Automatic Test Case Optimization: A Bacteriologic Algorithm
Benoît Baudry, Franck Fleurey, Jean‐Marc Jezéquél, Yves Le Traon · IEEE Software · 2005
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.