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eCrash: a Genetic Programming-Based Testing Tool for Object-Oriented Software
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| Table of contents_Book_Handbook of Genetic Programming Applications_Chapter_"eCrash: A genetic programming-based testing tool for object-oriented software"_pp.575–593 | 215.44 KB | Adobe PDF |
Orientador(es)
Resumo(s)
This 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.
Descrição
Palavras-chave
Evolutionary testing Genetic programming Object-orientation Search-based software engineering Unit testing
Contexto Educativo
Citação
Ribeiro, 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_23
Editora
Springer Nature
Coleções
Licença CC
Sem licença CC