Ellims, Mike; Ince, Darrel and Petre, Marian
(2008).
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| URL: | http://www.springerlink.com/content/l096l66n337705... |
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| DOI (Digital Object Identifier) Link: | https://doi.org/10.1007/978-3-540-87698-4_5 |
| Google Scholar: | Look up in Google Scholar |
Abstract
This paper reports the results of a study comparing the effectiveness of automatically generated tests constructed using random and t-way combinatorial techniques on safety related industrial code using mutation adequacy criteria. A reference point is provided by hand generated test vectors constructed during development to establish minimum acceptance criteria. The study shows that 2-way testing is not adequate measured by mutants kill rate compared with hand generated test set of similar size, but that higher factor t-way test sets can perform at least as well. To reduce the computation overhead of testing large numbers of vectors over large numbers of mutants a staged optimising approach to applying t-way tests is proposed and evaluated which shows improvements in execution time and final test set size.
| Item Type: | Conference or Workshop Item |
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| Copyright Holders: | 2008 Springer-Verlag |
| ISSN: | 0302-9743 |
| Extra Information: | In Lecture Notes in Computer Science, vol.5219/2008, pp.16-29 |
| Keywords: | Software testing; random testing; automated test generation; unit test; combinatorial design; pairwise testing; t-way testing; mutation |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) |
| Item ID: | 24640 |
| Depositing User: | Catherine McNulty |
| Date Deposited: | 11 Nov 2010 09:09 |
| Last Modified: | 04 Oct 2016 16:46 |
| URI: | http://oro.open.ac.uk/id/eprint/24640 |
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