000			03384nam a22002417a 4500
005			20250505114959.0
008			250505b |||||||| |||| 00| 0 eng d
020			_a9789811999475
082			_a006.3 _bROM
245			_aOptimising the software development process with artificial intelligence
260			_bSpringer _aSingapore _c2023
300			_axvi, 344 p.
365			_aEUR _b169.99
490			_aNatural Computing Series (NCS)
500			_aTable of contents: Front Matter Pages i-xvi Download chapter PDF Introduction José Raúl Romero, Inmaculada Medina-Bulo, Francisco Chicano Pages 1-16 Planning and Analysis Front Matter Pages 17-17 Download chapter PDF Artificial Intelligence in Software Project Management Liyan Song, Leandro L. Minku Pages 19-65 Requirements Engineering Fitsum Kifetew, Anna Perini, Angelo Susi Pages 67-91 Leveraging Artificial Intelligence for Model-based Software Analysis and Design Antonio Garmendia, Dominik Bork, Martin Eisenberg, Thiago Ferreira, Marouane Kessentini, Manuel Wimmer Pages 93-117 Development and Deployment Front Matter Pages 119-119 Download chapter PDF Statistical Models and Machine Learning to Advance Code Completion: Are We There Yet? Tien N. Nguyen Pages 121-153 Cloud Development and Deployment José Antonio Parejo, Ana Belén Sánchez Pages 155-176 Testing and Maintenance Front Matter Pages 177-177 Download chapter PDF Automated Support for Unit Test Generation Afonso Fontes, Gregory Gay, Francisco Gomes de Oliveira Neto, Robert Feldt Pages 179-219 Artificial Intelligence Techniques in System Testing Michael Felderer, Eduard Paul Enoiu, Sahar Tahvili Pages 221-240 Intelligent Software Maintenance Foutse Khomh, Mohammad Masudur Rahman, Antoine Barbez Pages 241-275 AI Techniques from Scratch Front Matter Pages 277-277 Download chapter PDF Metaheuristics in a Nutshell Javier Ferrer, Pedro Delgado-Pérez Pages 279-307 Foundations of Machine Learning for Software Engineering Aurora Ramírez, Breno Miranda Pages 309-344 [https://link.springer.com/book/10.1007/978-981-19-9948-2]
520			_aThis 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. (https://link.springer.com/book/10.1007/978-981-19-9948-2)
650			_aArtificial intelligence
650			_aSoftware development process _923784
700			_aRomero, José Raúl [Editor] _923785
700			_aMedina-Bulo [Editor] _923786
700			_aFrancisco, Chicano [Editor] _923787
942			_cBK _2ddc
999			_c9763 _d9763