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Prem Jacob, T.
- An Optimal Technique for Reducing the Effort of Regression Test
Abstract Views :482 |
PDF Views:0
Authors
T. Prem Jacob
1,
T. Ravi
2
Affiliations
1 Sathyabama University, Chennai-119, IN
2 Principal, Srinivasa Institute of Engineering & Technology, Chennai- 56, IN
1 Sathyabama University, Chennai-119, IN
2 Principal, Srinivasa Institute of Engineering & Technology, Chennai- 56, IN
Source
Indian Journal of Science and Technology, Vol 6, No 8 (2013), Pagination: 5065-5069Abstract
Regression test selection techniques are proposed often but are many times inaccurate when used with larger systems. The proposed new selection technique will be safer, more precise, and can handle the object-oriented features even in larger systems through its phases. Selecting the subset of the test case from the existing test suite is an important problem in regression testing and is addressed in the regression test selection technique. Safe regression test selection technique selects and identifies the program parts that are affected by the change. The test selection is performed by matching the identified change information with the coverage information. A tool is implemented that reduces the testing effort efficiently and the result shows that it can achieve considerable savings in the regression testing time.Keywords
Test Selection, Testing, Software Maintenance, Regression Testing, Software EvaluationFull Text
References
- Rothermel G, Untch R H et al. (1999). Test case prioritization: an empirical study, Proceedings of the International Conference on Software Maintenance, 179–188.
- Jacob T P (2013). Regression testing: Tabu search technique for code coverage, Indian Journal of Computer Science and Engineering, vol 4, No.3, 208–215.
- Elbaum S, Rothermel G et al. (2004). Selecting a cost-effective test case prioritization technique, Software Quality Control, vol 12, No. 3, 185–210.
- Jacob T P, and Ravi T (2013). Optimal regression test case prioritization using genetic algorithm, Life Science Journal, vol 10(3), 1021–1033.
- Rothermel G, and Harrold M J (1997). A safe, efficient regression test selection technique. ACM TOSEM, vol 6(2), 173–210.
- Bible J, Rothermel G et al. (2001). A comparative study of coarse and fine-grained safe regression test selection techniques. ACM TOSEM, vol 10(2), 149–183.
- Walcott K R, Soffa M L et al. (2006). Time-aware test suite prioritization, International Symposium on Software Testing and Analysis, 1–11.
- Do H, Elbaum S G et al. (2005). Supporting controlled experimentation with testing techniques: an infrastructure and its potential impact, Empirical Software Engineering, vol 10(4), 405–435.
- Li Z, Harman M et al. (2007). Search algorithm for regression test case prioritization, IEEE Transactions on Software Engineering, vol 33, No. 4, 5–7.
- Jeffrey D, and Gupta N (2007). Improving fault detection capability by selectively retaining test cases during test suite reduction, IEEE Transactions on software Engineering, vol 33, No. 2, 122–127.
- Li Z, Harman M et al. (2007). Search algorithms for regression test case prioritization, IEEE Transactions on Software Engineering, vol 33, No. 4, 225–237.
- Kim J M, and Porter A (2002). A history-based test prioritization technique for regression testing in resource constrained environments, Proceedings of the 24th International Conference on Software Engineering, 119–129.
- A Novel Approach for Test Suite Prioritization using Clustering
Abstract Views :564 |
PDF Views:0
Authors
T. Prem Jacob
1,
T. Ravi
2
Affiliations
1 CSE, Sathyabama University, Chennai, IN
2 Srinivasa Institute of Engineering & Technology, Chennai, IN
1 CSE, Sathyabama University, Chennai, IN
2 Srinivasa Institute of Engineering & Technology, Chennai, IN
Source
Indian Journal of Advances in Computer Sciences and Technology, Vol 1, No 1 (2013), Pagination: 59-66Abstract
Software testing is an expensive, time consuming and important part of the software development life cycle. In testing the time is spend mainly for generating test cases and to test them. The test case prioritization will reduce the testing effort. Different techniques for test case prioritization are proposed in the past decades and still requires further improvement. The clustering based test case prioritization is proposed in this paper. The results achieved shows that prioritization of the test case has improved the effectiveness of the test case.Keywords
Test Case, Test Suite, Cluster, APFD
References
- Islam, M.M , A tool for the prioritization of test cases based on a sorting genetic algorithm and La-tent Semantic Indexing Software Maintenance (ICSM), 2012.
- Smith(2009). An empirical study of incorporating cost into test suite reduction and prioritization. In Proceedings of the 24th Symposium on Applied Computing, 2009.
- T.Prem Jacob et al.(2013), Detecting of Software Source Code Defects using Test Case Prioritization Rules, 2nd International Conference on Latest Computational Technologies.
- Zhong(2008). An experimental study of four typical test suite reduction techniques. Information and Software Technology, 50(6).
- Sampath(2008). Prioritizing user-session-based test cases for web applications testing. In Proceedings of the 2nd International Conference on Software Testing, Verification, and Validation.
- T.Prem Jacob. et al.(2013), Regression Testing : Tabu Search Technique for Code Coverage, Indian Journal of Computer Science and Engineering, Vol. 4 No.3.
- Kapfhammer(2007). A Comprehensive Framework for Testing Database- Centric Applications. PhD thesis, University of Pittsburgh, Pittsburgh, Pennsylvania.
- Semantics Guided Regression Test Cost Reduction David Binkley, Loyola College in Maryland.
- Prioritizing Test Cases For Regression Testing Gregg Rothermel, Member IEEE Computer Society, Roland H. Untch, Member, IEEE Computer Society, Chengyun Chu, and Mary Jean Harrold, Member, IEEE Computer Society.
- G. Rothermel,(1996), Analyzing the regression test selection techniques. IEEE Trans. Softw. Eng., 22(8):529–551.
- O. Strichman (2008) Regression Verification – A Practical Way to Verify Programs. Springer-Verlag, Berlin,Heidelberg.
- R. H. Hardin et al.(1996) Efficient regression verification. In Proc. WODES, pages 147–150.
- An Efficient Method for Regression Test Selection
Abstract Views :157 |
PDF Views:3
Authors
T. Prem Jacob
1,
T. Ravi
2
Affiliations
1 Sathyabama University, Research Scholar, Chennai, IN
2 Srinivasa Institute of Engineering & Technology, Chennai, IN
1 Sathyabama University, Research Scholar, Chennai, IN
2 Srinivasa Institute of Engineering & Technology, Chennai, IN