Applying Combinatorial Testing to the Siemens Suite

Published

March 22, 2013

Author(s)

Laleh Ghandehari, Mehra N. Borazjany, Yu Lei, Raghu N. Kacker, D. Richard Kuhn

Abstract

Combinatorial testing has attracted a lot of attention from both industry and academia. A number of reports suggest that combinatorial testing can be effective for practical applications. However, there still seems to lack systematic, controlled studies on the effectiveness of combinatorial testing. In particular, input parameter modeling is a key step in the combinatorial testing process. But most studies do not report the details of the modeling process. In this paper, we report an experiment that applies combinatorial testing to the Siemens suite. The Siemens suite has been used as a benchmark to evaluate the effectiveness of many testing techniques. Each program in the suite has a number of faulty versions. The effectiveness of combinatorial testing is measured in terms of the number of faulty versions that are killed. The experimental results show that combinatorial testing is effective in terms of killing most of the faulty versions with a small number of tests. In addition, we report the details of our modeling process, which we hope to shed some lights on this critical, yet often ignored step, in the combinatorial testing process.

Proceedings Title

Proceedings of Sixth IEEE International Conference on Software Testing, Verification and Validation
ICST 2013

Conference Dates

March 18-22, 2013

Conference Location

Luxembourg, LT

Conference Title

Second International Workshop on Combinatorial Testing

Pub Type

Conferences

Download Paper

https://doi.org/10.1109/ICSTW.2013.47

Local Download

Keywords

Combinatorial Testing, Input Modeling, Software Testing

Citation

Ghandehari, L. , Borazjany, M. , Lei, Y. , Kacker, R. and Kuhn, D. (2013), Applying Combinatorial Testing to the Siemens Suite, Proceedings of Sixth IEEE International Conference on Software Testing, Verification and Validation ICST 2013, Luxembourg, LT, [online], https://doi.org/10.1109/ICSTW.2013.47, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=913206 (Accessed October 31, 2024)