A Fortran 77 interpreter for mutation analysis
SIGPLAN '87 Papers of the Symposium on Interpreters and interpretive techniques
Investigations of the software testing coupling effect
ACM Transactions on Software Engineering and Methodology (TOSEM)
Testing object-oriented systems: models, patterns, and tools
Testing object-oriented systems: models, patterns, and tools
An Empirical Evaluation of Weak Mutation
IEEE Transactions on Software Engineering
Mutation Operators for Specifications
ASE '00 Proceedings of the 15th IEEE international conference on Automated software engineering
JUnit in Action
Is mutation an appropriate tool for testing experiments?
Proceedings of the 27th international conference on Software engineering
EMF: Eclipse Modeling Framework 2.0
EMF: Eclipse Modeling Framework 2.0
Using Mutation Analysis for Assessing and Comparing Testing Coverage Criteria
IEEE Transactions on Software Engineering
Jumble Java Byte Code to Measure the Effectiveness of Unit Tests
TAICPART-MUTATION '07 Proceedings of the Testing: Academic and Industrial Conference Practice and Research Techniques - MUTATION
An Empirical Evaluation of the MuJava Mutation Operators
TAICPART-MUTATION '07 Proceedings of the Testing: Academic and Industrial Conference Practice and Research Techniques - MUTATION
Testing Programs with the Aid of a Compiler
IEEE Transactions on Software Engineering
Introduction to Software Testing
Introduction to Software Testing
Efficient mutation testing by checking invariant violations
Proceedings of the eighteenth international symposium on Software testing and analysis
(Un-)Covering Equivalent Mutants
ICST '10 Proceedings of the 2010 Third International Conference on Software Testing, Verification and Validation
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Estimating the quality of test suites is an important and difficult task. Mutation analysis is one approach to measure test quality by injecting faults in a correct version of the system under test and measuring the percentage of faulty systems that are detected by the tests. There are several automatic mutation analysis tools. Each of them, however, is restricted to a comparatively small range of execution environments. In this paper, we introduce a generic approach to run mutation analysis and present a corresponding prototype implementation.