A Neighborhood Probability Based Agglomerative Clustering for Test Case Prioritization in Regression Testing

Authors

  • AnjuBala  Maharshi Dayanand University, Rohtak, Haryana, India

Keywords:

Clustering, Test Case Prioritization, Density based K-means, Regression Testing

Abstract

In this paper, main intention is test case prioritization of test cases such that the testing endeavor reduces significantly while the code coverage remains more or less same. This is accomplished by using clustering approach such that the test cases are selected from each cluster thereby ensuring uniform distribution of code coverage. Our proposal is to expressed a innovative technique for test case prioritization using clustering approach. We used neighborhood probability based agglomerative clustering approach and compared the performance with density based K-means clustering for our investigation.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2017-01-30

Issue

Volume 4, Issue 1, January-February-2018

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
AnjuBala, " A Neighborhood Probability Based Agglomerative Clustering for Test Case Prioritization in Regression Testing, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 1, pp.1603-1608, January-February-2018.