Agile Software Engineering
Language: English
Published by Lulu.com, GB, 2025
- Hardcover
- New

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Hardcover
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- Title
- Agile Software Engineering
- Author
- Alaa M Momani
- Publisher
- Lulu.com, GB
- Publication year
- 2025
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 1326689673
- ISBN 13
- 9781326689674
- Item weight
- 767 grams
- Dimensions
- 15.6 x 2.39 x 23.39 cm
Agile Software Engineering: Best Practices and Techniques is a comprehensive guide to understanding and implementing Agile methodologies in modern software development. The book covers foundational concepts, advanced practices, and future trends in Agile. It introduces key Agile principles, contrasts them with traditional plan-driven models, and explores various frameworks such as Scrum, Kanban, Extreme Programming, and Lean Software Development, providing guidance on selecting the right approach. Roles and responsibilities in Agile teams, project management techniques, planning strategies, and the integration of DevOps with Agile are explained in detail, supported by real-world case studies. Challenges in Agile adoption, including organizational resistance, skill gaps, and scaling for large enterprises are examined with practical solutions. The book concludes with insights into emerging trends, including Artificial Intelligence's role in Agile and its future in software engineering. With practical exercises, summaries, and case studies, this book serves as an essential resource for software professionals and organizations aiming to optimize their Agile practices.
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About the Author
Dr. Alaa M. Momani is currently a faculty member at Skyline University College, Sharjah, UAE. He obtained his PhD degree in Software Engineering. He has experience in teaching at several universities in Jordan, Saudi Arabia, Malaysia, and UAE where he has been in the academic field since 2005. He has valuable research articles published in international journals and participated in conferences as an author or reviewer. His research interests lie in the area of software engineering, technology acceptance and usage behaviors, artificial intelligence, machine learning, e-commerce, e-tourism, e-learning, social applications, expert systems, and decision support systems.
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