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Constraint solving in test-data generation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2002) 2470 770-771
DOI: 10.1007/3-540-46135-3_68
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Abstract

Test data generation is the most labor-intensive work for software testing. As a result, automatic test case generation is a way forward. It is typical to denote the conditions of searching the test input that can cause a particular action to occur into constraint problems.Consequently, practical method for solving the constraints is desired.

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Zhan, Y. (2002). Constraint solving in test-data generation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2470, pp. 770–771). Springer Verlag. https://doi.org/10.1007/3-540-46135-3_68

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