2026-07-20T14:48:48Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:4601 2024-03-06T10:29:32Z ddc:004 open_access

On the Sustainability of the Extreme Value Theory for WCET Estimation Santinelli, Luca Morio, Jérôme Dufour, Guillaume Jacquemart, Damien Extreme Value Theory Worst-Case Execution Time Probabilistic Worst-Case Execution Time Dependence Stationarity Measurement-based approaches with extreme value worst-case estimations are beginning to be proficiently considered for timing analyses. In this paper, we intend to make more formal extreme value theory applicability to safe worst-case execution time estimations. We outline complexities and challenges behind extreme value theory assumptions and parameter tuning. Including the knowledge requirements, we are able to conclude about safety of the probabilistic worst-case execution estimations from the extreme value theory, and execution time measurements. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Luca Santinelli and Jérôme Morio and Guillaume Dufour and Damien Jacquemart 2014 Is Part Of OASIcs, Volume 39, 14th International Workshop on Worst-Case Execution Time Analysis (2014) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.WCET.2014.21 urn:nbn:de:0030-drops-46013 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2014.21 eng https://creativecommons.org/licenses/by/3.0/legalcode