Copy the page URI to the clipboard
Ellims, Mike; Ince, Darrel and Petre, Marian
(2008).
DOI: https://doi.org/10.1007/978-3-540-87698-4_5
URL: http://www.springerlink.com/content/l096l66n337705...
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.
Viewing alternatives
Metrics
Public Attention
Altmetrics from AltmetricNumber of Citations
Citations from DimensionsItem Actions
Export
About
- Item ORO ID
- 24640
- Item Type
- Conference or Workshop Item
- 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 or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Centre for Research in Computing (CRC)
- Copyright Holders
- © 2008 Springer-Verlag
- Depositing User
- Catherine McNulty