Software engineering notes
Combinatorial testing methods address generation of test cases for problems involving multiple parameters and combinations. The Orthogonal Array Based Testing Strategy (OATS) is one such combinatorial testing method, a systematic, statistical way of testing pair-wise interactions. It provides representative (uniformly distributed) coverage of all variable pair combinations. This makes the technique particularly useful for testing of software, wherever there is combinatorial explosion: a. In
... xplosion: a. In system testing for handling feature interactions b. In integration testing components c. It is also quite useful for testing products with a large number of configuration possibilities. One of the fundamental assumptions behind OATS aprroach is that a subset covering all pair-wise combinations will be more effective than a randomly selected subset. OATS provides a means to select a minimal test set that guarantees testing the pair-wise combinations of all the selected variables. Covering pairwise combinations has been reported to be very effective in the literature. Successful use of this technique, with 50% effort saving and improved testing with a factor of 2.6 is reported in the literature. In this paper, we report on the in-house web-based application that we designed and implemented to support customized version of OATS and our experience in piloting and getting this method used in projects. In the inhouse tool we have introduced a number of additional features, that help in generation and post processing of testcases. We have also designed a supporting process for using this method, and we discuss the steps in this process in the paper. We share details on application in feature testing of a mobile phone application. This method has also been successfully used in designing feature interaction test cases and for augmenting the regression suite to increase coverage.