Proceedings ArticleDOI
An Improved Regression Test Selection Technique by Clustering Execution Profiles
Chen Zhang,Zhenyu Chen,Zhihong Zhao,Shali Yan,Jinyu Zhang,Baowen Xu +5 more
- pp 171-179
TLDR
This paper presents a new regression test selection technique by clustering the execution profiles of modification-traversing test cases, which can produce a smaller test suite with most fault-revealing test cases in comparison with existing selection techniques.Abstract:
In order to improve the efficiency of regression testing, many test selection techniques have been proposed to extract a small subset from a huge test suite, which can approximate the fault detection capability of the original test suite for the modified code. This paper presents a new regression test selection technique by clustering the execution profiles of modification-traversing test cases. Cluster analysis can group program executions that have similar features, so that program behaviors can be well understood and test cases can be selected in a proper way to reduce the test suite effectively. An experiment with some real programs is designed and implemented. The experiment results show that our approach can produce a smaller test suite with most fault-revealing test cases in comparison with existing selection techniques.read more
Citations
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Journal ArticleDOI
Similarity-based test case prioritization using ordered sequences of program entities
TL;DR: This paper proposes several novel similarity-based test case prioritization techniques based on the edit distances of ordered sequences that can significantly increase the fault detection rate and be effective in detecting faults in loops.
Proceedings ArticleDOI
Using semi-supervised clustering to improve regression test selection techniques
TL;DR: A semi-supervised clustering method, namely SSKM, is introduced to improve cluster test selection, which uses limited supervision in the form of pair wise constraints: Must-link and Cannot-link to improve clustering results as well as test selection results.
Journal ArticleDOI
How well does test case prioritization integrate with statistical fault localization
TL;DR: It is found that if testers have a budgetary concern on the number of test cases for regression testing, the use of test case prioritization can save up to 40% of test CASE executions for commit builds without significantly affecting the effectiveness of fault localization.
Proceedings Article
Identifying Coincidental Correctness for Fault Localization by Clustering Test Cases.
TL;DR: Experimental results show that, by cleaning or relabeling these possibly coincidentally correct test cases, the effectiveness of coverage-based fault localization techniques can be effectively improved.
Journal ArticleDOI
Similarity testing for access control
Antonia Bertolino,Said Daoudagh,Donia El Kateb,Christopher Henard,Yves Le Traon,Francesca Lonetti,Eda Marchetti,Tejeddine Mouelhi,Mike Papadakis +8 more
TL;DR: It is concluded that prioritization of access control test cases can be usefully based on similarity criteria and its rate of fault detection is higher than that of random prioritization.
References
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Journal ArticleDOI
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TL;DR: In this article, the authors outline the issues relevant to regression test selection techniques, and use these issues as the basis for a framework within which to evaluate the techniques and illustrate the application of the framework by using it to evaluate existing regression-test selection techniques.
Journal ArticleDOI
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TL;DR: The regions of the input space that cause failure for certain experimental programs are discussed, and data reexpression, the way in which alternate input data sets can be obtained, is examined.
Journal ArticleDOI
An empirical study of regression test selection techniques
TL;DR: In this paper, the authors conducted an experiment to examine the relative costs and benefits of several regression test selection techniques, focusing on their relative ablilities to reduce regression testing effort and uncover faults in modified programs.