A Comparative Study of Regression Testing Techniques: An Industry-Oriented Evaluation of Efficiency, Coverage and Cost

Trina, Saha and Md., Siam (2025) A Comparative Study of Regression Testing Techniques: An Industry-Oriented Evaluation of Efficiency, Coverage and Cost. Journal of Innovation and Technology, 2025 (34). pp. 1-11. ISSN 2805-5179

	Text joit2025_34.pdf - Published Version Available under License Creative Commons Attribution. Download (244kB)
	Text 833 - Published Version Available under License Creative Commons Attribution. Download (42kB)

Abstract

Regression testing is an essential component of software maintenance, aimed at ensuring that newly introduced changes do not negatively impact the existing functionality of a system. In today's fast-paced industrial environments, particularly those employing agile methodologies and Continuous Integration/Continuous Deployment (CI/CD) pipelines, the choice of regression testing technique significantly influences project timelines, resource allocation, and product quality. This research investigates and compares five widely adopted regression testing types: Corrective, Retest-All, Selective, Progressive, and Complete Regression Testing. This study's primary objective is to assess each technique's industrial suitability based on key evaluation metrics such as time efficiency, cost of execution, test coverage, automation/tool support, scalability, and risk of fault omission. We adopted a qualitative scoring methodology, grounded in a comprehensive review of several scholarly articles and industry reports. Each testing type was critically analyzed and benchmarked using a comparison matrix to highlight its strengths and limitations. The analysis reveals that while each regression testing method serves distinct use cases, Selective Regression Testing strikes the best balance between efficiency and coverage for modern industrial needs, particularly in projects with frequent releases and constrained testing budgets. The novelty of this study lies in its holistic, literature-backed comparative framework, explicitly tailored to the industry context aspect often overlooked in prior academic evaluations

Item Type:	Article
Uncontrolled Keywords:	Regression Testing, Software Maintenance, Industrial Suitability, Selective Regression Testing, Agile CI/CD
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Depositing User:	Unnamed user with email masilah.mansor@newinti.edu.my
Date Deposited:	31 Dec 2025 03:37
Last Modified:	31 Dec 2025 03:37
URI:	http://eprints.intimal.edu.my/id/eprint/2284

Actions (login required)

View Item