Agile Software Development: trends, challenges and applications
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 (AS...
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| Other Authors: | , , , , |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hoboken, NJ Beverly, MA
John Wiley & Sons
2023
Hoboken, NJ Beverly, MA Scibener 2023 |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781119896395/?ar |
| Summary: | 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. |
| Item Description: | Description based on online resource; title from digital title page (viewed on April 25, 2023) |
| Physical Description: | 1 Online-Ressource |
| ISBN: | 9781119896821 1119896827 9781119896838 1119896835 9781119896814 1119896819 9781119896395 |
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| 520 | |a 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. | ||
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| spelling | Agile Software Development trends, challenges and applications edited by Susheela Hooda, Vandana Mohindru Sood, Yashwant Singh, Sandeep Dalal and Manu Sood Hoboken, NJ Beverly, MA John Wiley & Sons 2023 Hoboken, NJ Beverly, MA Scibener 2023 ©2023 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Description based on online resource; title from digital title page (viewed on April 25, 2023) 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. Agile software development Méthodes agiles (Développement de logiciels) Hooda, Susheela HerausgeberIn edt Sood, Vandana Mohindru HerausgeberIn edt Singh, Yashwant HerausgeberIn edt Dalal, Sandeep HerausgeberIn edt Sood, Manu HerausgeberIn edt 1119896398 Erscheint auch als Druck-Ausgabe 1119896398 |
| spellingShingle | Agile Software Development trends, challenges and applications Agile software development Méthodes agiles (Développement de logiciels) |
| title | Agile Software Development trends, challenges and applications |
| title_auth | Agile Software Development trends, challenges and applications |
| title_exact_search | Agile Software Development trends, challenges and applications |
| title_full | Agile Software Development trends, challenges and applications edited by Susheela Hooda, Vandana Mohindru Sood, Yashwant Singh, Sandeep Dalal and Manu Sood |
| title_fullStr | Agile Software Development trends, challenges and applications edited by Susheela Hooda, Vandana Mohindru Sood, Yashwant Singh, Sandeep Dalal and Manu Sood |
| title_full_unstemmed | Agile Software Development trends, challenges and applications edited by Susheela Hooda, Vandana Mohindru Sood, Yashwant Singh, Sandeep Dalal and Manu Sood |
| title_short | Agile Software Development |
| title_sort | agile software development trends challenges and applications |
| title_sub | trends, challenges and applications |
| topic | Agile software development Méthodes agiles (Développement de logiciels) |
| topic_facet | Agile software development Méthodes agiles (Développement de logiciels) |
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