May, Peter S, Mander, Keith C., Timmis, Jon (2003) Software Vaccination: An Artificial Immune Systems Approach. In: Timmis, Jon and Bentley, Peter J. and Hart, Emma, eds. Proceedings of the 2nd International Conference on Artificial Immune Systems. Lecture Notes in Computer Science , 2787. pp. 81-92. Springer ISBN 3-540-40766-9. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13906)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://www.cs.kent.ac.uk/pubs/2003/1694 |
Abstract
Over time programming languages develop, paradigms evolve, development teams change. The effect of this is that test suites wear out, therefore these also need to evolve. Mutation testing is an effective fault-based testing approach, but it is computationally expensive. Any evolutionary based approach to this process needs to simultaneously manage execution costs. In this conceptual paper we adopt immune systems as a metaphor for the basis of an alternative mutation testing system. It is envisaged that through monitoring of the development environment, a minimal set of effective mutations and test cases can be developed - a 'vaccine' - that can be applied to the software development process to protect it from errors - from infections.
Item Type: | Conference or workshop item (UNSPECIFIED) |
---|---|
Uncontrolled keywords: | artificial immune systems, software testing |
Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Mark Wheadon |
Date Deposited: | 24 Nov 2008 18:00 UTC |
Last Modified: | 05 Nov 2024 09:47 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/13906 (The current URI for this page, for reference purposes) |
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):