Strategies of Regression Test Case Selection for Component-Based Software

2006 ◽  
Vol 43 (10) ◽  
pp. 1767
Author(s):  
Chengying Mao
Keyword(s):  
Test Case ◽  
Test Case Selection ◽  
Case Selection ◽  
Regression Test ◽  
Selection For

An Effective Regression Test Case Selection Using Hybrid Whale Optimization Algorithm

2020 ◽  
Vol 11 (1) ◽  
pp. 53-67 ◽  
Author(s):  
Arun Prakash Agrawal ◽  
Ankur Choudhary ◽  
Arvinder Kaur
Keyword(s):  
Cost Reduction ◽  
Test Suite ◽  
Test Case ◽  
Test Cost ◽  
Test Case Selection ◽  
Case Selection ◽  
Test Cost Reduction ◽  
Whale Optimization ◽  
Regression Test ◽  
Test Suite Optimization

Test suite optimization is an ever-demanded approach for regression test cost reduction. Regression testing is conducted to identify any adverse effects of maintenance activity on previously working versions of the software. It consumes almost seventy percent of the overall software development lifecycle budget. Regression test cost reduction is therefore of vital importance. Test suite optimization is the most explored approach to reduce the test suite size to re-execute. This article focuses on test suite optimization as a regression test case selection, which is a proven N-P hard combinatorial optimization problem. The authors have proposed an almost safe regression test case selection approach using a Hybrid Whale Optimization Algorithm and empirically evaluated the same on subject programs retrieved from the Software Artifact Infrastructure Repository with Bat Search and ACO-based regression test case selection approaches. The analyses of the obtained results indicate an improvement in the fault detection ability of the proposed approach over the compared ones with significant reduction in test suite size.

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