IGUANA: input generation using automated novel algorithms. A plug and play research tool. IGUANA is a tool for automatically generating software test data using search-based approaches. Search-based approaches explore the input domain of a program for test data and are guided by a fitness function. The fitness function evaluates input data and measures how suitable it is for a given purpose, for example the execution of a particular statement in a program, or the falsification of an assertion statement. The IGUANA tool is designed so that researchers can easily compare and contrast different search methods (e.g. random search, hill climbing and genetic algorithms), fitness functions (e.g. for obtaining branch coverage of a program) and program analysis techniques for test data generation.
References in zbMATH (referenced in 1 article )
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- Kempka, Joseph; McMinn, Phil; Sudholt, Dirk: Design and analysis of different alternating variable searches for search-based software testing (2015)