Agile Software Development Quality Assurance


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Agile Software Development Quality Assurance


Agile Software Development Quality Assurance

Author: Stamelos, Ioannis G.

language: en

Publisher: IGI Global

Release Date: 2007-02-28


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"This book provides the research and instruction used to develop and implement software quickly, in small iteration cycles, and in close cooperation with the customer in an adaptive way, making it possible to react to changes set by the constant changing business environment. It presents four values explaining extreme programming (XP), the most widely adopted agile methodology"--Provided by publisher.

Quality Assurance in Agile Methodology


Quality Assurance in Agile Methodology

Author: Syed Hassan Shah

language: en

Publisher:

Release Date: 2018-07


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Academic Paper from the year 2018 in the subject Computer Science - Software, grade: 3.5, Shaheed Zulfikar Ali Bhutto Institute of Science & Technology (Dubai Campus), course: Independent Study, language: English, abstract: Quality Assurance activities, in software development, are the backbone of any software development. Quality Assurance activities are not only responsible of product quality, but also for process development quality. In conventional software development Quality Assurance is looked after by a separate team. As the trends of software development moved towards Agile development, Quality Assurance activities also got changed. In Agile development developers perform most of the activities such as close collaboration among developer team; onsite customer and Test Developers. Test Driven Development is the approaches in agile development to achieve better product quality. In this study I highlighted the importance of Quality Assurance in different Agile methodologies. Mindset of Agile development always revolves around product quality but there is much work to be done to impart quality of process in agile development to get it standardized and more organized product. Quality Assurance activities remain centric and focused to testing. In this study I have compared different Agile methodologies and also highlighted the factors of Quality Assurance in each Agile method which can be improve overall software development of any product using Agile method. I proposed to add an extra layer of Quality Assurance in Agile projects. Purpose of inserting an extra layer, is to use the knowledge of Quality Assurance experts to achieve quality product in development process which will results in higher level of product quality.

Agile Software Development


Agile Software Development

Author: Susheela Hooda

language: en

Publisher: John Wiley & Sons

Release Date: 2023-03-14


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AGILE SOFTWARE DEVELOPMENT A unique title that introduces the whole range of agile software development processes from the fundamental concepts to the highest levels of applications such as requirement analysis, software testing, quality assurance, and risk management. Agile Software Development (ASD) has become a popular technology because its methods apply to any programming paradigm. It is important in the software development process because it emphasizes incremental delivery, team collaboration, continuous planning, and learning over delivering everything at once near the end. Agile has gained popularity as a result of its use of various frameworks, methods, and techniques to improve software quality. Scrum is a major agile framework that has been widely adopted by the software development community. Metaheuristic techniques have been used in the agile software development process to improve software quality and reliability. These techniques not only improve quality and reliability but also test cases, resulting in cost-effective and time-effective software. However, many significant research challenges must be addressed to put such ASD capabilities into practice. With the use of diverse techniques, guiding principles, artificial intelligence, soft computing, and machine learning, this book seeks to study theoretical and technological research findings on all facets of ASD. Also, it sheds light on the latest trends, challenges, and applications in the area of ASD. This book explores the theoretical as well as the technical research outcomes on all the aspects of Agile Software Development by using various methods, principles, artificial intelligence, soft computing, and machine learning. Audience The book is designed for computer scientists and software engineers both in research and industry. Graduate and postgraduate students will find the book accessible as well.