Regression Test Case Selection &amp;PrioritizationUsing Dependence Graph and Genetic Algorithm

Musa, Samaila; Sultan, Abu Bakar; Ghani, Abdul Azim Abd; Baharom, Salmi

doi:10.9790/0661-16343847

Cited by 3 publications

(1 citation statement)

References 31 publications

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“…Yoo and Harman (2012) state that test suite reduction is aims at reducing the number of tests to test. However, the main objective of most of proposed algorithms is to reduce the test suite size According to Musa et al (2014a) after having the test case, the challenge in regression testing is the prioritization of the test cases by identifying and selecting of best ones from them, and prioritizing the test cases will result in less time of execution and increase the coverage of errors detection. Regression test case prioritization (RTCP) prioritized test cases for execution during regression testing efficiently.…”

Section: Introductionmentioning

confidence: 99%

Test Suite Reduction and Prioritization Framework in Regression Testing

et.al¹

2021

TURCOMAT

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Most of the test cases minimization reduced test cases during regression testing to generate new test suite to cover the same software requirements.The objective of this paper is to present new framework that integrate the idea of minimization and prioritization.Hence, reduction and prioritization able to reduce test cases based on the statements covered by the previous test cases to avoid redundancy.Beginning from the reduction of the test cases, followed by weighted prioritizationaccording to their usefulness.The framework was tested using sample test suite and the results obtained shown increases on the average percentage of faults detection (APFD). Future plan is to test on the larger size of test suite.

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Section: Introductionmentioning

confidence: 99%

Test Suite Reduction and Prioritization Framework in Regression Testing

et.al¹

2021

TURCOMAT

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Empirical evaluation of test effort efficiency of software GA–based regression test case prioritization strategy

Musa¹,

Sultan

Ghani

et al. 2018

AIP Conference Proceedings

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An Effective Regression Test Case Selection Using Hybrid Whale Optimization Algorithm

Agrawal

Choudhary

Kaur

2020

International Journal of Distributed Systems and Technologies

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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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Regression Test Case Selection &PrioritizationUsing Dependence Graph and Genetic Algorithm

Cited by 3 publications

References 31 publications

Test Suite Reduction and Prioritization Framework in Regression Testing

Test Suite Reduction and Prioritization Framework in Regression Testing

Empirical evaluation of test effort efficiency of software GA–based regression test case prioritization strategy

An Effective Regression Test Case Selection Using Hybrid Whale Optimization Algorithm

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