Optimising the Software Development Process with Artificial Intelligence

2023
ISBN: 978-981-19-9950-5
Verlag: Springer Nature Singapore

Buch, Englisch, 344 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 546 g

Reihe: Natural Computing Series

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.

Zielgruppe

Research

Autoren/Hrsg.

Romero, José Raúl

Chicano, Francisco

Medina-Bulo, Inmaculada

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering

Inhaltsverzeichnis

Introduction.- 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.

Über Autor(innen)

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.