Towards Automatic Constraint Elicitation in Test Design: Preliminary Evaluation Based on Collective Intelligence
2015 30th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW) (2015)
Lincoln, NE, USA
Nov. 9, 2015 to Nov. 13, 2015
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ASEW.2015.13
Constraint elicitation is an important process in test design since constraints determine the test space, however, the constraint elicitation process, which is known as a daunting task, has not been well studied. It usually requires manual capturing and precise definition of constraints. In this paper, we try to automate a part of the constraint elicitation process in combinatorial test design. Pair-wise testing, a common combinatorial testing approach, is an effective test planning technique for finding interaction faults using a small set of test cases. We propose a collective intelligence approach to determining which value combinations are potential constraints. We conduct preliminary experiments on two examples, a traditional cross-browser testing example and an ATM system example, and evaluate the feasibility of our approach.
Browsers, Testing, Linux, Media, Web search, Engines
H. Nakagawa and T. Tsuchiya, "Towards Automatic Constraint Elicitation in Test Design: Preliminary Evaluation Based on Collective Intelligence," 2015 30th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW), Lincoln, NE, USA, 2016, pp. 58-61.