Software Vaccination: An Artificial Immune Systems Approach

May, P. and Mander, K.C. and Timmis, Jon (2003) Software Vaccination: An Artificial Immune Systems Approach. In: Proceedings of the 2nd International Conference on Artificial Immune Systems, SEP 01-03, 2003, Edinburgh Scotland. (The full text of this publication is not available from this repository)

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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: Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:00
Last Modified: 08 May 2012 13:00
Resource URI: http://kar.kent.ac.uk/id/eprint/13906 (The current URI for this page, for reference purposes)
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