Title :
Automatic test case optimization: a bacteriologic algorithm
Author :
Baudry, Benoit ; Fleurey, Franck ; Jézéquel, Jean-Marc ; Traon, Yves Le
Author_Institution :
Univ. de Rennes, France
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.
Keywords :
automatic test pattern generation; genetic algorithms; grammars; network operating systems; object-oriented programming; program testing; .NET component; automatic test case optimization; bacteriologic algorithm; genetic algorithm; object-oriented programming; parser; program testing; Automatic testing; Computer aided software engineering; Fault detection; Genetic mutations; Protection; Software algorithms; Software quality; Software testing; System testing; Unified modeling language; evolutionary computing; genetic algorithms; object-oriented programming; test design;
Journal_Title :
Software, IEEE
