eCrash: a Genetic Programming-Based Testing Tool for Object-Oriented Software

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InCollection{Ribeiro:2015:hbgpa,

• author = "Jose Carlos Bregieiro Ribeiro and Ana Filipa Nogueira and Francisco {Fernandez de Vega} and Mario Alberto Zenha-Rela",
• title = "{eCrash}: a Genetic Programming-Based Testing Tool for Object-Oriented Software",
• booktitle = "Handbook of Genetic Programming Applications",
• publisher = "Springer",
• year = "2015",
• editor = "Amir H. Gandomi and Amir H. Alavi and Conor Ryan",
• pages = "575--593",
• keywords = "genetic algorithms, genetic programming, SBSE",
• isbn13 = "978-3-319-20883-1",
• DOI = "doi:10.1007/978-3-319-20883-1_23",
• abstract = "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.",
• notes = "http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=38824©ownerid=66551",

}

Genetic Programming entries for Jose Carlos Bregieiro Ribeiro Ana Filipa Delgado Nogueira Francisco Fernandez de Vega Mario Alberto Zenha-Rela

Citations