LEADER 03538nam 22005895 450 001 996546838603316 005 20230719192312.0 010 $a981-19-9948-1 024 7 $a10.1007/978-981-19-9948-2 035 $a(MiAaPQ)EBC30657018 035 $a(Au-PeEL)EBL30657018 035 $a(DE-He213)978-981-19-9948-2 035 $a(PPN)272250732 035 $a(EXLCZ)9927675024800041 100 $a20230719d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOptimising the Software Development Process with Artificial Intelligence$b[electronic resource] /$fedited by José Raúl Romero, Inmaculada Medina-Bulo, Francisco Chicano 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (349 pages) 225 1 $aNatural Computing Series,$x2627-6461 311 08$aPrint version: Romero, José Raúl Optimising the Software Development Process with Artificial Intelligence Singapore : Springer Singapore Pte. Limited,c2023 9789811999475 327 $aIntroduction -- Artificial Intelligence in Software Project Management -- Requirements Engineering -- Leveraging Artificial Intelligence for Model-based Software Analysis and Design -- Statistical Models and Machine Learning to Advance Code Completion -- Cloud development and deployment -- Automated Support for Unit Text Generation: A Tutorial Book Chapter -- Artificial Intelligence Techniques in System Testing -- Intelligent Software Maintenance -- Metaheuristics in a nutshell -- Foundations of Machine Learning for Software Engineering. 330 $aThis book offers a practical introduction to the use of artificial intelligence (AI) techniques to improve and optimise the various phases of the software development process, from the initial project planning to the latest deployment. All chapters were written by leading experts in the field and include practical and reproducible examples. Following the introductory chapter, Chapters 2-9 respectively apply AI techniques to the classic phases of the software development process: project management, requirement engineering, analysis and design, coding, cloud deployment, unit and system testing, and maintenance. Subsequently, Chapters 10 and 11 provide foundational tutorials on the AI techniques used in the preceding chapters: metaheuristics and machine learning. Given its scope and focus, the book represents a valuable resource for researchers, practitioners and students with a basic grasp of software engineering. 410 0$aNatural Computing Series,$x2627-6461 606 $aArtificial intelligence 606 $aSoftware engineering 606 $aMachine learning 606 $aArtificial Intelligence 606 $aSoftware Engineering 606 $aMachine Learning 615 0$aArtificial intelligence. 615 0$aSoftware engineering. 615 0$aMachine learning. 615 14$aArtificial Intelligence. 615 24$aSoftware Engineering. 615 24$aMachine Learning. 676 $a005.1028563 700 $aRomero$b José Raúl$01379061 701 $aMedina-Bulo$b Inmaculada$01379062 701 $aChicano$b Francisco$01362823 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996546838603316 996 $aOptimising the Software Development Process with Artificial Intelligence$93418539 997 $aUNISA