Ribeiro, José Carlos BregieiroNogueira, Ana FilipaVega, Francisco Fernández deZenha-Rela, Mário Alberto2025-10-282025-10-282015-01Ribeiro, J.C.B., Nogueira, A.F., de Vega, F.F., Zenha-Rela, M.A. (2015). eCrash: a Genetic Programming-Based Testing Tool for Object-Oriented Software. In: Gandomi, A., Alavi, A., Ryan, C. (eds) Handbook of Genetic Programming Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-20883-1_2397833192088249783319208831http://hdl.handle.net/10400.8/14393This paper describes the methodology, architecture and features of the eCrash framework, a Java-based tool which employs Strongly-Typed Genetic Programming to automate the generation of test data for the structural unit testing of Object-Oriented programs. The application of Evolutionary Algorithms to Test Data generation is often referred to as Evolutionary Testing. eCrash implements an Evolutionary Testing strategy developed with three major purposes: improving the level of performance and automation of the Software Testing process; minimising the interference of the tool’s users on the Test Object analysis to a minimum; and mitigating the impact of users decisions in the Test Data generation process.engEvolutionary testingGenetic programmingObject-orientationSearch-based software engineeringUnit testingbook part10.1007/978-3-319-20883-1_23