Functional program testing and analysis
Functional program testing and analysis
Assessing Test Data Adequacy through Program Inference
ACM Transactions on Programming Languages and Systems (TOPLAS)
Communications of the ACM
The application of error-sensitive testing strategies to debugging
SIGSOFT '83 Proceedings of the ACM SIGSOFT/SIGPLAN software engineering symposium on High-level debugging
Mutation analysis of program test data
Mutation analysis of program test data
A theory of error-based testing
A theory of error-based testing
Automatic test data generation
Automatic test data generation
A Theory of Fault-Based Testing
IEEE Transactions on Software Engineering
TAV4 Proceedings of the symposium on Testing, analysis, and verification
TAV4 Proceedings of the symposium on Testing, analysis, and verification
Investigations of the software testing coupling effect
ACM Transactions on Software Engineering and Methodology (TOSEM)
PIE: A Dynamic Failure-Based Technique
IEEE Transactions on Software Engineering
Improved serial algorithms for mutation analysis
ISSTA '93 Proceedings of the 1993 ACM SIGSOFT international symposium on Software testing and analysis
Test case generation by means of learning techniques
SIGSOFT '93 Proceedings of the 1st ACM SIGSOFT symposium on Foundations of software engineering
Software error analysis: a real case study involving real faults and mutations
ISSTA '96 Proceedings of the 1996 ACM SIGSOFT international symposium on Software testing and analysis
Testing by means of inductive program learning
ACM Transactions on Software Engineering and Methodology (TOSEM)
Experimental evaluation of a fuzzy-set based measure of software correctness using program mutation
ICSE '93 Proceedings of the 15th international conference on Software Engineering
Software unit test coverage and adequacy
ACM Computing Surveys (CSUR)
ACM SIGSOFT Software Engineering Notes
Interface Mutation Test Adequacy Criterion: An Empirical Evaluation
Empirical Software Engineering
Task decomposition testing and metrics for concurrent programs
ISSRE '96 Proceedings of the The Seventh International Symposium on Software Reliability Engineering
An analysis of the coupling effect I: single test data
Science of Computer Programming
An empirical, path-oriented approach to software analysis and testing
Journal of Systems and Software
Prioritizing software security fortification throughcode-level metrics
Proceedings of the 4th ACM workshop on Quality of protection
Information and Software Technology
On detecting double literal faults in Boolean expressions
Ada-Europe'07 Proceedings of the 12th international conference on Reliable software technologies
An experimental assessment of module documentation-based testing
Information and Software Technology
A probabilistic analysis method for functional qualification under mutation analysis
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
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Fault-based testing strategies test software by focusing on specific, common types of errors. The coupling effect states that test data sets that detect simple types of faults are sensitive enough to detect more complex types of faults. This paper describes empirical investigations into the coupling effect over a specific domain of software faults. All the results from this investigation support the validity of the coupling effect. The major conclusion from this investigation is that by explicitly testing for simple faults, we are also implicitly testing for more complicated faults. This gives us confidence that fault-based testing is an effective means of testing software.