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.
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Baudry et al. (2005) studied this question.
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