Using Artificial Intelligence to solve problems in Software Quality Management

Burgess Colin J.

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Abstract

It is not uncommon for well established techniques in one particular research area to find good applications in a completely different field. This paper seeks to review instances where established techniques from the realm of Artificial intelligence have been applied to problems in Software Quality Management. This review is not meant to be exhaustive but will outline four areas where Artificial Intelligence techniques have been successfully used. These are:- 1. The application of genetic algorithms and other search techniques to aid the automatic generation of structural test data. 2. The application of genetic algorithms to the testing of real-time systems. 3. The use of influence diagrams to aid the management of software change. 4. Improving the cost estimation of software projects. d The overall purpose of the paper is to stimulate thought on how these, or other Artificial Intelligence techniques, could be used to either enhance the applications presented or solve other problems arising in Software Quality Management.
Translated title of the contributionUsing Artificial Intelligence to solve problems in Software Quality Management
Original languageEnglish
Title of host publication8th International Conference on Software Quality Management(SQM2000)
Subtitle of host publicationSoftware Quality Management VIII
Pages77-89
Number of pages13
Publication statusPublished - 1 Apr 2000

Bibliographical note

ISBN: 1902505255
Publisher: British Computer Society
Name and Venue of Conference: 8th International Conference on Software Quality Management(SQM2000), Software Quality Management VIII
Other identifier: 1000451

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