Open Access

ARTICLE

An Ontology Based Test Case Prioritization Approach in Regression Testing

Muhammad Hasnain¹, Seung Ryul Jeong^2,*, Muhammad Fermi Pasha¹, Imran Ghani³

1 Monash University, Petaling Jaya, 46150, Malaysia
2 Kookmin University, Seoul, 136, Korea
3 Indiana University of Pennsylvania, PA, 15705, USA

* Corresponding Author: Seung Ryul Jeong. Email:

Computers, Materials & Continua 2021, 67(1), 1051-1068. https://doi.org/10.32604/cmc.2021.014686

Received 08 October 2020; Accepted 26 November 2020; Issue published 12 January 2021

Abstract

Regression testing is a widely studied research area, with the aim of meeting the quality challenges of software systems. To achieve a software system of good quality, we face high consumption of resources during testing. To overcome this challenge, test case prioritization (TCP) as a sub-type of regression testing is continuously investigated to achieve the testing objectives. This study provides an insight into proposing the ontology-based TCP (OTCP) approach, aimed at reducing the consumption of resources for the quality improvement and maintenance of software systems. The proposed approach uses software metrics to examine the behavior of classes of software systems. It uses Binary Logistic Regression (BLR) and AdaBoostM1 classifiers to verify correct predictions of the faulty and non-faulty classes of software systems. Reference ontology is used to match the code metrics and class attributes. We investigated five Java programs for the evaluation of the proposed approach, which was used to achieve code metrics. This study has resulted in an average percentage of fault detected (APFD) value of 94.80%, which is higher when compared to other TCP approaches. In future works, large sized programs in different languages can be used to evaluate the scalability of the proposed OTCP approach.

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Keywords

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