GPTesT: A Testing Tool Based On Genetic Programming

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

@InProceedings{figueiredopereiraemer:2002:gecco,

• author = "Maria Cl{\'a}udia Figueiredo Pereira Emer and Silvia Regina Vergilio",
• title = "{GPTesT}: {A} Testing Tool Based On Genetic Programming",
• booktitle = "GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference",
• editor = "W. B. Langdon and E. Cant{\'u}-Paz and K. Mathias and R. Roy and D. Davis and R. Poli and K. Balakrishnan and V. Honavar and G. Rudolph and J. Wegener and L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and E. Burke and N. Jonoska",
• year = "2002",
• pages = "1343--1350",
• address = "New York",
• publisher_address = "San Francisco, CA 94104, USA",
• month = "9-13 " # jul,
• publisher = "Morgan Kaufmann Publishers",
• keywords = "genetic algorithms, genetic programming, search-based software engineering, fault-based testing, induction of programs, mutation analysis, software test criteria",
• ISBN = "1-55860-878-8",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco2002/sbse017.ps",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco2002/sbse017.pdf",
• URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-25.pdf",
• abstract = "Genetic Programming (GP) has recently been applied to solve problems in several areas. It has the goal of inducing programs from test cases by using the concepts of Darwin's evolution theory. On the other hand, software testing, that is a fundamental and expensive activity for software quality assurance, has the objective of generating test cases from the program being tested. In this sense, a symmetry between induction of programs based on GP and testing is noticed. Based on such symmetry, this work presents GPTesT, a testing tool based on GP. Fault-based testing criteria generally derive test data using a set of mutant operators to produce alternatives that differ from the program under testing by a simple modification. GPtesT uses a set of alternatives genetically derived, which allow the test of interactions between faults. GPTesT implements two test procedures respectively for guiding the selection and evaluation of test data sets. Examples with these procedures show that the approach can be used as a testing criterion.",
• notes = "GECCO-2002. A joint meeting of the eleventh International Conference on Genetic Algorithms (ICGA-2002) and the seventh Annual Genetic Programming Conference (GP-2002)",

}

Genetic Programming entries for Maria Claudia Figueiredo Pereira Emer Silvia Regina Vergilio

Citations