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Softw. Eng. Methodol."],"published-print":{"date-parts":[[2024,2,29]]},"abstract":"<jats:p>Weakly hard real-time systems can, to some degree, tolerate deadline misses, but their schedulability still needs to be analyzed to ensure their quality of service. Such analysis usually occurs at early design stages to provide implementation guidelines to engineers so they can make better design decisions. Estimating worst-case execution times (WCET) is a key input to schedulability analysis. However, early on during system design, estimating WCET values is challenging, and engineers usually determine them as plausible ranges based on their domain knowledge. Our approach aims at finding restricted, safe WCET sub-ranges given a set of ranges initially estimated by experts in the context of weakly hard real-time systems. To this end, we leverage (1)\u00a0multi-objective search aiming at maximizing the violation of weakly hard constraints to find worst-case scheduling scenarios and (2)\u00a0polynomial logistic regression to infer safe WCET ranges with a probabilistic interpretation. We evaluated our approach by applying it to an industrial system in the satellite domain and several realistic synthetic systems. The results indicate that our approach significantly outperforms a baseline relying on random search without learning and estimates safe WCET ranges with a high degree of confidence in practical time (&lt; 23 h).<\/jats:p>","DOI":"10.1145\/3617176","type":"journal-article","created":{"date-parts":[[2023,8,26]],"date-time":"2023-08-26T10:37:08Z","timestamp":1693046228000},"page":"1-34","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Probabilistic Safe WCET Estimation for Weakly Hard Real-time Systems at Design Stages"],"prefix":"10.1145","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5222-1820","authenticated-orcid":false,"given":"Jaekwon","family":"Lee","sequence":"first","affiliation":[{"name":"University of Luxembourg, Luxembourg and University of Ottawa, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9025-7173","authenticated-orcid":false,"given":"Seung Yeob","family":"Shin","sequence":"additional","affiliation":[{"name":"University of Luxembourg, Luxembourg"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1393-1010","authenticated-orcid":false,"given":"Lionel C.","family":"Briand","sequence":"additional","affiliation":[{"name":"University of Luxembourg, Luxembourg and University of Ottawa, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0281-8231","authenticated-orcid":false,"given":"Shiva","family":"Nejati","sequence":"additional","affiliation":[{"name":"University of Ottawa, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,12,21]]},"reference":[{"issue":"4","key":"e_1_3_1_2_2","first-page":"72","article-title":"Measurement-based worst-case execution time estimation using the coefficient of variation","volume":"22","author":"Abella Jaume","year":"2017","unstructured":"Jaume Abella, Maria Padilla, Joan Del Castillo, and Francisco J. 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