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Sufficient mutation operators for measuring test effectiveness (2008)
| Content Provider | CiteSeerX |
|---|---|
| Author | Namin, Akbar Siami Andrews, James H. Murdoch, Duncan J. |
| Description | IN PROC. ICSE |
| Abstract | Mutants are automatically-generated, possibly faulty variants of programs. The mutation adequacy ratio of a test suite is the ratio of non-equivalent mutants it is able to identify to the total number of non-equivalent mutants. This ratio can be used as a measure of test effectiveness. However, it can be expensive to calculate, due to the large number of different mutation operators that have been proposed for generating the mutants. In this paper, we address the problem of finding a small set of mutation operators which is still sufficient for measuring test effectiveness. We do this by defining a statistical analysis procedure that allows us to identify such a set, together with an associated linear model that predicts mutation adequacy with high accuracy. We confirm the validity of our procedure through cross-validation and the application of other, alternative statistical analyses. |
| File Format | |
| Publisher Date | 2008-01-01 |
| Access Restriction | Open |
| Subject Keyword | Mutation Adequacy Ratio Non-equivalent Mutant Mutation Operator Total Number Statistical Analysis Procedure Different Mutation Operator Faulty Variant Alternative Statistical Analysis Small Set Linear Model Mutation Adequacy Test Effectiveness Test Suite Sufficient Mutation Operator High Accuracy |
| Content Type | Text |
