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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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Optimising the Software Development Process with Artificial Intelligence (Hardcover, 1st ed. 2023) Loot Price: R4,809
Discovery Miles 48 090
Optimising the Software Development Process with Artificial Intelligence (Hardcover, 1st ed. 2023): José Raúl Romero,...

Optimising the Software Development Process with Artificial Intelligence (Hardcover, 1st ed. 2023)

José Raúl Romero, Inmaculada Medina-Bulo, Francisco Chicano

Series: Natural Computing Series

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Loot Price R4,809 Discovery Miles 48 090 | Repayment Terms: R451 pm x 12*

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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.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Natural Computing Series
Release date: September 2023
First published: 2023
Editors: José Raúl Romero • Inmaculada Medina-Bulo • Francisco Chicano
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 344
Edition: 1st ed. 2023
ISBN-13: 978-981-19-9947-5
Categories: Books > Computing & IT > Computer programming > Software engineering
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 981-19-9947-3
Barcode: 9789811999475

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