eCrash: a Genetic Programming-Based Testing Tool for Object-Oriented Software
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InCollection{Bregieiro-Ribeiro:2015:hbgpa,
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author = "Jose Carlos {Bregieiro Ribeiro} and
Ana Filipa Nogueira and Francisco {Fernandez de Vega} and
Mario Alberto Zenha-Rela",
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title = "eCrash: a Genetic Programming-Based Testing Tool for
Object-Oriented Software",
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booktitle = "Handbook of Genetic Programming Applications",
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publisher = "Springer",
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year = "2015",
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editor = "Amir H. Gandomi and Amir H. Alavi and Conor Ryan",
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chapter = "23",
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pages = "575--593",
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keywords = "genetic algorithms, genetic programming, SBSE,
Evolutionary Testing, Object-Orientation, Search-Based
Software Engineering, Unit Testing",
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isbn13 = "978-3-319-20882-4",
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DOI = "doi:10.1007/978-3-319-20883-1_23",
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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.",
- }
Genetic Programming entries for
Jose Carlos Bregieiro Ribeiro
Ana Filipa Delgado Nogueira
Francisco Fernandez de Vega
Mario Alberto Zenha-Rela
Citations