AN IMPROVED METHOD FOR SHORTENING REGRESSION TEST OPTIMIZATION

Authors

  • Solanke, O. O 3Department of Mathematical Sciences, Olabisi Onabanjo University, Ago-Iwoye, Ogun State, Nigeria
  • Efuwape B. T 3Department of Mathematical Sciences, Olabisi Onabanjo University, Ago-Iwoye, Ogun State, Nigeria
  • Taiwo, A. I 3Department of Mathematical Sciences, Olabisi Onabanjo University, Ago-Iwoye, Ogun State, Nigeria

DOI:

https://doi.org/10.53555/nnms.v1i3.1501

Keywords:

Regression testing, cyclomatic complexity

Abstract

The primary objective of every software engineering product is unwavering product quality. Extensive testing and product development are required. The emphasis on quality increases as new features are added to any current product. This has a greater impact on the "regression" testing phase, in which all older functionality of the product is checked to ensure that it is still working. If we don't have any regression optimization techniques in place, the product will mature and have more features, making it more difficult to find regression test cases for such a complicated product. Such a circumstance will directly affect the product's delivery and timeline.

Consequently, in this research, we offer a novel method for shortening the regression test phase by selecting the suitable subset of the total number of test cases in the big test suite.

References

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Harrold, M.J., Rosenblum, D., Rothermel, G.,Weyuker, E. 2001. “Empirical studies of a prediction model for regression test selection”. IEEE Transactions on Software Engineering, Vol.27, Issue 3.

McCabe, Thomas J. 1976. “A Complexity Measure.” IEEE Transactions on Software Engineering, Vol.se-2, No.4.

Vokolos, F. and Frankl, P., "Empirical evaluation of the textual differencing regression testing technique," International Conference on Software Maintenance, Nov.1998, pp. 44-53.

Watson, Arthur H., and McCabe, Thomas J. 1996. “Structured Testing: A Testing Methodology Using the Cyclomatic Complexity Metric.” Computer Systems Laboratory, National Institute of Standards and Technology (NIST).

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Published

2014-03-30

How to Cite

O. O, S., B. T, E. ., & A. I, T. . (2014). AN IMPROVED METHOD FOR SHORTENING REGRESSION TEST OPTIMIZATION . Journal of Advance Research in Mathematics And Statistics (ISSN 2208-2409), 1(3), 1-4. https://doi.org/10.53555/nnms.v1i3.1501