Issue No. 01 - January/February (2009 vol. 35)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TSE.2008.73
Robin Abraham , Oregon State University, Corvallis
Martin Erwig , Oregon State University, Corvallis
Based on (1) research into mutation testing for general purpose programming languages, and (2) spreadsheet errors that have been reported in the literature, we have developed a suite of mutation operators for spreadsheets. We present an evaluation of the mutation adequacy of du-adequate test suites generated by a constraint-based automatic test-case generation system we have developed in previous work. The results of the evaluation suggest additional constraints that can be incorporated into the system to target mutation adequacy. In addition to being useful in mutation testing of spreadsheets, the operators can be used in the evaluation of error-detection tools and also for seeding spreadsheets with errors for empirical studies. We describe two case studies where the suite of mutation operators helped us carry out such empirical evaluations. The main contribution of this paper is a suite of mutation operators for spreadsheets that can be used for carrying out empirical evaluations of spreadsheet tools to indicate ways in which the tools can be improved.
Test coverage of code, Test design, Spreadsheets
R. Abraham and M. Erwig, "Mutation Operators for Spreadsheets," in IEEE Transactions on Software Engineering, vol. 35, no. , pp. 94-108, 2008.