Selecting Software Test Data Using Data Flow Information
IEEE Transactions on Software Engineering
A structural test selection criterion
Information Processing Letters
The Cost of Data Flow Testing: An Empirical Study
IEEE Transactions on Software Engineering
Constraint-Based Automatic Test Data Generation
IEEE Transactions on Software Engineering
Software engineering (3rd ed.): a practitioner's approach
Software engineering (3rd ed.): a practitioner's approach
Experimental results from an automatic test case generator
ACM Transactions on Software Engineering and Methodology (TOSEM)
Theory of Fault-Based Predicate Testing for Computer Programs
IEEE Transactions on Software Engineering
Predicate-based test generation for computer programs
ICSE '93 Proceedings of the 15th international conference on Software Engineering
A Formal Analysis of the Fault-Detecting Ability of Testing Methods
IEEE Transactions on Software Engineering
Mutation Versus All-uses: An Empirical Evaluation of Cost, Strength and Effectiveness
Software Quality and Productivity: Theory, practice and training
Constraint based selection of test sets to satisfy structural software testing criteria
SCCC '97 Proceedings of the 17th International Conference of the Chilean Computer Science Society
Journal of Electronic Testing: Theory and Applications
Constraint based structural testing criteria
Journal of Systems and Software
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The selection of test cases to satisfy a structural testing criterion is a very important task because it concerns the quality of the generated test cases. The question is “How to select a test case or path to cover an element required by a structural criterion?” The Constraint Based Criteria are proposed with the goal of answering this question and improving the efficacy, that is, the number of revealed faults. These criteria permit the use of different testing strategies by associating constraints to the required elements. The constraints describe faults generally not revealed by the structural technique. The Constraint Based Criteria can also be used to assess test data sets adequacy.