Clustering Worst-Case Execution Times for Software Components

Authors Johan Fredriksson, Thomas Nolte, Andreas Ermedahl, Mikael Nolin



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OASIcs.WCET.2007.1185.pdf
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Johan Fredriksson
Thomas Nolte
Andreas Ermedahl
Mikael Nolin

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Johan Fredriksson, Thomas Nolte, Andreas Ermedahl, and Mikael Nolin. Clustering Worst-Case Execution Times for Software Components. In 7th International Workshop on Worst-Case Execution Time Analysis (WCET'07). Open Access Series in Informatics (OASIcs), Volume 6, pp. 1-7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)
https://doi.org/10.4230/OASIcs.WCET.2007.1185

Abstract

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.
Keywords
  • Worst-case execution time
  • Software components
  • Reuse
  • Analysis

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