Florian Tambon, Foutse Khomh and Giuliano Antoniol
Article (2023)
An external link is available for this item| Supplementary Material: | |
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| Department: | Department of Computer Engineering and Software Engineering |
| Funders: | NSERC, CRIAQ |
| PolyPublie URL: | https://publications.polymtl.ca/53237/ |
| Journal Title: | Information and Software Technology (vol. 155) |
| Publisher: | Elsevier B.V. |
| DOI: | 10.1016/j.infsof.2022.107129 |
| Official URL: | https://doi.org/10.1016/j.infsof.2022.107129 |
| Date Deposited: | 18 Apr 2023 14:58 |
| Last Modified: | 06 Jan 2026 16:03 |
| Cite in APA 7: | Tambon, F., Khomh, F., & Antoniol, G. (2023). A probabilistic framework for mutation testing in deep neural networks. Information and Software Technology, 155, 107129 (13 pages). https://doi.org/10.1016/j.infsof.2022.107129 |
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