Prioritising abstract test cases: an empirical study
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Institution of Engineering and Technology
2019
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| Online Access: | https://eprints.nottingham.ac.uk/57320/ |
| _version_ | 1848799467689476096 |
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| author | Huang, Rubing Zong, Weiwen Chen, Tsong Yueh Towey, Dave Zhou, Yunan Chen, Jinfu |
| author_facet | Huang, Rubing Zong, Weiwen Chen, Tsong Yueh Towey, Dave Zhou, Yunan Chen, Jinfu |
| author_sort | Huang, Rubing |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T20:36:08Z |
| format | Article |
| id | nottingham-57320 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:36:08Z |
| publishDate | 2019 |
| publisher | Institution of Engineering and Technology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-573202019-09-12T12:08:37Z https://eprints.nottingham.ac.uk/57320/ Prioritising abstract test cases: an empirical study Huang, Rubing Zong, Weiwen Chen, Tsong Yueh Towey, Dave Zhou, Yunan Chen, Jinfu 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. Institution of Engineering and Technology 2019-08-23 Article PeerReviewed application/pdf en https://eprints.nottingham.ac.uk/57320/1/prioritising.pdf 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 https://digital-library.theiet.org/content/journals/10.1049/iet-sen.2018.5199 doi:10.1049/iet-sen.2018.5199 doi:10.1049/iet-sen.2018.5199 |
| spellingShingle | Huang, Rubing Zong, Weiwen Chen, Tsong Yueh Towey, Dave Zhou, Yunan Chen, Jinfu Prioritising abstract test cases: an empirical study |
| title | Prioritising abstract test cases: an empirical study |
| title_full | Prioritising abstract test cases: an empirical study |
| title_fullStr | Prioritising abstract test cases: an empirical study |
| title_full_unstemmed | Prioritising abstract test cases: an empirical study |
| title_short | Prioritising abstract test cases: an empirical study |
| title_sort | prioritising abstract test cases: an empirical study |
| url | https://eprints.nottingham.ac.uk/57320/ https://eprints.nottingham.ac.uk/57320/ https://eprints.nottingham.ac.uk/57320/ |