A methodology for controlling the size of a test suite
ACM Transactions on Software Engineering and Methodology (TOSEM)
Effect of test set minimization on fault detection effectiveness
Proceedings of the 17th international conference on Software engineering
Experiments of the effectiveness of dataflow- and controlflow-based test adequacy criteria
ICSE '94 Proceedings of the 16th international conference on Software engineering
Simulated annealing and genetic algorithms for optimal regression testing
Journal of Software Maintenance: Research and Practice
Test Set Size Minimization and Fault Detection Effectiveness: A Case Study in a Space Application
COMPSAC '97 Proceedings of the 21st International Computer Software and Applications Conference
A genetic algorithm for resource-constrained scheduling
A genetic algorithm for resource-constrained scheduling
Bi-Criteria Models for All-Uses Test Suite Reduction
Proceedings of the 26th International Conference on Software Engineering
An experimental study of four typical test suite reduction techniques
Information and Software Technology
A novel approach for test suite reduction based on requirement relation contraction
Proceedings of the 2008 ACM symposium on Applied computing
Issues in using model checkers for test case generation
Journal of Systems and Software
Redundancy based test-suite reduction
FASE'07 Proceedings of the 10th international conference on Fundamental approaches to software engineering
A minimal test suite generation method based on quotient space theory
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Test coverage optimization for large code problems
Journal of Systems and Software
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As a test suite usually contains redundancy, a subset of the test suite (representative set) may still satisfy all the test objectives. As the redundancy increases the cost of executing the test suite, many test suite reduction techniques have been brought out in spite of the NP-completeness of the general problem of finding the optimal representative set of the test suite. In the literature, some experimental studies of test suite reduction techniques have already been reported, but there are still shortcomings of the studies of these techniques. This paper presents an experimental comparison of the four typical test suite reduction techniques: heuristic H, heuristic GRE, genetic algorithm-based approach and ILP-based approach. The aim of the study is to provide a guideline for choosing the appropriate test suite reduction techniques.