Optimising the Software Development Process with Artificial Intelligence
Language: English
Published by Springer, Springer Jul 2023, 2023
- Hardcover
- New
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
AbeBooks seller since January 23, 2017
Condition: New
£ 186.83
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Add to basketItem description from seller
This item is printed on demand - Print on Demand Titel. Neuware -This book offers a practical introduction to the use of artificial intelligence (AI) techniques to improve and optimise the various phases of the software development process, from the initial project planning to the latest deployment. All chapters were written by leading experts in the field and include practical and reproducible examples.Following the introductory chapter, Chapters 2-9 respectively apply AI techniques to the classic phases of the software development process: project management, requirement engineering, analysis and design, coding, cloud deployment, unit and system testing, and maintenance. Subsequently, Chapters 10 and 11 provide foundational tutorials on the AI techniques used in the preceding chapters: metaheuristics and machine learning. Given its scope and focus, the book represents a valuable resource for researchers, practitioners and students with a basic grasp of software engineering.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 360 pp. Englisch.…
Seller Inventory # 9789811999475
- Title
- Optimising the Software Development Process with Artificial Intelligence
- Author
- José Raúl Romero
- Publisher
- Springer, Springer Jul 2023
- Publication year
- 2023
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 9811999473
- ISBN 13
- 9789811999475
- Item weight
- 705 grams
- Dimensions
- 241x160x25 mm
Following the introductory chapter, Chapters 2-9 respectively apply AI techniques to the classic phases of the software development process: project management, requirement engineering, analysis and design, coding, cloud deployment, unit and system testing, and maintenance. Subsequently, Chapters 10 and 11 provide foundational tutorials on the AI techniques used in the preceding chapters: metaheuristics and machine learning. Given its scope and focus, the book represents a valuable resource for researchers, practitioners and students with a basic grasp of software engineering.
"Synopsis" may belong to another edition of this title.
About the Author
Inma Medina received her PhD in Computer Science at the Univ. of Seville. She has worked in the Dep. of Computer Science and Engineering of the Univ. of Cádiz (Spain) since 1995. She pursues an international projection with strong links to other groups in Spain, Germany, and UK. She publishes in top international venues and contribute with reviewing and conference organisation. She has led several PhD Thesis, projects and excellence networks too, developed software tools, participated in specialised consulting and data analysis contracts, and her current research interests focus on software testing, search based software engineering, SOA 2.0, CEP, big data, IoT, and decision making.
Francisco Chicano is an associate professor in the Department of Languages and Computing Sciences at the University of Málaga. His research interests include the application of search techniques to Software Engineering problems and the use of theoretical results to efficiently solve combinatorial optimization problems. He is on the editorial board of Journal of Systems and Software, Evolutionary Computation Journal, Engineering Applications of Artificial Intelligence, ACM Transactions on Evolutionary Learning and Optimization and Mathematical Problems in Engineering.
"About the title" may belong to another edition of this title.
buchversandmimpf2000
Emtmannsberg, BAYE, Germany
AbeBooks seller since January 23, 2017
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