Automatic Test Case Optimization: A Bacteriologic Algorithm

Benoit Baudry, Franck Fleurey, Jean-Marc Jézéquel, Yves Le Traon

Abstract: 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.