Abstract
Combinatorial interaction testing (CIT) is a useful testing technique to address the interaction of input parameters in software
systems. CIT has been used as a systematic technique to sample the enormous test possibilities. Most of the research activities
focused on the generation of CIT test suites as a computationally complex problem. Less effort has been paid for the application
of CIT. To apply CIT, practitioners must identify the input parameters for the Software-under-test (SUT), feed these parameters
to the CIT test generation tool, and then run those tests on the application with some pass and fail criteria for verification.
Using this approach, CIT is used as a black-box testing technique without knowing the effect of the internal code. Although
useful, practically, not all the parameters having the same impact on the SUT. This paper introduces a different approach
to use the CIT as a gray-box testing technique by considering the internal code structure of the SUT to know the impact of
each input parameter and thus use this impact in the test generation stage. The case studies results showed that this approach
would help to detect new faults as compared to the equal impact parameter approach.
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