Diagnosability, adequacy & size: How test suites impact autograding

Clegg, B.S., McMinn, P. orcid.org/0000-0001-9137-7433 and Fraser, G. (2022) Diagnosability, adequacy & size: How test suites impact autograding. In: Proceedings of the 55th Hawaii International Conference on System Sciences. 55th Hawaii International Conference on System Sciences 2022, 04-07 Jan 2022, Virtual / Maui, Hawaii, USA. University of Hawaiʻi at Mānoa , pp. 861-870. ISBN: 9780998133157 ISSN: 1530-1605 EISSN: 2572-6862

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Item Type: Proceedings Paper
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© 2022. Paper available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: Assessment; Evaluation and Measurements (AEM); autograding; coverage; diagnosability; mutation; testing
Dates:
  • Published (online): 4 January 2022
  • Published: 4 January 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 06 Aug 2025 15:11
Last Modified: 06 Aug 2025 15:11
Published Version: http://hdl.handle.net/10125/79438
Status: Published
Publisher: University of Hawaiʻi at Mānoa
Refereed: Yes
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Licence: CC-BY-NC-ND 4.0

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