Nogueira, Ana FilipaRibeiro, José Carlos Bregieirode Vega, Francisco FernándezZenha-Rela, Mário Alberto2026-03-042026-03-042013Nogueira, A.F., Ribeiro, J.C.B., de Vega, F.F., Zenha-Rela, M.A. (2013). eCrash: An Empirical Study on the Apache Ant Project. In: Ruhe, G., Zhang, Y. (eds) Search Based Software Engineering. SSBSE 2013. Lecture Notes in Computer Science, vol 8084. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39742-4_25978364239741797836423974240302-97431611-3349http://hdl.handle.net/10400.8/15781The eCrash tool employs Strongly-Typed Genetic Programming to automate the generation of test data for the structural unit testing of Object-Oriented Java programs. This paper depicts the results attained by utilising eCrash to generate test data for the classes of the Apache Ant project.engEvolutionary TestingSearch-Based Test Data GenerationStructural Coverageconference paper10.1007/978-3-642-39742-4_25