Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/6065
Title: Prioritizing MCDC test cases by spectral analysis of Boolean functions
Authors: Ayav, Tolga
Keywords: Test prioritization
MCDC
Boolean functions
Spectral analysis
Mutation analysis
Issue Date: Aug-2017
Publisher: John Wiley and Sons Inc.
Source: Ayav, T. (2017). Prioritizing MCDC test cases by spectral analysis of Boolean functions. Software Testing, Verification and Reliability. doi:10.1002/stvr.1641
Abstract: Test case prioritization aims at scheduling test cases in an order that improves some performance goal. One performance goal is a measure of how quickly faults are detected. Such prioritization can be performed by exploiting the Fault Exposing Potential (FEP) parameters associated to the test cases. FEP is usually approximated by mutation analysis under certain fault assumptions. Although this technique is effective, it could be relatively expensive compared to the other prioritization techniques. This study proposes a cost-effective FEP approximation for prioritizing Modified Condition Decision Coverage (MCDC) test cases. A strict negative correlation between the FEP of a MCDC test case and the influence value of the associated input condition allows to order the test cases easily without the need of an extensive mutation analysis. The method is entirely based on mathematics and it provides useful insight into how spectral analysis of Boolean functions can benefit software testing.
URI: http://doi.org/10.1002/stvr.1641
http://hdl.handle.net/11147/6065
ISSN: 0960-0833
0960-0833
1099-1689
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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