes it possible to observe the evolution of the level of quality reached in the evolution
of the product through the iterations.
The document discusses several key dimensions and definitions of quality in software development. It describes quality as meeting requirements, meeting user needs and expectations, and being developed according to sound engineering practices. The quality process involves planning, assurance, control and prevention of defects. Testing is important but has limitations - it occurs late, catches only code issues, and does not ensure other quality attributes. Quality assurance involves standards, reviews, audits and feedback to stakeholders throughout the development lifecycle.
This document discusses challenges with quality assurance in agile software development and proposes a solution called "digital testing using cognitive approach". Some key points:
1. Traditional QA faces challenges keeping up with agile development cycles and diverse technologies. QA needs to evolve to facilitate faster delivery.
2. The proposed solution involves automating testing, using predictive analytics, parallel testing across devices, and involving QA earlier in the development cycle.
3. A "cognitive approach" uses machine learning, AI, and predictive analysis to optimize testing efforts and provide insights. This helps address issues like inadequate coverage, performance bottlenecks, and late involvement of users and testers.
What is Quality and Why need it?
What is the Statistical Quality Control
Software testing process Map
Test Planning and control
Test Analysis and Design
Implementation and Execution
Evaluating exit criteria and closure
A Guide to the Forthcoming 2012 Revision of the IEEE Software Quality Assuran...dheimann5
The IEEE is in the process of updating and adding significant content to its IEEE-730-2002 standard on Software Quality Assurance (SQA). The new version will coordinate with the four process areas and sixteen SQA tasks in the IEEE-12207-2008 standard “Systems and Software Engineering: Software Life Cycle Processes”, providing detailed elaborations for these areas and tasks.
The presentation provides a brief overview of these areas and tasks, discuss the difference between SQA and testing, and cover the annexes in IEEE 730 that provide industry-specific information as well as the relationships with software process approaches such as CMMI, Agile, SPICE, CSQE, PMBOK, and VSEs.
The document discusses the key characteristics of software quality assurance (SQA), including the high complexity of software, limited opportunities to detect defects, and need for teamwork and coordination. It defines important SQA terms like software quality, errors, faults, and failures. The document outlines nine common causes of software errors and provides definitions for SQA and its objectives to systematically ensure software meets requirements and is developed within schedule and budget.
This document summarizes 12 chapters on software quality assurance. It discusses integrating quality activities into the project life cycle in Chapter 7. Chapter 8 covers reviews, including formal design reviews and peer reviews. Chapter 9 examines software testing strategies like black box and white box testing. Chapter 10 details test implementation, including test case design and automated testing. Chapter 11 discusses assuring quality of software maintenance. Chapter 12 covers assuring quality of contributions from external participants like subcontractors.
A Research Study on importance of Testing and Quality Assurance in Software D...Sehrish Asif
A Research Study on importance of Testing and Quality Assurance in Software Development Life Cycle (SDLC) Models & Quality Assurance for Product Development using Agile & A Software Quality Framework for Mobile Application Testing
Introduction To Software Quality Assuranceruth_reategui
The document discusses software quality assurance (SQA) and defines key terms and concepts. It outlines the components of an SQA plan according to IEEE standard 730, including required sections, documentation to review, standards and metrics, and types of reviews. It also summarizes approaches to SQA from the Software Capability Maturity Model and the Rational Unified Process.
Term Paper - Quality Assurance in Software DevelopmentSharad Srivastava
This document provides an overview of software quality assurance. It discusses the evolution of SQA from an initial focus on "code and ship" in the 1960s-1980s to today's emphasis on SQA processes. Key concepts covered include quality, quality control, quality assurance, and the cost of quality. Elements of SQA like activities and models are described. Leading organizations' SQA practices are examined through case studies. The document aims to explain the importance of SQA for software development organizations.
Software Quality Analyst and Software Quality Managementنور شزننا
This presentation slide is purposely for our Software Quality course. You will notice less words, as we had been given only 10 minutes to present. All information is taken through our research on internet. Thanks to all worldwide SE Experts for your valuable knowledge.
This document outlines the software quality plan for an airline reservation system project. It discusses roles in quality assurance including developers writing unit tests, an on-site customer for acceptance testing, and QA ensuring quality and functionality. It also covers risk management, prioritizing use cases, infrastructure and component testing for the application server, database, OS, and hardware. User acceptance testing approaches are defined using test tools and test scenarios from user stories. Training and disaster recovery plans are also summarized.
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.
This document presents an overview of independent verification and validation (IV&V) provided by Maneat. It defines verification as evaluating work products to ensure they meet requirements, while validation ensures the product meets user needs. The benefits of IV&V include improved quality, reduced costs and failures. Maneat's 5-step methodology covers the full lifecycle and priorities include understanding business flows and risks. Maneat tailors its IV&V approach to each client's needs and industry.
This document discusses software quality management standards. It defines software quality and explains that standards aim to manage quality and development processes. The document outlines three major standards activities: software quality assurance which establishes organizational procedures; software quality plans which select applicable procedures for a project; and software quality control which ensures procedures are followed. It provides examples of standards organizations and types of standards including quality assurance, project management, system engineering, safety, and product standards. The document also notes some problems with software quality standards.
This document outlines the agenda for a two-day workshop on software quality assurance (SQA). The workshop will cover basic SQA concepts, introducing quality into an organization, best practices for quality assurance procedures, policies and artifacts, measuring results using metrics, and moving to continual improvement. It will provide an overview of topics related to SQA and industry best practices. Attendees will learn basic quality concepts, steps to achieve quality objectives, and how to implement quality assurance and control standards and processes.
This document discusses software quality assurance and testing. It provides definitions of key terms like software quality, errors, faults and failures. It also lists common causes of software errors and characteristics that differentiate software from other products. Software quality assurance is defined as a planned set of activities to provide confidence that software conforms to requirements, while quality control evaluates quality after development. The objectives of software quality assurance are also prevention of defects rather than finding them after development.
This document discusses software quality assurance (SQA). It notes that SQA should be fully utilized to trace errors cost-effectively. SQA is important for business survival and helps companies release applications to users by tracing the roots of problems, providing flexible solutions, and enabling better customer service and innovation. The document outlines SQA principles like feedback, evolution, quality control, and persistence. It also discusses SQA activities, tools, planning, and standards.
The document describes the architecture of a software quality process framework. The framework is oriented around key architectural principles and is designed to be practical, scalable, and independent of technology. It includes guiding principles, proven methods, specific techniques, best practices, standards, templates, sub-processes, tools, technologies, and key processes to manage quality throughout the entire software development life cycle.
This document discusses software quality assurance. It defines software as computer programs, procedures, and documentation related to operating a computer system. Software quality is defined as meeting requirements and user needs/expectations. Quality factors include correctness, reliability, efficiency, integrity, usability, maintainability, flexibility, testability, portability, reusability, and interoperability. Software quality assurance is a planned set of actions to provide confidence that software development/maintenance conforms to requirements and schedules/budgets. The objectives of SQA are to assure acceptable confidence in conforming to functional/managerial requirements during development and maintenance. Three principles of QA are to know what is being done, know what should be done, and know how to
Introduction to Investigation And Utilizing Lean Test Metrics In Agile Softwa...IJERA Editor
The growth of the software development industry approaches the new development methodologies to deliver the
error free software to its end-user fulfilling the business values to product. The growth of tools and technology
has brought the automation in the development and software testing process, it has also increased the demand of
the fast testing and delivery of the software to end customers. Traditional software development methodologies
to trending agile software development trend have brought new philosophy, dimensions, and processes having
invested new tools to make process easy. The Agile development (Scrum, XP, FDD, BDD, ATDD, ASD,
DSDM, Kanban, Crystal and Lean) process also faces the software testing model crises because of the fast
development of life cycles, fast delivery to end users without having appropriate test metrics which make the
software testing process slow as well as increase the risk. The analysis of the testing metrics in the software
testing process and setting the right lean test metrics help to improve the software quality effectively in agile
process.
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.
PRODUCT QUALITY EVALUATION METHOD (PQEM): TO UNDERSTAND THE EVOLUTION OF QUAL...ijseajournal
Promoting quality within the context of agile software development, it is extremely important as well as
useful to improve not only the knowledge and decision-making of project managers, product owners, and
quality assurance leaders but also to support the communication between teams. In this context, quality
needs to be visible in a synthetic and intuitive way in order to facilitate the decision of accepting or
rejecting each iteration within the software life cycle. This article introduces a novel solution called
Product Quality Evaluation Method (PQEM) which can be used to evaluate a set of quality characteristics
for each iteration within a software product life cycle. PQEM is based on the Goal-Question-Metric
approach, the standard ISO/IEC 25010, and the extension made of testing coverage in order to obtain the
quality coverage of each quality characteristic. The outcome of PQEM is a unique multidimensional value,
that represents the quality level reached by each iteration of a product, as an aggregated measure. Even
though a value it is not the regular idea of measuring quality, we believe that it can be useful to use this
value to easily understand the quality level of each iteration. An illustrative example of the PQEM method
was carried out with two iterations from a web and mobile application, within the healthcare environment.
A single measure makes it possible to observe the evolution of the level of quality reached in the evolution
of the product through the iterations.
The document discusses several key dimensions and definitions of quality in software development. It describes quality as meeting requirements, meeting user needs and expectations, and being developed according to sound engineering practices. The quality process involves planning, assurance, control and prevention of defects. Testing is important but has limitations - it occurs late, catches only code issues, and does not ensure other quality attributes. Quality assurance involves standards, reviews, audits and feedback to stakeholders throughout the development lifecycle.
This document discusses challenges with quality assurance in agile software development and proposes a solution called "digital testing using cognitive approach". Some key points:
1. Traditional QA faces challenges keeping up with agile development cycles and diverse technologies. QA needs to evolve to facilitate faster delivery.
2. The proposed solution involves automating testing, using predictive analytics, parallel testing across devices, and involving QA earlier in the development cycle.
3. A "cognitive approach" uses machine learning, AI, and predictive analysis to optimize testing efforts and provide insights. This helps address issues like inadequate coverage, performance bottlenecks, and late involvement of users and testers.
Software testing involves verifying that software meets requirements and works as intended. There are various testing types including unit, integration, system, and acceptance testing. Testing methodologies include black box testing without viewing code and white box testing using internal knowledge. The goal is to find bugs early and ensure software reliability.
An Ultimate Guide to Continuous Testing in Agile Projects.pdfKMSSolutionsMarketin
As more businesses apply Continuous Integration and Continuous Delivery (CI/CD) to release their software faster, Continuous testing becomes the final piece that completes a continuous development process. By automatically testing code right after developers submit it to the repository, testers can locate bugs before another line of code is written.
The document discusses the need for comprehensive software testing and quality solutions as software grows more complex. It introduces the Scale software quality platform, which defines software quality using the ISO 9126 model. Scale automates code review and testing based on predefined quality rules. It manages issues detected during analysis and generates reports to track quality improvements over time. Scale allows collaboration between developers, managers, and quality teams to achieve common quality goals.
The document provides an overview of topics related to software quality assurance including software testing strategies, project management, risk management, and maintenance. It discusses software quality assurance and defines verification and validation. It describes different testing types like unit testing, integration testing, system testing, and validation testing. It also covers ISO standards for testing, SQA plans, testing goals and attributes. Finally, it discusses testing approaches, strategies for validation testing, and the goals of system testing.
This document provides an overview of a course on Software Quality Assurance. It discusses several key points:
- The course introduces students to Software Quality Assurance principles as practiced in industry.
- Several methods are used for process and product assurance, including audits, inspections, reviews, testing, and assessments.
- Embedded quality assurance activities aim to detect and remove errors early in the development cycle to reduce costs.
- A case study of the Space Shuttle flight software project demonstrates how a rigorous quality assurance process using embedded activities achieved extremely high reliability.
The document introduces quality management processes and activities including quality assurance, standards, quality planning, and quality control. It explains that quality management aims to ensure the required level of quality is achieved in a software product by defining standards and procedures. Quality management is important for large, complex systems to support continuity as teams change.
Quality management involves defining quality standards and procedures to ensure a required level of quality is achieved in software products. This includes activities like quality assurance to establish standards, quality planning to select applicable standards for a project, and quality control to ensure standards are followed. Software measurement can be used to assess quality by collecting metrics on the development process and product attributes, but accurately relating measurements to quality is challenging due to complex relationships between processes and outcomes.
Quality management involves defining quality standards and procedures to ensure a quality product. This includes quality assurance, establishing standards, quality planning, and quality control such as reviews and metrics. Measurement can assess software quality but relationships between what is measured and quality attributes are complex, and metrics have limitations and rarely predict quality directly.
This document provides an overview of software development lifecycles and testing. It discusses the typical phases of the SDLC, including planning, analysis, design, implementation, and maintenance. It describes two common SDLC methodologies: the waterfall model and agile/scrum model. It also defines different types of testing like static vs dynamic, verification vs validation, functional testing, regression testing, and smoke testing. Finally, it provides details on unit, integration, system, and user acceptance testing.
In this technique, test cases are developed using the use cases of the system. A use case encompass the various actors and their interactions with the system. Use cases cover the complete transactions from start to finish. These test cases depict the actual use of software by the end user.
In computing, a database is an organized collection of data or a type of data...MugizhanNagendiran
Product, process, and project metrics are used to measure attributes of software products and the development process. Product metrics measure size, complexity, features, performance, and quality of the software. Process and project metrics are used to improve development and maintenance processes by measuring factors like defect removal effectiveness and project characteristics. Software quality assurance is an integral part of development that aims to deliver high quality software through principles, processes, and techniques like prevention of defects, continuous improvement, standards adherence, quality planning, assurance, control, and process improvement.
The document discusses software testing and the software development life cycle (SDLC). It provides an agenda that covers topics like types of testing, test case design, bug tracking, and SDLC models. The SDLC models discussed include waterfall, V-model, spiral model, and agile development models. The document describes the phases of the waterfall model SDLC such as requirements gathering, analysis, design, coding, testing, and deployment/maintenance.
This document provides an overview of software testing concepts for beginners. It defines key terms like quality, testing, and standards. It describes different testing levels from unit to system testing. It also covers software development lifecycles, quality principles, project management, and configuration management. The goal is to introduce software testing fundamentals and processes.
This document provides an overview of software testing concepts for beginners. It defines key terms like quality, testing standards, and the cost of quality. It describes common software problems, testing objectives, and the roles of testers. It also explains software development lifecycles, quality assurance vs quality control, capability maturity models, and risk management best practices. The goal is to introduce foundational testing fundamentals and processes to those new to the field.
This document discusses quality management in software development. It covers topics like quality assurance, quality planning, quality control, and software measurement and metrics. The objectives are to introduce key quality management activities and explain the role of standards. It discusses ISO 9000 quality standards and certification. Quality management aims to develop a quality culture and ensure the required level of quality is achieved. Quality is defined as a product meeting its specification, though this can be problematic for software. The document outlines various quality management activities and challenges.
Similar to DEVELOP QUALITY CHARACTERISTICS BASED QUALITY EVALUATION PROCESS FOR READY TO USE SOFTWARE PRODUCTS (20)
ANALYSIS OF LAND SURFACE DEFORMATION GRADIENT BY DINSAR cscpconf
The progressive development of Synthetic Aperture Radar (SAR) systems diversify the exploitation of the generated images by these systems in different applications of geoscience. Detection and monitoring surface deformations, procreated by various phenomena had benefited from this evolution and had been realized by interferometry (InSAR) and differential interferometry (DInSAR) techniques. Nevertheless, spatial and temporal decorrelations of the interferometric couples used, limit strongly the precision of analysis results by these techniques. In this context, we propose, in this work, a methodological approach of surface deformation detection and analysis by differential interferograms to show the limits of this technique according to noise quality and level. The detectability model is generated from the deformation signatures, by simulating a linear fault merged to the images couples of ERS1 / ERS2 sensors acquired in a region of the Algerian south.
4D AUTOMATIC LIP-READING FOR SPEAKER'S FACE IDENTIFCATIONcscpconf
A novel based a trajectory-guided, concatenating approach for synthesizing high-quality image real sample renders video is proposed . The lips reading automated is seeking for modeled the closest real image sample sequence preserve in the library under the data video to the HMM predicted trajectory. The object trajectory is modeled obtained by projecting the face patterns into an KDA feature space is estimated. The approach for speaker's face identification by using synthesise the identity surface of a subject face from a small sample of patterns which sparsely each the view sphere. An KDA algorithm use to the Lip-reading image is discrimination, after that work consisted of in the low dimensional for the fundamental lip features vector is reduced by using the 2D-DCT.The mouth of the set area dimensionality is ordered by a normally reduction base on the PCA to obtain the Eigen lips approach, their proposed approach by[33]. The subjective performance results of the cost function under the automatic lips reading modeled , which wasn’t illustrate the superior performance of the
method.
MOVING FROM WATERFALL TO AGILE PROCESS IN SOFTWARE ENGINEERING CAPSTONE PROJE...cscpconf
Universities offer software engineering capstone course to simulate a real world-working environment in which students can work in a team for a fixed period to deliver a quality product. The objective of the paper is to report on our experience in moving from Waterfall process to Agile process in conducting the software engineering capstone project. We present the capstone course designs for both Waterfall driven and Agile driven methodologies that highlight the structure, deliverables and assessment plans.To evaluate the improvement, we conducted a survey for two different sections taught by two different instructors to evaluate students’ experience in moving from traditional Waterfall model to Agile like process. Twentyeight students filled the survey. The survey consisted of eight multiple-choice questions and an open-ended question to collect feedback from students. The survey results show that students were able to attain hands one experience, which simulate a real world-working environment. The results also show that the Agile approach helped students to have overall better design and avoid mistakes they have made in the initial design completed in of the first phase of the capstone project. In addition, they were able to decide on their team capabilities, training needs and thus learn the required technologies earlier which is reflected on the final product quality
PROMOTING STUDENT ENGAGEMENT USING SOCIAL MEDIA TECHNOLOGIEScscpconf
This document discusses using social media technologies to promote student engagement in a software project management course. It describes the course and objectives of enhancing communication. It discusses using Facebook for 4 years, then switching to WhatsApp based on student feedback, and finally introducing Slack to enable personalized team communication. Surveys found students engaged and satisfied with all three tools, though less familiar with Slack. The conclusion is that social media promotes engagement but familiarity with the tool also impacts satisfaction.
A SURVEY ON QUESTION ANSWERING SYSTEMS: THE ADVANCES OF FUZZY LOGICcscpconf
In real world computing environment with using a computer to answer questions has been a human dream since the beginning of the digital era, Question-answering systems are referred to as intelligent systems, that can be used to provide responses for the questions being asked by the user based on certain facts or rules stored in the knowledge base it can generate answers of questions asked in natural , and the first main idea of fuzzy logic was to working on the problem of computer understanding of natural language, so this survey paper provides an overview on what Question-Answering is and its system architecture and the possible relationship and
different with fuzzy logic, as well as the previous related research with respect to approaches that were followed. At the end, the survey provides an analytical discussion of the proposed QA models, along or combined with fuzzy logic and their main contributions and limitations.
DYNAMIC PHONE WARPING – A METHOD TO MEASURE THE DISTANCE BETWEEN PRONUNCIATIONS cscpconf
Human beings generate different speech waveforms while speaking the same word at different times. Also, different human beings have different accents and generate significantly varying speech waveforms for the same word. There is a need to measure the distances between various words which facilitate preparation of pronunciation dictionaries. A new algorithm called Dynamic Phone Warping (DPW) is presented in this paper. It uses dynamic programming technique for global alignment and shortest distance measurements. The DPW algorithm can be used to enhance the pronunciation dictionaries of the well-known languages like English or to build pronunciation dictionaries to the less known sparse languages. The precision measurement experiments show 88.9% accuracy.
INTELLIGENT ELECTRONIC ASSESSMENT FOR SUBJECTIVE EXAMS cscpconf
In education, the use of electronic (E) examination systems is not a novel idea, as Eexamination systems have been used to conduct objective assessments for the last few years. This research deals with randomly designed E-examinations and proposes an E-assessment system that can be used for subjective questions. This system assesses answers to subjective questions by finding a matching ratio for the keywords in instructor and student answers. The matching ratio is achieved based on semantic and document similarity. The assessment system is composed of four modules: preprocessing, keyword expansion, matching, and grading. A survey and case study were used in the research design to validate the proposed system. The examination assessment system will help instructors to save time, costs, and resources, while increasing efficiency and improving the productivity of exam setting and assessments.
TWO DISCRETE BINARY VERSIONS OF AFRICAN BUFFALO OPTIMIZATION METAHEURISTICcscpconf
African Buffalo Optimization (ABO) is one of the most recent swarms intelligence based metaheuristics. ABO algorithm is inspired by the buffalo’s behavior and lifestyle. Unfortunately, the standard ABO algorithm is proposed only for continuous optimization problems. In this paper, the authors propose two discrete binary ABO algorithms to deal with binary optimization problems. In the first version (called SBABO) they use the sigmoid function and probability model to generate binary solutions. In the second version (called LBABO) they use some logical operator to operate the binary solutions. Computational results on two knapsack problems (KP and MKP) instances show the effectiveness of the proposed algorithm and their ability to achieve good and promising solutions.
DETECTION OF ALGORITHMICALLY GENERATED MALICIOUS DOMAINcscpconf
In recent years, many malware writers have relied on Dynamic Domain Name Services (DDNS) to maintain their Command and Control (C&C) network infrastructure to ensure a persistence presence on a compromised host. Amongst the various DDNS techniques, Domain Generation Algorithm (DGA) is often perceived as the most difficult to detect using traditional methods. This paper presents an approach for detecting DGA using frequency analysis of the character distribution and the weighted scores of the domain names. The approach’s feasibility is demonstrated using a range of legitimate domains and a number of malicious algorithmicallygenerated domain names. Findings from this study show that domain names made up of English characters “a-z” achieving a weighted score of < 45 are often associated with DGA. When a weighted score of < 45 is applied to the Alexa one million list of domain names, only 15% of the domain names were treated as non-human generated.
GLOBAL MUSIC ASSET ASSURANCE DIGITAL CURRENCY: A DRM SOLUTION FOR STREAMING C...cscpconf
The document proposes a blockchain-based digital currency and streaming platform called GoMAA to address issues of piracy in the online music streaming industry. Key points:
- GoMAA would use a digital token on the iMediaStreams blockchain to enable secure dissemination and tracking of streamed content. Content owners could control access and track consumption of released content.
- Original media files would be converted to a Secure Portable Streaming (SPS) format, embedding watermarks and smart contract data to indicate ownership and enable validation on the blockchain.
- A browser plugin would provide wallets for fans to collect GoMAA tokens as rewards for consuming content, incentivizing participation and addressing royalty discrepancies by recording
IMPORTANCE OF VERB SUFFIX MAPPING IN DISCOURSE TRANSLATION SYSTEMcscpconf
This document discusses the importance of verb suffix mapping in discourse translation from English to Telugu. It explains that after anaphora resolution, the verbs must be changed to agree with the gender, number, and person features of the subject or anaphoric pronoun. Verbs in Telugu inflect based on these features, while verbs in English only inflect based on number and person. Several examples are provided that demonstrate how the Telugu verb changes based on whether the subject or pronoun is masculine, feminine, neuter, singular or plural. Proper verb suffix mapping is essential for generating natural and coherent translations while preserving the context and meaning of the original discourse.
EXACT SOLUTIONS OF A FAMILY OF HIGHER-DIMENSIONAL SPACE-TIME FRACTIONAL KDV-T...cscpconf
In this paper, based on the definition of conformable fractional derivative, the functional
variable method (FVM) is proposed to seek the exact traveling wave solutions of two higherdimensional
space-time fractional KdV-type equations in mathematical physics, namely the
(3+1)-dimensional space–time fractional Zakharov-Kuznetsov (ZK) equation and the (2+1)-
dimensional space–time fractional Generalized Zakharov-Kuznetsov-Benjamin-Bona-Mahony
(GZK-BBM) equation. Some new solutions are procured and depicted. These solutions, which
contain kink-shaped, singular kink, bell-shaped soliton, singular soliton and periodic wave
solutions, have many potential applications in mathematical physics and engineering. The
simplicity and reliability of the proposed method is verified.
AUTOMATED PENETRATION TESTING: AN OVERVIEWcscpconf
The document discusses automated penetration testing and provides an overview. It compares manual and automated penetration testing, noting that automated testing allows for faster, more standardized and repeatable tests but has limitations in developing new exploits. It also reviews some current automated penetration testing methodologies and tools, including those using HTTP/TCP/IP attacks, linking common scanning tools, a Python-based tool targeting databases, and one using POMDPs for multi-step penetration test planning under uncertainty. The document concludes that automated testing is more efficient than manual for known vulnerabilities but cannot replace manual testing for discovering new exploits.
CLASSIFICATION OF ALZHEIMER USING fMRI DATA AND BRAIN NETWORKcscpconf
Since the mid of 1990s, functional connectivity study using fMRI (fcMRI) has drawn increasing
attention of neuroscientists and computer scientists, since it opens a new window to explore
functional network of human brain with relatively high resolution. BOLD technique provides
almost accurate state of brain. Past researches prove that neuro diseases damage the brain
network interaction, protein- protein interaction and gene-gene interaction. A number of
neurological research paper also analyse the relationship among damaged part. By
computational method especially machine learning technique we can show such classifications.
In this paper we used OASIS fMRI dataset affected with Alzheimer’s disease and normal
patient’s dataset. After proper processing the fMRI data we use the processed data to form
classifier models using SVM (Support Vector Machine), KNN (K- nearest neighbour) & Naïve
Bayes. We also compare the accuracy of our proposed method with existing methods. In future,
we will other combinations of methods for better accuracy.
VALIDATION METHOD OF FUZZY ASSOCIATION RULES BASED ON FUZZY FORMAL CONCEPT AN...cscpconf
The document proposes a new validation method for fuzzy association rules based on three steps: (1) applying the EFAR-PN algorithm to extract a generic base of non-redundant fuzzy association rules using fuzzy formal concept analysis, (2) categorizing the extracted rules into groups, and (3) evaluating the relevance of the rules using structural equation modeling, specifically partial least squares. The method aims to address issues with existing fuzzy association rule extraction algorithms such as large numbers of extracted rules, redundancy, and difficulties with manual validation.
PROBABILITY BASED CLUSTER EXPANSION OVERSAMPLING TECHNIQUE FOR IMBALANCED DATAcscpconf
In many applications of data mining, class imbalance is noticed when examples in one class are
overrepresented. Traditional classifiers result in poor accuracy of the minority class due to the
class imbalance. Further, the presence of within class imbalance where classes are composed of
multiple sub-concepts with different number of examples also affect the performance of
classifier. In this paper, we propose an oversampling technique that handles between class and
within class imbalance simultaneously and also takes into consideration the generalization
ability in data space. The proposed method is based on two steps- performing Model Based
Clustering with respect to classes to identify the sub-concepts; and then computing the
separating hyperplane based on equal posterior probability between the classes. The proposed
method is tested on 10 publicly available data sets and the result shows that the proposed
method is statistically superior to other existing oversampling methods.
CHARACTER AND IMAGE RECOGNITION FOR DATA CATALOGING IN ECOLOGICAL RESEARCHcscpconf
Data collection is an essential, but manpower intensive procedure in ecological research. An
algorithm was developed by the author which incorporated two important computer vision
techniques to automate data cataloging for butterfly measurements. Optical Character
Recognition is used for character recognition and Contour Detection is used for imageprocessing.
Proper pre-processing is first done on the images to improve accuracy. Although
there are limitations to Tesseract’s detection of certain fonts, overall, it can successfully identify
words of basic fonts. Contour detection is an advanced technique that can be utilized to
measure an image. Shapes and mathematical calculations are crucial in determining the precise
location of the points on which to draw the body and forewing lines of the butterfly. Overall,
92% accuracy were achieved by the program for the set of butterflies measured.
SOCIAL MEDIA ANALYTICS FOR SENTIMENT ANALYSIS AND EVENT DETECTION IN SMART CI...cscpconf
Smart cities utilize Internet of Things (IoT) devices and sensors to enhance the quality of the city
services including energy, transportation, health, and much more. They generate massive
volumes of structured and unstructured data on a daily basis. Also, social networks, such as
Twitter, Facebook, and Google+, are becoming a new source of real-time information in smart
cities. Social network users are acting as social sensors. These datasets so large and complex
are difficult to manage with conventional data management tools and methods. To become
valuable, this massive amount of data, known as 'big data,' needs to be processed and
comprehended to hold the promise of supporting a broad range of urban and smart cities
functions, including among others transportation, water, and energy consumption, pollution
surveillance, and smart city governance. In this work, we investigate how social media analytics
help to analyze smart city data collected from various social media sources, such as Twitter and
Facebook, to detect various events taking place in a smart city and identify the importance of
events and concerns of citizens regarding some events. A case scenario analyses the opinions of
users concerning the traffic in three largest cities in the UAE
SOCIAL NETWORK HATE SPEECH DETECTION FOR AMHARIC LANGUAGEcscpconf
The anonymity of social networks makes it attractive for hate speech to mask their criminal
activities online posing a challenge to the world and in particular Ethiopia. With this everincreasing
volume of social media data, hate speech identification becomes a challenge in
aggravating conflict between citizens of nations. The high rate of production, has become
difficult to collect, store and analyze such big data using traditional detection methods. This
paper proposed the application of apache spark in hate speech detection to reduce the
challenges. Authors developed an apache spark based model to classify Amharic Facebook
posts and comments into hate and not hate. Authors employed Random forest and Naïve Bayes
for learning and Word2Vec and TF-IDF for feature selection. Tested by 10-fold crossvalidation,
the model based on word2vec embedding performed best with 79.83%accuracy. The
proposed method achieve a promising result with unique feature of spark for big data.
GENERAL REGRESSION NEURAL NETWORK BASED POS TAGGING FOR NEPALI TEXTcscpconf
This article presents Part of Speech tagging for Nepali text using General Regression Neural
Network (GRNN). The corpus is divided into two parts viz. training and testing. The network is
trained and validated on both training and testing data. It is observed that 96.13% words are
correctly being tagged on training set whereas 74.38% words are tagged correctly on testing
data set using GRNN. The result is compared with the traditional Viterbi algorithm based on
Hidden Markov Model. Viterbi algorithm yields 97.2% and 40% classification accuracies on
training and testing data sets respectively. GRNN based POS Tagger is more consistent than the
traditional Viterbi decoding technique.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
2. 10 Computer Science & Information Technology (CS & IT)
compliance using test report. Certification will then be issued to the authorized product and will
receive the certification logo.
This kind of certification programs give positive effect to many users who plan to use certified
software products. But the users need some evaluation costs to check whether the products have
an adequate right quality and fit their corporate systems because the certified programs don’t
suggest the products’ quality and what kinds of evaluation process are used. So, we believe our
customers might reduce their evaluation cost if they get quality data to fit our customers’ request.
Most of quality data as metrics are related to the development process. For example, bugs ratio,
code review ratio, pass rate of test cases and test coverages are internal data under development
projects and they are very difficult to be used key value indicator unless they are used d by the
same development process. Those data are not suitable to standard scale for quality analysis
without explanation of software development cycle.
It is necessary to solve this issue for providing useful quality information for our customers. So,
our QA department had started to classify our products’ quality by using quality characteristics
which are specified in ISO/IEC 9126-1 [3]. But we realized that we have to spend much cost to
analyse our quality using the quality characteristics after end of development projects. Also,
classified quality by the characteristics doesn’t fit basic development process, like V-model or
agile model. Therefore, we considered to develop our own evaluation process using by quality
characteristics. This process needs unsynchronized toward development process and covers from
test planning process to completion process within software development cycle. Also, we finally
need to provide detailed test reports analysed by quality characteristics.
2. BACKGROUND AND PROBLEM
Our company has developed and maintained several software products. But we don’t have
companies’ standard development process and each development team decided development
process to suite their development style. Each QA team needed to create testing process to fit
each products. Unless using same development process, each QA teams had accumulated quality
metrics data, as like bugs ratio or test cases density per source codes, to use judgement for
product shipment. Those quality data depending on each development process and they were not
used to compare our products’ reliability. Also, it was definitely difficult to provide suitable
quality information for our customers for their evaluation of our products. Quality model using
quality characteristics specified in the ISO/IEC 9126-1 was some of key solutions to classify
software quality. But it was very difficult to classify the result of our test case in each test types to
fit quality characteristics. Therefore, we have started developing evaluation process to use quality
characteristics.
3. DEVELOPING QUALITY EVALUATION PROCESS
After analysing our evaluation process to define by quality characteristics, we realize that we
need to divide our evaluation process from development process. But complete splitting out from
development process raised our test cost because of rework due to bugs. We have placed the point
as a milestone which can synchronize development process and evaluation process to solve for
this rework. We decide to use quality characteristics for our key value indicator.
Our evaluation processes have three process, test planning, test management process for
monitoring and controlling verification and test completion process. Verification period has
several test levels which we call test stages. We define test planning period as alpha stage, test
3. Computer Science & Information Technology (CS & IT) 11
verification period as beta stages and test completion period as RC stage and those stages are
timely continuous, “Figure 1”.
But beta stages as verification period doesn’t need to keep turn like waterfall model. Each beta
stage has started from acceptance test for entrance criteria of test levels and QA managers can
decide whether test teams start the test level or not.
Figure 1. Brief of evaluation process
3.1. Test planning process
Test planning process includes developing master test plan (MTP) and level test plan (LTP). MTP
and LTP are finally authorised by stakeholders. QA managers write MTP with some of the test
baseds like product requirement plan, marketing requirement documents and product vision
documents. We use test document template which is specified in IEEE 829 [4]. QA managers
determine test strategy for their project and their think of test approach.
After test strategy is established, QA managers focus on definition of quality requirement for
shipment of our target software product. The quality is classified by each quality sub-
characteristic, “Table 1”.
Table 1. Example of definition of quality requirement
Characteristics Sub-
characteristics
Target quality
Functionality Suitability • The development requirement of new features have
been verified.
• Migration from past version are possible and
compatibility is collateral.
Accuracy • The results of new functional requirements are correct
and have been verified.
• Each product definition files developed by past
version are worked properly.
• All functions under English and Chinese environments
have same quality as Japanese environment.
• The result of scenario test has no problem under the
estimated users operations.
Interoperability • The results of combination of other WingArc products
have no problem.
Security • No vulnerability is found including used OSS
components and web interface..
Reliability Maturity • Each test level has analysis action for test coverage
and turn-around time to fix bugs.
• Each test level has quality improvement action
derived from quality analysis of previous test level.
• All bugs are verified at RC stage.
4. 12 Computer Science & Information Technology (CS & IT)
Fault Tolerance • Operations have perfect continuous even though one
node is stopped under clustering environment.
• Migration program is keeping on running under some
of definition files have some errors.
Recoverability • Past version of definition files can be saved even
though the files have some errors.
Usability Understand-
ability
• There is no difference between operation steps in
users’ manual and actual operation.
• Localized UI provide same quality as Japanese
environment.
Learnability • Sample files and tutorial manual can be used self-
study materials.
Operability • Scenario test includes behavior and procedures which
can be aware of target customers’ operations.
Efficiency Time Behavior • Performance is less or equal to maximum 3% than
past version.
• Concurrent multi-access test is performed with no
error.
• There is no high CPU load or I/O load condition under
some functional operations.
Resource
Utilization
• There is no memory leak under usual operations.
• Memory and I/O resources are effectively used.
Maintainability Analyzability • Functionality of debug logs are implemented and the
logs can be used for error analyzing.
Changeability • External API is easily extended.
Stability • The result of Load test have no error.
Testability • Testing layers are prepared between client and server
communications.
Portability Adaptability • Product is perfectly running under supported
environment.
Installability • Product is easily installed under supported
environment.
Co-Existence • Product can be used with antivirus software and
backup software.
replaceability • Product is easily replaced from past version.
QA managers define test level to accomplish the definition of quality requirement. Each test level
also has quality requirement classified by quality sub-characteristics and each test level has
several test types to fit the requirement and results of each test types become the evidence for
each target quality classified by quality sub-characteristics, “Figure 2”.
QA managers keep controlling cost of testing for functionality characteristics doesn’t exceed 70%
in total cost of all testing when QA managers develop for planning of test types. This reason is
that verification is not focused on functional test and concentrate on quality balance. Reference
value of 70% is composed of our statistical data of past projects.
There are two way to fit test types to each test level. One way is that QA managers list up test
types first and looks for dependency of each test type. After defining the dependency, QA
managers are mapping each test type to suitable test level referred by milestone, defined
synchronized point to development process.
5. Computer Science & Information Technology (CS & IT) 13
The other way is that QA managers define quality of each test level referred by milestone and
look for the test types to meet. We choose the way whether development process is clear or not.
After mapping test types to each test level, QA managers define quality characteristics for each
test level like “Table 2”.
QA managers also write organization of test teams, test bases, verification schedule, product and
project risk, training plan, policy of criteria, policy of test development and used metrics from
development process, to MTP referred by IEEE 829 template.
Figure 1. Outline of MTP developing process
Table 2. Mapping of quality characteristics to test levels
Stage Quality characteristics
Functionality Reliability Usability Efficiency Maintain-
ability
Portability
Beta1 ◎ ○ ○ ○
Beta2 ◎ ○ ◎ ○ ○
Beta3 ◎ ◎ ◎ ◎ ○ ○
RC ◎ ◎ ◎ ◎ ○ ○
After writing up MTP, QA managers or QA leaders start writing LTP. Basically LTP in our
evaluation process is only acceptance test plan for each test level. Policy of criteria for acceptance
test is defined in the MTP. This acceptance test is entrance criteria whether we can start the test
level or not.
While QA managers write the MTP and LTP, QA teams start test designs and analyse software
product by test types. QA managers manage test designs with test management process.
6. 14 Computer Science & Information Technology (CS & IT)
3.2. Acceptance test for test level
Acceptance test is entrance criteria for each test level. QA managers select less than 10% of test
cases from all test types with using stratification method and minimum set of all test types
operated in the test level, “Table 3”.
Our evaluation process defines period of acceptance test is within one week including all test
execution and test analysis. This rule means that we cannot spend much time if acceptance test is
failed.
According to this acceptance test, QA teams can reduce much rework because QA teams realise
the situation of software quality under development project. QA teams can request quality
improvement to the development with static testing if result of the acceptance test doesn’t reach
the criteria. QA managers can plan and evaluate several times of acceptance test unless they
couldn’t pass the criteria. QA managers can change criteria policy for the acceptance test under
negotiation with development teams.
By acceptance test as this entrance criteria for test level, QA teams can execute several beta
stages at same time even though QA teams don’t finish prior beta stages. For example, our QA
teams can execute beta1 stage and beta2 stage simultaneously unless both acceptance tests are
passed. This acceptance test as entrance criteria helps to reduce test cost.
Table 3. Example of acceptance test
User Type Test Types Guarantee of sub-characteristics
Beta2 Stage
New New requirement test Suitability
Accuracy
Interoperability
Security
Fault Tolerance
Recoverability
Resource Utilization
Upgrade Compatibility test Suitability
Accuracy
Interoperability
Security
Maturity
Fault Tolerance
Recoverability
Resource Utilization
New/Upgrade Performance test Time Behavior
Resource Utilization
Beta3 Stage
New/Upgrade Mobile function test Suitability
Accuracy
Interoperability
New/Upgrade Secinario test Suitability
Accuracy
Interoperability
Security
Maturity
Fault Tolerance
Recoverability
7. Computer Science & Information Technology (CS & IT) 15
Understandability
Learnability
Operability
Stability
New/Upgrade Quality inprovement test
at beta2
Suitability
Accuracy
Security
Maturity
Stability
New/Upgrade Performance and load test Time Behavior
Resource Utilization
Stability
New/Upgrade Platform test Suitability
Accuracy
Interoperability
Operability
3.3. Test management process as monitoring and controlling verification
Once the acceptance test is passed, QA teams execute all of test types as planned for each test
level. Each test types become tied to quality sub-characteristics performed at each test level. For
example, performance test ensures of Efficiency-Time Behaviour.
In test designing, QA teams develop test viewpoint for each test type. Test viewpoint is bird’s-eye
view representation to analyse test. We develop test viewpoints by design base or requirement
base and we define quality sub-characteristics to all test viewpoints. So, all test cases derived
from test viewpoint also have relationship with some quality sub-characteristics.
QA managers check progress of test execution to each test type. Also, they manage bugs founded
by those test types. Those bugs can also mapping to quality sub-characteristics because test cases
have definition of quality sub-characteristics, “Table 4”. QA managers can easily analyse what
the kind of sub-characteristics is weak.
Table 4. Example of found bugs at beta2 test stage
Characteristics Sub-Characteristics Total test cases Total Bugs
Functionality Suitability 848 7
Accuracy 9662 383
Security 97 2
Reliability Maturity 38 19
Usability Understandability 1543 60
Efficiency Time Behavior 1414 8
Resource Utilization 1414 8
Portability Installability 332 6
Replaceability 1513 55
Basically, definition of quality classified by quality characteristics is qualitative analysis, but, QA
managers define pass rate and test density for each test type derived from development process.
QA manages can analyse quality with both qualitative analysis and quantitative analysis.
8. 16 Computer Science & Information Technology (CS & IT)
Basically our test management process is no difference as usual test management process even
though quality characteristics are key value indicator. QA managers focus on progress of both test
design and test execution compared with plan and real progress.
3.4. Testing for ‘Quality in Use’
Quality model which is specified in ISO/IEC 9126 defines ‘Quality in Use’, “Figure 3”. This
quality characteristics need ready to use software for operation and sustain. Lack of this quality
rises total maintenance cost even though internal software quality is mature. But testing for
‘Quality in Use’ is difficult for ready to use software. One reason is our software customers use
our products with other software and their own system, therefore, we can’t estimate benefit of our
product easily. Another reason is characteristics at ‘Quality in Use’ is completely difficult to fit
within development project.
Figure 3. Definition of ‘Quality in Use’
Our QA teams evaluate quality characteristics on ‘Quality in Use’ with scenario testing and our
own test method. We define method of ‘Manual based Testing’, “Figure 4”. The method of
manual based testing is not testing for user manuals or some kind of documentations. The testing
method below has three approaches and their methods evaluate conjunction of software and user
manuals.
• Define four actors referred by persona for developing product and use cases
• Classify all functionalities by actors
• List up view points for reading and searching manuals by actors
We defined four actors: administrators, developers, power users and general users. Also, we
estimate some of functionalities used by specific actors and general users can’t distinguish
between individual system and ready to use software. So, we verify whether each manuals are
suitable for actors using by developing test cases. Using this method, we can check the quality
whether concept of functionalities and user documentations are matched completely. We also
define each use cases testing by actors.
We estimate unclear descriptions at manuals connect to lack of the quality, satisfaction
characteristics. Confusing and vague functionalities meets lack of productivity characteristics.
Also, Confusing manual is difficult to operate for administrators, it is considered as lower quality.
We can evaluate and guarantee quality characteristics at ‘Quality in Use’ by use case based
scenario testing and manual based testing.
9. Computer Science & Information Technology (CS & IT) 17
Figure 4. Concept of manual based testing method
3.5. Test completion process
A managers determine test level completion from result of each test type and verifies whether
cause of all bugs found at the test level are identified or not. QA managers can authorize
completion of the test level when all condition of test completion defined by MTP are verified.
QA manager can add extra test for quality improvement if QA managers judge QA team need to
find remaining bugs.
At RC stage, QA managers judge whether all quality definition written in MTP is completed
entirely or not. QA managers can declare end of all test.
Same as test management process, test completion process is no difference as usual process
except we deal quality characteristics with analysis method.
3.6. Quality report for customers
After end of all test, QA managers write test report. Test report is summarized result of all test.
QA managers write view of quality analysis classified by quality characteristics, as like bugs rate,
“Figure 5” and test cases rate, ”Figure 6”. QA managers describe the reason whether the project is
achieved the quality standard of our company for product releasement. The standard of our
company has four rank starting from B to AAA as like automobile car safety integrity. For
example, our quality standard of AAA needs that bugs rate is less than average of 3% through
evaluation process, test density(the number of test cases per kilo step of source codes) than 50,
and all quality characteristics are guaranteed with several test types.
QA managers need to describe product quality covered with both qualitative analysis and
quantitative analysis. All test results and data, especially performance test, multi-concurrent
access testing and load verification, and results of acceptance test at each test level is put at
appendix section. Those test results become evidence guaranteed to each quality characteristics.
Our test report is finally authorised by stakeholders and becomes complete evidence of project.
We also provide this test reports to our partners. The partners can easily judge our products’
10. 18 Computer Science & Information Technology (CS & IT)
quality and get variety of quality data at appendix section. Also, the partners can provide those
quality data to their customers who use or evaluate our developed products.
Figure 5. Bug rates classification by quality sub-characteristics
11. Computer Science & Information Technology (CS & IT) 19
Figure 6. Test cases ratio classification by quality sub-characteristics
This approach of providing test reports with analysed quality characteristics for customers meets
a part of concept of ISO/IEC 25051. According to this standard, customers can know risk,
functional quality, performance, test results, existed bugs information before they buy or use
ready to use software products. Our test report fits this think of the standard.
Our products have already get approval of PSQ certification by our test reports in Japan. We
believe our evaluation process and our test reports have much benefit for our customers.
4. EFFORT AND BENEFIT OF OUR EVALUATION PROCESS
Our evaluation process can fit any kind of development process unless it is development process
for ready to use software product. We have already adapted on our evaluation process to 7
development projects to release our software products. We can use the process both major release
and minor release without troubles.
12. 20 Computer Science & Information Technology (CS & IT)
The process has traceability with quality characteristics for key value indicator between MTP
with test reports. This process is unsynchronized to development process, therefore, it is easily to
add the process to usual development process, as like V-model, scrum process or agile process.
We think other companies which develop software products can use our evaluation process with
their own development process.
With using our evaluation process, we can reduce bugs found by our customers after releasement
of our products and also total evaluation cost. We can estimate our evaluation cost by writing
MTP and LTP in detail. QA teams can also develop test cases and execute the cases smoothly
referred to MTP. QA teams reduce rework according to lack of quality.
The benefit of our evaluation process can easily provide quality analysis and metrics data based
on quality characteristics. Our customers who receive our test reports can judge our products’
quality fairly to fit their corporate systems. We believe our test reports reduce cost of customers’
evaluation and validation whether our software products are suitable for their systems.
5. LIMITATION
Our evaluation process use quality characteristics based on ISO/IEC 9126-1. ISO/IEC 25051 is
based on ISO/IEC 25000 series, SQuaRE [5]. Therefore, Compatibility or Security characteristics
on ISO/IEC 25010 [6] are not fit our evaluation process. We need to change our quality
characteristics to support ISO/IEC 25010.
6. CONCLUSION AND FUTURE WORK
Our evaluation process starts how to provide quality data of our software products with easy
understanding and fairly to our customers. We want our customers to reduce much cost and time
for evaluation whether our software products fit their corporate systems. We use quality
characteristics at ISO/IEC 9126-1 to solve this issue and develop unsynchronized evaluation
process toward development process from test planning process for MTP to writing test reports.
Our evaluation process uses quality characteristics for key value indicator and acceptance test for
entrance criteria to verify progress of quality at each test level. By definition of test level, our
evaluation process is unsynchronized toward development process and the process has flexibility
to meet variety of development process. We believe many companies can use our way easily to
provide quality information by their test reports.
We have already started to implement quality characteristics based on ISO/IEC 25010 to satisfy
ISO/IEC 25051. According to ISO/IEC 25010, “Quality in use model” is defined with sub-
characteristics. We need to research mapping the characteristics at ‘Quality in Use’ to our use
cases testing. Also, we need to improve manual based testing and define metrics for the testing.
Approach of the testing method can improve quality both software and users manuals, but we
believe much of unclear test description in the method.
We have also developed detailed process to comply ISO/IEC/IEEE 29119-2 [7] and also test
documents are based on ISO/IEC/IEEE 29119-3 [8]. Our internal evaluation process, as like test
planning process and monitoring and controlling process to comply this software test process.
After our evaluation process supports those new standard, as like SQuaRE and ISO/IEC/IEEE
29119, our process becomes key solution to comply ISO/IEC 25051.
13. Computer Science & Information Technology (CS & IT) 21
REFERENCES
[1] ISO/IEC 25051:2014, Software engineering -- Systems and software Quality Requirements and Evaluation
(SQuaRE) -- Requirements for quality of Ready to Use Software Product (RUSP) and instructions for
testing
[2] PSQ Certification System, The Computer Software Association of Japan (CSAJ), http://www.psq-
japan.com/
[3] ISO/IEC 9126-1, Software engineering -- Product quality -- Part 1: Quality model
[4] IEEE 829, IEEE Standard for Software and System Test Documentation
[5] ISO/IEC 25000, Systems and software engineering -- Systems and software Quality Requirements and
Evaluation (SQuaRE) -- Guide to SQuaRE
[6] ISO/IEC 25010, Systems and software engineering -- Systems and software Quality Requirements and
Evaluation (SQuaRE) -- System and software quality models
[7] ISO/IEC/IEEE 29119-2, Software and systems engineering -- Software testing -- Part 2: Test processes
[8] ISO/IEC/IEEE 29119-3, Software and systems engineering -- Software testing -- Part 3: Test
documentation
[9] M. Azuma, (1996), “Software Products Evaluation System: Quality Model, Metrics and Process -
International Standards and Japanese Practice”, Inf. & Software Tech., Elsevier, Vol.38, No. 3.
[10] M. Azuma, (2000), “QUALITY IN USE; Its Concept, Metrics and Methodology”, Proceedings 2nd
WCSQ 2000
[11] M. Azuma, (2011), “The impact of ICT evolution and application explosion on software quality: a solution
by ISO/IEC 250nn square series of standards”, WoSQ'11 Proceedings of the 8th international workshop on
Software quality, Pages 1-2
[12] S. Ishikawa, T.Komiyama, (2013), “Systems and Software Quality: 6. Establishment of the International
Standard based Software Quality Certification Scheme”, Journal of Information Processing, the
Information Processing Society of Japan, in Japanese.
AUTHORS
Daiju Kato is Quality Assurance Director at WingArc1st Inc. He is now a doctor
course student of Tokyo Metropolitan University. His research interest includes quality
assurance, test automation, and evaluation process and database technology. He has
authored some books related with software testing and database skill in Japan.
Hiroshi Ishikawa received the B.S. and Ph.D degrees in Information Science from the
University of Tokyo. After working for Fujitsu Laboratories and being a full professor
of Shizuoka University, he is now a full professor of Tokyo Metropolitan University
from April, 2013. His research interests include database, data mining, and social big
data. He has published actively in international, refereed journals and conferences,
such as ACM TODS, IEEE TKDE, VLDB, IEEE ICDE, and ACM SIGSPATIAL. He
has authored some books, Social Big Data Mining (CRC Press). He is fellows of IPSJ
and IEICE (The Institute of Electronics, Information and Communication Engineers)
and members of ACM and IEEE.