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

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  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 =        "©ownerid=66551",

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