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Optimising the Software Development Process with Artificial Intelligence, 2023

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José Raúl Romero, Inmaculada Medina-Bulo, Francisco Chicano:
Optimising the Software Development Process with Artificial Intelligence. Natural Computing Series, Springer 2023, ISBN 978-981-19-9948-2
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José Raúl Romero, Inmaculada Medina-Bulo, Francisco Chicano:
Introduction. 1-16
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Liyan Song, Leandro L. Minku:
Artificial Intelligence in Software Project Management. 19-65
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Fitsum Meshesha Kifetew, Anna Perini, Angelo Susi:
Requirements Engineering. 67-91
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Antonio Garmendia, Dominik Bork, Martin Eisenberg, Thiago do Nascimento Ferreira, Marouane Kessentini, Manuel Wimmer:
Leveraging Artificial Intelligence for Model-based Software Analysis and Design. 93-117
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Tien N. Nguyen:
Statistical Models and Machine Learning to Advance Code Completion: Are We There Yet? 121-153
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José Antonio Parejo, Ana Belén Sánchez:
Cloud Development and Deployment. 155-176
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Afonso Fontes, Gregory Gay, Francisco Gomes de Oliveira Neto, Robert Feldt:
Automated Support for Unit Test Generation. 179-219
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Michael Felderer, Eduard Paul Enoiu, Sahar Tahvili:
Artificial Intelligence Techniques in System Testing. 221-240
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Foutse Khomh, Mohammad Masudur Rahman, Antoine Barbez:
Intelligent Software Maintenance. 241-275
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Javier Ferrer, Pedro Delgado-Pérez:
Metaheuristics in a Nutshell. 279-307
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Aurora Ramírez, Breno Miranda:
Foundations of Machine Learning for Software Engineering. 309-344

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