Automatic detection of dimension errors in spreadsheets
Journal of Visual Languages and Computing
Gathering domain knowledge from spreadsheets
Proceedings of the doctoral symposium for ESEC/FSE on Doctoral symposium
Towards user assistance for documents via interactional semantic technology
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
Automatically extracting class diagrams from spreadsheets
ECOOP'10 Proceedings of the 24th European conference on Object-oriented programming
Proceedings of the 33rd International Conference on Software Engineering
On the empirical evaluation of fault localization techniques for spreadsheets
FASE'13 Proceedings of the 16th international conference on Fundamental Approaches to Software Engineering
Mutation-oriented test data augmentation for GUI software fault localization
Information and Software Technology
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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.