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Automatic test case optimization: a bacteriologic algorithm

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4 Author(s)
Baudry, B. ; Univ. de Rennes, France ; Fleurey, F. ; Jezequel, J. ; Le Traon, Y.

Improving test cases automatically is a nonlinear optimization problem. To solve this problem, we've developed a bacteriologic algorithm, adapted from genetic algorithms that can generate and optimize a set of test cases. A .NET component that parses C# source files illustrates our algorithm.

Published in:

Software, IEEE  (Volume:22 ,  Issue: 2 )