DocumentCode :
2089524
Title :
Minimum Pairwise Coverage Using Constraint Programming Techniques
Author :
Gotlieb, Arnaud ; Hervieu, Alexandre ; Baudry, Benoit
Author_Institution :
Simula Res. Lab., Germs V& V Center, Norway
fYear :
2012
fDate :
17-21 April 2012
Firstpage :
773
Lastpage :
774
Abstract :
This paper presented the global constraint pairwise that can be used to enforce the presence of a given pair within a set of test cases or configurations. It also introduced several optimizations for implementing a method that computes the minimum set of test cases that covers pairwise. In addition, the method, seen as a constraint optimization problem, provides a way to compromise between time and efficiency by allowing anytime interruption or time-contract execution. Our approach has been implemented and evaluated on several instances of a test configurations generation problems [5] where input variables are boolean only. We envision to address other instances of these problem where the variables take their values in larger finite domains.
Keywords :
constraint handling; optimisation; constraint programming techniques; finite domains; global constraint pairwise; minimum pairwise coverage; test cases; test configurations; time-contract execution; Conferences; Software testing; Pairwise testing; constraint programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Testing, Verification and Validation (ICST), 2012 IEEE Fifth International Conference on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4577-1906-6
Type :
conf
DOI :
10.1109/ICST.2012.174
Filename :
6200186
Link To Document :
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