Constraint-Based Automatic Test Data Generation
IEEE Transactions on Software Engineering
A methodology for controlling the size of a test suite
ACM Transactions on Software Engineering and Methodology (TOSEM)
Efficient coverage testing using global dominator graphs
Proceedings of the 1999 ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering
Automatically Generating Test Data from a Boolean Specification
IEEE Transactions on Software Engineering
Using Spanning Sets for Coverage Testing
IEEE Transactions on Software Engineering
Bi-Criteria Models for All-Uses Test Suite Reduction
Proceedings of the 26th International Conference on Software Engineering
A concept analysis inspired greedy algorithm for test suite minimization
PASTE '05 Proceedings of the 6th ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering
An experimental comparison of four test suite reduction techniques
Proceedings of the 28th international conference on Software engineering
Comparing Fault-based Testing Strategies of General Boolean Specifications
COMPSAC '07 Proceedings of the 31st Annual International Computer Software and Applications Conference - Volume 01
A Bi-objective Model Inspired Greedy Algorithm for Test Suite Minimization
FGIT '09 Proceedings of the 1st International Conference on Future Generation Information Technology
Proceedings of the 2010 ACM Symposium on Applied Computing
A test suite reduction approach based on pairwise interaction of requirements
Proceedings of the 2011 ACM Symposium on Applied Computing
Bi-criteria test suite reduction by cluster analysis of execution profiles
CEE-SET'09 Proceedings of the 4th IFIP TC 2 Central and East European conference on Advances in Software Engineering Techniques
A test-suite reduction approach to improving fault-localization effectiveness
Computer Languages, Systems and Structures
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The goal of test suite reduction is to satisfy all testing requirements with the minimum number of test cases. Existing techniques can be applied well on the constructed test suite. However, it is possible and necessary to optimize testing requirements before test case generation. In this paper test suite reduction is solved by testing requirement optimization. A requirement relation graph is proposed to minimize the requirement set by graph contraction. An experiment on specification-based testing is designed and implemented. The empirical studies show that the testing requirements can be optimized by the graph contraction methods effectively.