Skip to the content

AI in software engineering: Current developments and future prospects

Meziane, F and Vadera, S 2009, 'AI in software engineering: Current developments and future prospects' , in: Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects , IGI Global, Hershey, New York, USA, pp. 273-294.

[img]
Preview
PDF
Download (1MB) | Preview

Abstract

Artificial intelligences techniques such as knowledge based systems, neural networks, fuzzy logic and data mining have been advocated by many researchers and developers as the way to improve many of the software development activities. As with many other disciplines, software development quality improves with the experience, knowledge of the developers, past projects and expertise. Software also evolves as it operates in changing and volatile environments. Hence, there is significant potential for using AI for improving all phases of the software development life cycle. This chapter provides a survey on the use of AI for software engineering that covers the main software development phases and AI methods such as natural language processing techniques, neural networks, genetic algorithms, fuzzy logic, ant colony optimization, and planning methods

Item Type: Book Section
Editors: Meziane, F and Vadera, S
Themes: Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science
Subjects outside of the University Themes
Schools: Colleges and Schools > College of Science & Technology
Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering
Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition Research Centre
Publisher: IGI Global
Refereed: Yes
ISBN: 978-1-60566-758-4
Related URLs:
Depositing User: Prof Farid Meziane
Date Deposited: 17 Jul 2009 10:31
Last Modified: 24 Jul 2014 10:53
URI: http://usir.salford.ac.uk/id/eprint/2208

Actions (login required)

Edit record (repository staff only) Edit record (repository staff only)

Downloads

Downloads per month over past year