The coupling effect: fact or fiction
TAV3 Proceedings of the ACM SIGSOFT '89 third symposium on Software testing, analysis, and verification
Investigations of the software testing coupling effect
ACM Transactions on Software Engineering and Methodology (TOSEM)
Mutation analysis using mutant schemata
ISSTA '93 Proceedings of the 1993 ACM SIGSOFT international symposium on Software testing and analysis
High-performance mutation testing
Journal of Systems and Software
On mutation and data flow
A semantic model of program faults
ISSTA '96 Proceedings of the 1996 ACM SIGSOFT international symposium on Software testing and analysis
An experimental determination of sufficient mutant operators
ACM Transactions on Software Engineering and Methodology (TOSEM)
An introduction to genetic algorithms
An introduction to genetic algorithms
An experimental evaluation of selective mutation
ICSE '93 Proceedings of the 15th international conference on Software Engineering
All-uses vs mutation testing: an experimental comparison of effectiveness
Journal of Systems and Software
Introduction to Algorithms
An Empirical Evaluation of Weak Mutation
IEEE Transactions on Software Engineering
Generating Software Test Data by Evolution
IEEE Transactions on Software Engineering
ISSRE '02 Proceedings of the 13th International Symposium on Software Reliability Engineering
Mutation analysis of program test data
Mutation analysis of program test data
On mutation
Detecting associative shift faults in predicate testing
Journal of Systems and Software
An analysis of the coupling effect I: single test data
Science of Computer Programming
Search-based mutation testing for Simulink models
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Empirical Software Engineering
Automatic mutation test input data generation via ant colony
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Comparative Assessment of Testing and Model Checking Using Program Mutation
TAICPART-MUTATION '07 Proceedings of the Testing: Academic and Industrial Conference Practice and Research Techniques - MUTATION
Weak Mutation Testing and Completeness of Test Sets
IEEE Transactions on Software Engineering
Testing Programs with the Aid of a Compiler
IEEE Transactions on Software Engineering
MILU: A Customizable, Runtime-Optimized Higher Order Mutation Testing Tool for the Full C Language
TAIC-PART '08 Proceedings of the Testing: Academic & Industrial Conference - Practice and Research Techniques
Efficient multi-objective higher order mutation testing with genetic programming
Journal of Systems and Software
XML-manipulating test case prioritization for XML-manipulating services
Journal of Systems and Software
Using conditional mutation to increase the efficiency of mutation analysis
Proceedings of the 6th International Workshop on Automation of Software Test
Strong higher order mutation-based test data generation
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
Mutation based test case generation via a path selection strategy
Information and Software Technology
Selecting mutation operators with a multiobjective approach
Expert Systems with Applications: An International Journal
An intuitive approach to determine test adequacy in safety-critical software
ACM SIGSOFT Software Engineering Notes
Generation of TLM testbenches using mutation testing
Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Mutation testing strategies using mutant classification
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Faster mutation testing inspired by test prioritization and reduction
Proceedings of the 2013 International Symposium on Software Testing and Analysis
Mutation-oriented test data augmentation for GUI software fault localization
Information and Software Technology
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This paper introduces a new paradigm for Mutation Testing, which we call Higher Order Mutation Testing (HOM Testing). Traditional Mutation Testing considers only first order mutants, created by the injection of a single fault. Often these first order mutants denote trivial faults that are easily killed. Higher order mutants are created by the insertion of two or more faults. The paper introduces the concept of a subsuming HOM; one that is harder to kill than the first order mutants from which it is constructed. By definition, subsuming HOMs denote subtle fault combinations. The paper reports the results of an empirical study of HOM Testing using 10 programs, including several non-trivial real-world subjects for which test suites are available.