HSP: A hybrid selection and prioritisation of regression test cases based on information retrieval and code coverage applied on an industrial case study

Magalhães, Cláudio; Andrade, João Bosco Ladislau de; Perrusi, Lucas; Mota, Alexandre; Barros, Flávia A.; Maia, Eliot

doi:10.1016/j.jss.2019.110430

Cited by 5 publications

(2 citation statements)

References 29 publications

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“…The test case selection frameworks 11 , coverage-based, fault detector and redundant test case selection frameworks 12 , dynamic code changesbased test case selection framework 13 and pairwise feature analysis of product line model 14 are found in literature, techniques and accommodate multiobjective problems. They cannot simultaneously accommodate four effectiveness measures and require a graph-based, code-slicing approach or preprocessing code analysis to bind these effectiveness measures 15 . Furthermore, these frameworks and algorithms are context and language feature-dependent, limiting their generalization property.…”

Section: Figure 1 Regression Testingmentioning

confidence: 99%

“…To cut down on the expenses of regression testing and enhance its effectiveness (in terms of coverage, fault detection, and redundancy), as well as the time efficiency of the chosen test suite, testers can opt to decrease the test suite's size, limit the number of test case executions, shorten the test case execution duration, choose a subset of test cases previously run on the System Under Testing (SUT), or prioritize the test cases more efficiently [13][14][15] . Information regarding coverage that includes fault detection capabilities serves as a substitute for choosing regression test cases.…”

Section: Figure 1 Regression Testingmentioning

confidence: 99%

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Hybrid Framework To Exclude Similar and Faulty Test Cases In Regression Testing

Siddique,

Wan-Kadir,

Ahmad

et al. 2024

Baghdad Sci.J

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Regression testing is a crucial phase in the software development lifecycle that makes sure that new changes/updates in the software system don’t introduce defects or don’t affect adversely the existing functionalities. However, as the software systems grow in complexity, the number of test cases in regression suite can become large which results into more testing time and resource consumption. In addition, the presence of redundant and faulty test cases may affect the efficiency of the regression testing process. Therefore, this paper presents a new Hybrid Framework to Exclude Similar & Faulty Test Cases in Regression Testing (ETCPM) that utilizes automated code analysis techniques and historical test execution data to identity and exclude redundant, similar and faulty test cases from the given regression suite. Our experimental results clearly show the benefits of the ETCPM framework in terms of reduction in the testing time, optimization of the resource allocation, and improvement in the overall quality of regression test suite. ETCPM enables software development teams to achieve faster and reliable regression testing by intelligent exclusion of similar and fault test cases, which yields in reduction in the software delivery cycles and better end user satisfaction.

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Section: Figure 1 Regression Testingmentioning

confidence: 99%

Section: Figure 1 Regression Testingmentioning

confidence: 99%