Test Case Selection and  Prioritization for Regression Testing using Fault Severity

Sharma, Upendra K.; Rastogi, Vedant

doi:10.24297/ijct.v9i3.6814

Cited by 2 publications

(2 citation statements)

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“…Many methods have been proposed in the regression testing literature to overcome such problems. Although the regression test is carried out Information Technology and Control 2021/3/50 repeatedly throughout the cycle of software development [12,17,21], most of such techniques are codebased techniques which prove to be useful in unit testing but not in case of functional testing and face the scalability issues with respect to big and complicated software systems [5,28,31]. Thus, the generation and prioritization of regression test cases from software specifications could be considered as an optimization in which meta-heuristic methods could be employed one of such methods is Genetic Algorithm (GA).…”

Section: Introductionmentioning

confidence: 99%

A Prioritization Approach for Regression Test Cases Based on a Revised Genetic Algorithm

Alrawashdeh¹,

El-Qirem²,

Althunibat³

et al. 2021

ITC

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The regression testing is a software-based testing approach executed to verify that changes made to the softwaredo not affect the existing functionality of the product. On account of the constraints of time and cost, it isimpractical to re-execute all the test cases for software whenever a change occurs. In order to overcome sucha problem in the selection of regression test cases, a prioritization technique should be employed. On the basisof some predefined criterion, the prioritization techniques create an execution schedule for the test cases, sothe higher priority test cases can be performed earlier than the lower priority test cases in order to improvethe efficiency of the software testing. Many prioritization criteria for regression test cases have been proposedin software testing literature; however, most of such techniques are code-based. Keeping in view this fact, thisresearch work has proposed a prioritization approach for regression test cases generated from software specificationswhich are based on the criterion of the Average Percentage Transition Coverage (APTC) by using arevised genetic algorithm. This criterion evaluates the rate of transitions coverage by incorporating knowledgeabout the significance of transitions between activates in the form of weights. APTC has been used as a fitnessevaluation function in a genetic algorithm to measure the effectiveness of a test cases sequence. Moreover, inorder to improve the coverage percentage, the proposed approach has revised the genetic algorithm by solvingthe problem of the optimal local solution. The experimental results show that the proposed approach demonstratesa good coverage performance with less execution time as compared to the standard genetic algorithmand some other prioritization techniques.

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Section: Introductionmentioning

confidence: 99%

A Prioritization Approach for Regression Test Cases Based on a Revised Genetic Algorithm

Alrawashdeh¹,

El-Qirem²,

Althunibat³

et al. 2021

ITC

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“…Sharma and Rastogi [70] suggested in her research a technique to reduce test cases and assign precedence to them. This technique or algorithm works in two stages.…”

mentioning

confidence: 99%

A review paper: optimal test cases for regression testing using artificial intelligent techniques

Khaleel

Anan

2023

IJECE

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<span lang="EN-US">The goal of the testing process is to find errors and defects in the software being developed so that they can be fixed and corrected before they are delivered to the customer. Regression testing is an essential quality testing technique during the maintenance phase of the program as it is performed to ensure the integrity of the program after modifications have been made. With the development of the software, the test suite becomes too large to be fully implemented within the given test cost in terms of budget and time. Therefore, the cost of regression testing using different techniques should be reduced, here we dealt many methods such as retest all technique, regression test selection technique (RTS) and test case prioritization technique (TCP). The efficiency of these techniques is evaluated through the use of many metrics such as average percentage of fault detected (APFD), average percentage block coverage (APBC) and average percentage decision coverage (APDC). In this paper we dealt with these different techniques used in test case selection and test case prioritization and the metrics used to evaluate their efficiency by using different techniques of artificial intelligent and describe the best of all.</span>

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Test Case Selection and Prioritization for Regression Testing using Fault Severity

Cited by 2 publications

References 4 publications

A Prioritization Approach for Regression Test Cases Based on a Revised Genetic Algorithm

A Prioritization Approach for Regression Test Cases Based on a Revised Genetic Algorithm

A review paper: optimal test cases for regression testing using artificial intelligent techniques

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