On the application of genetic algorithms for test case prioritization: A systematic literature review


ÇATAL Ç.

2nd International Workshop on Evidential Assessment of Software Technologies, EAST 2012, Lund, Sweden, 22 September 2012, pp.9-14 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1145/2372233.2372238
  • City: Lund
  • Country: Sweden
  • Page Numbers: pp.9-14
  • Keywords: Evolutionary computation, Genetic algorithms, Regression testing, Software engineering, Software testing, Systematic literature review, Test case prioritization
  • Istanbul Kültür University Affiliated: Yes

Abstract

We conducted a Systematic Literature Review (SLR) to investigate the effectiveness of genetic algorithms for test case prioritization. The search string retrieved 120 test case prioritization papers, but after we read them in full, we identified that genetic algorithm was used in seven primary studies. One paper does not provide any experimental data. Based on the results of these six papers, we conclude that there is evidence that genetic algorithm-based techniques are effective for test case prioritization and the field is still open for further research. Copyright 2012 ACM.