期刊
INFORMATION AND SOFTWARE TECHNOLOGY
卷 51, 期 11, 页码 1534-1548出版社
ELSEVIER
DOI: 10.1016/j.infsof.2009.06.009
关键词
Evolutionary Testing; Search-Based Software Engineering; Test Case Evaluation; Input Domain Reduction
资金
- Spanish Ministry of Education and Culture [TIN2007-68083-C02]
- Junta de Extremadura, Consejeria de Economia-Comercio e Innovacion [GRU09105]
- FEDER
In Evolutionary Testing, meta-heuristic search techniques are used for generating test data. The focus of our research is on employing evolutionary algorithms for the structural unit-testing of Object-Oriented programs. Relevant contributions include the introduction of novel methodologies for automation. search guidance and Input Domain Reduction; the strategies proposed were empirically evaluated with encouraging results. Test cases are evolved using the Strongly-Typed Genetic Programming technique. Test data quality evaluation includes instrumenting the test object, executing it with the generated test cases, and tracing the structures traversed in order to derive coverage metrics. The methodology for efficiently guiding the search process towards achieving full structural coverage involves favouring test cases that exercise problematic structures. Purity Analysis is employed as a systematic strategy for reducing the search space. (C) 2009 Elsevier B.V. All rights reserved.
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