Hammad Ahmad, Colton Holoday, Ian Bertram, Kevin Angstadt, Zohreh Sharafi and Westley Weimer
Paper (2022)
An external link is available for this itemDepartment: | Department of Computer Engineering and Software Engineering |
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PolyPublie URL: | https://publications.polymtl.ca/56836/ |
Conference Title: | 18th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2022) |
Conference Location: | Singapore |
Conference Date(s): | 2022-11-17 |
Publisher: | ACM |
DOI: | 10.1145/3558489.3559071 |
Official URL: | https://doi.org/10.1145/3558489.3559071 |
Date Deposited: | 20 Dec 2023 11:33 |
Last Modified: | 25 Sep 2024 16:48 |
Cite in APA 7: | Ahmad, H., Holoday, C., Bertram, I., Angstadt, K., Sharafi, Z., & Weimer, W. (2022, November). LOGI: an empirical model of heat-induced disk drive data loss and its implications for data recovery [Paper]. 18th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2022), Singapore. https://doi.org/10.1145/3558489.3559071 |
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