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oai:drops-oai.dagstuhl.de:1185 2024-03-06T10:28:26Z ddc:004 open_access

Clustering Worst-Case Execution Times for Software Components Fredriksson, Johan Nolte, Thomas Ermedahl, Andreas Nolin, Mikael Worst-case execution time Software components Reuse Analysis For component-based systems, classical techniques for Worst-Case Execution Time (WCET) estimation produce unacceptable overestimations of a componentsWCET. This is because software components more general behavior, required in order to facilitate reuse. Existing tools and methods in the context of Component-Based Software Engineering (CBSE) do not yet adequately consider reusable analyses. We present a method that allows different WCETs to be associated with subsets of a components behavior by clustering WCETs with respect to behavior. The method is intended to be used for enabling reusable WCET analysis for reusable software components. We illustrate our technique and demonstrate its potential in achieving tight WCET-estimates for components with rich behavior. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Johan Fredriksson and Thomas Nolte and Andreas Ermedahl and Mikael Nolin 2007 Is Part Of OASIcs, Volume 6, 7th International Workshop on Worst-Case Execution Time Analysis (WCET'07) (2007) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.WCET.2007.1185 urn:nbn:de:0030-drops-11852 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2007.1185 eng https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode