Optimising the software development process with artificial intelligence / José Raúl Romero, Inmaculada Medina-Bulo, Francisco Chicano, editors.

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Bibliographic Details
Other Authors: Romero, José Raúl, Medina-Bulo, Inmaculada, Chicano, Francisco
Format: eBook
Language:English
Published: Singapore : Springer, 2023.
Series:Natural computing series.
Subjects:
Online Access:Click for online access
Description
Summary: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.
Item Description:5.4.1 Deep Neural Network language Model
Physical Description:1 online resource (349 p.).
ISBN:9789811999482
9811999481
Source of Description, Etc. Note:Online resource; title from PDF title page (SpringerLink, viewed July 26, 2023).