Prioritising abstract test cases: an empirical study

Huang, Rubing, Zong, Weiwen, Chen, Tsong Yueh, Towey, Dave, Zhou, Yunan and Chen, Jinfu (2019) Prioritising abstract test cases: an empirical study. IET Software, 13 (4). pp. 313-326. ISSN 1751-8814

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Abstract

Test-case prioritisation (TCP) attempts to schedule the order of test-case execution such that faults can be detected as quickly as possible. TCP has been widely applied in many testing scenarios such as regression testing and fault localisation. Abstract test cases (ATCs) are derived from models of the system under test and have been applied to many testing environments such as model-based testing and combinatorial interaction testing. Although various empirical and analytical comparisons for some ATC prioritisation (ATCP) techniques have been conducted, to the best of the authors' knowledge, no comparative study focusing on the most current techniques has yet been reported. In this study, they investigated 18 ATCP techniques, categorised into four classes. They conducted a comprehensive empirical study to compare 16 of the 18 ATCP techniques in terms of their testing effectiveness and efficiency. They found that different ATCP techniques could be cost-effective in different testing scenarios, allowing us to present recommendations and guidelines for which techniques to use under what conditions. © The Institution of Engineering and Technology 2018.

Item Type: Article
Additional Information: This paper is under Global University Publication Licence. This paper is a postprint of a paper submitted to and accepted for publication in IET Software and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library.
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > School of Computer Science
Identification Number: https://doi.org/10.1049/iet-sen.2018.5199
Depositing User: QIU, Lulu
Date Deposited: 28 Aug 2019 13:18
Last Modified: 12 Sep 2019 12:08
URI: https://eprints.nottingham.ac.uk/id/eprint/57320

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