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Open Access

Prioritization of Abstract Test Cases by Weighting Covered Value Combinations

School of Computer Science and Engineering, Macau University of Science and Technology, Macau 999078, China
School of Computer Science, University of Nottingham Ningbo China, Ningbo 315100, China
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Abstract

Abstract Test Cases (ATCs) have been widely used in practical scenarios such as combinatorial testing. When the set of ATCs is constructed, Test Case Prioritization (TCP) is applied to improve the testing quality. Among the many TCP approaches for ATCs, one intuitive and well-studied approach is Interaction Coverage Based Prioritization (ICBP), which greedily identifies one element as the next ATC such that it covers the largest number of uncovered τ-wise parameter-value combinations. When a τ-wise value combination, vc, has been covered by the already-selected ATCs, it is generally believed that it may have no further role to play in the ICBP process. However, each already-covered vc may provide some potential contributions for the interaction coverage of the strength higher than τ. Motivated by this, we propose a new TCP approach to prioritize ATCs, Weighted Interaction Coverage Based Prioritization (WICBP). WICBP attempts to assign a weight to each τ-wise value combination that has already been covered. The experimental results show that when using the same prioritization strength, WICBP is more effective than ICBP but maintains comparable testing efficiency. In addition, WICBP with lower prioritization strengths achieves surprisingly competitive (even better) performance compared with ICBP with higher prioritization strengths.

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Tsinghua Science and Technology
Pages 460-483

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Cite this article:
Cui C, Li T, Huang R, et al. Prioritization of Abstract Test Cases by Weighting Covered Value Combinations. Tsinghua Science and Technology, 2026, 31(1): 460-483. https://doi.org/10.26599/TST.2024.9010078

2010

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Received: 16 January 2024
Revised: 04 March 2024
Accepted: 21 April 2024
Published: 25 August 2025
© The author(s) 2026.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).