Overview
- Presents practical and reproducible examples
- Covers the individual phases of the software development lifecycle
- Written by leading researchers in the field of AI-assisted software process optimization
Part of the book series: Natural Computing Series (NCS)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
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.
Similar content being viewed by others
Keywords
Table of contents (11 chapters)
-
Front Matter
-
Development and Deployment
-
Front Matter
-
-
Testing and Maintenance
-
Front Matter
-
-
AI Techniques from Scratch
-
Front Matter
-
Editors and Affiliations
About the editors
Jose Raúl Romero is an associate professor in the Department of Computer Science and Numerical Analysis at University of Córdoba. He has published over 100 papers in journals, books and scientific conferences, and collaborated in different research projects and excellence networks. He actively collaborates in transferring his research to industry. His research interests include the development of intelligent systems for supporting the software development process and the democratization and automation of data science. Before that, he worked as IT consultant in Big Four companies, and he is currently a technical member of the Spanish standardization agency AENOR, committee AEN/CTN 71/SC7 on Software Engineering and Systems.
Inma Medina received her PhD in Computer Science at the Univ. of Seville. She has worked in the Dep. of Computer Science and Engineering of the Univ. of Cádiz (Spain) since 1995. She pursues an international projection with strong links to other groups in Spain, Germany, and UK. She publishes in top international venues and contribute with reviewing and conference organisation. She has led several PhD Thesis, projects and excellence networks too, developed software tools, participated in specialised consulting and data analysis contracts, and her current research interests focus on software testing, search based software engineering, SOA 2.0, CEP, big data, IoT, and decision making.
Francisco Chicano is an associate professor in the Department of Languages and Computing Sciences at the University of Málaga. His research interests include the application of search techniques to Software Engineering problems and the use of theoretical results to efficiently solve combinatorial optimization problems. He is on the editorial board of Journal of Systems and Software, Evolutionary Computation Journal, Engineering Applications of Artificial Intelligence, ACM Transactions on Evolutionary Learning and Optimization and Mathematical Problems in Engineering.
Accessibility Information
Accessibility information for this book is coming soon. We're working to make it available as quickly as possible. Thank you for your patience.
Bibliographic Information
Book Title: Optimising the Software Development Process with Artificial Intelligence
Editors: José Raúl Romero, Inmaculada Medina-Bulo, Francisco Chicano
Series Title: Natural Computing Series
DOI: https://doi.org/10.1007/978-981-19-9948-2
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-19-9947-5Published: 20 July 2023
Softcover ISBN: 978-981-19-9950-5Published: 20 July 2024
eBook ISBN: 978-981-19-9948-2Published: 19 July 2023
Series ISSN: 1619-7127
Series E-ISSN: 2627-6461
Edition Number: 1
Number of Pages: XVI, 344
Number of Illustrations: 32 b/w illustrations, 115 illustrations in colour
Topics: Artificial Intelligence, Software Engineering/Programming and Operating Systems, Machine Learning