- author = "Maria Claudia F. P. Emer and Silvia Regina Vergilio",
- title = "Selection and Evaluation of Test Data Based on Genetic Programming",
- journal = "Software Quality Journal",
- year = "2003",
- volume = "11",
- number = "2",
- pages = "167--186",
- month = jun,
- keywords = "genetic algorithms, genetic programming, evolutionary computation, testing criteria, mutation analysis, SBSE, software engineering",
-
DOI = "
doi:10.1023/A:1023772729494",
- size = "20 pages",
- abstract = "In the literature, we find several criteria that consider different aspects of the program to guide the testing, a fundamental activity for software quality assurance. They address two important questions: how to select test cases to reveal as many fault as possible and how to evaluate a test set T and end the test. Fault-based criteria, such as mutation testing, use mutation operators to generate alternatives for the program P being tested. The goal is to derive test cases capable of producing different behaviors in P and its alternatives. However, this approach usually does not allow the test of interaction between faults since the alternative differs from P by a simple modification. This work explores the use of Genetic Programming (GP), a field of Evolutionary Computation, to derive alternatives for testing P and introduces two GP-based procedures for selection and evaluation of test data. The procedures are related to the above questions, usually addressed by most testing criteria and tools. A tool, named GPTesT, is described and results from an experiment using this tool are also presented. The results show the applicability of our approach and allow comparison with mutation testing.",
-
notes = "Article ID: 5122058
Interactive tool incorporating GP. GPTesT (C++ UML).
Chameleon \cite{Spinosa:2001:gtgp} grammar based generates C programs. {"}Control over anomalous code (overflow, infinite loop among others){"} p171. {"}divide by zero{"} p177.
v. Proteum (71 SE mutation operators)
GPBT. cmm (common multiple), fat (factorial), max, cmd (common divisor)
Computer Science Department, Federal University of Parana?UFPR CP: 19081, 81531-970, Curitiba, Brazil mpereira@inf.ufpr.br
",
