AUTOMATION OF TEST CASE PRIORITIZATION: A SYSTEMATIC LITERATURE REVIEW AND CURRENT TRENDS

Title

AUTOMATION OF TEST CASE PRIORITIZATION: A SYSTEMATIC LITERATURE REVIEW AND CURRENT TRENDS

Creator

George J.J.C.; Augustine D.P.

Description

An Important stage in software testing is designing a test suite [18]. The test case repository consists of a large number of test cases. However, only a portion of these test cases would be relevant and can find bugs. Test case prioritization(TCP) is one such technique that can substantially increase the cost-effectiveness of the testing activity. Using test case prioritization, more relevant test cases can be captured and tested in the earlier stages of the testing phase. The objective of the study is to understand different techniques used and a systemic study on the effectiveness of these approaches. The Literature consists of a few relevant articles introducing novel techniques for test case prioritization between 2008 and 2022. Studies show that parameters that are considered for test case prioritization are important. Hence, the current article also focuses on the parameters considered in the literature. 40% of the articles used in the literature review use different test case information as parameters. A systemic review and analysis of data sets involved in the literature are evaluated in the study. The review also focuses on the different approaches used for comparing the newly introduced approach and reveals a novel approach for prioritization. 2023 Little Lion Scientific. All rights reserved.

Source

Journal of Theoretical and Applied Information Technology, Vol-101, No. 3, pp. 1381-1387.

Date

2023-01-01

Publisher

Little Lion Scientific

Subject

Regression Testing; Software Engineering; Software Test Automation; Test Case Prioritization; Software Testing

Coverage

George J.J.C., Department of Computer Science, CHRIST (Deemed to be University, India; Augustine D.P., Department of Computer Science, CHRIST (Deemed to be University, India

Rights

Restricted Access

Relation

ISSN: 19928645

Format

Online

Language

English

Type

Article

Identifier

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153796769&partnerID=40&md5=6e6f814273204d830f01bb71002d6fe6