OASIcs.WCET.2007.1185.pdf
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Clustering Worst-Case Execution Times for Software Components
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Volume:
7th International Workshop on Worst-Case Execution Time Analysis (WCET'07) (WCET 2007)
Series: Open Access Series in Informatics (OASIcs)
Conference: Workshop on Worst-Case Execution Time Analysis (WCET) - License:
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license
- Publication Date: 2007-11-13
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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
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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