Agile Software Development: Trends, Challenges and Applications
by Susheela Hooda (Editor), Vandana Mohindru Sood (Editor), Yashwant Singh (Editor), Sandeep Dalal (Editor), Manu Sood (Editor)
Publisher finelybook 出版社: Wiley-Scrivener; (March 14, 2023)
Language 语言: English
Print Length 页数: 400 pages
ISBN-10: 1119896398
ISBN-13: 9781119896395
Book Description
By finelybook
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.
