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Clustering Worst-Case Execution Times for Software Components
Mälardalen University, Department of Computer Science and Electronics.
Mälardalen University, Department of Computer Science and Electronics.ORCID iD: 0000-0001-6132-7945
Mälardalen University, Department of Computer Science and Electronics.
Mälardalen University, Department of Computer Science and Electronics.ORCID iD: 0000-0001-7586-0409
2007 (English)In: Proceedings of the 7th International Workshop on Worst Case Execution Time Analysis (WCET'07), Pisa, Italy, 2007, p. 19-25Conference paper, Published paper (Refereed)
Abstract [en]

For component-based systems, classical techniques for WCET-estimation produce unacceptable overestimations of the WCET. This is because software components have more general behavior in order to support reuse. Existing tools and methods for 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 the component behavior by clustering WCETs with respect to behavior. The method is intended to be used for facilitating 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.

Place, publisher, year, edition, pages
2007. p. 19-25
Series
OpenAccess Series in Informatics, ISSN 2190-6807 ; 6
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-7028DOI: 10.4230/OASIcs.WCET.2007.1185ISBN: 978-3-939897-05-7 (print)OAI: oai:DiVA.org:mdh-7028DiVA, id: diva2:237038
Conference
7th International Workshop on Worst Case Execution Time Analysis (WCET'07), Pisa, Italy
Available from: 2009-09-25 Created: 2009-09-25 Last updated: 2015-09-15Bibliographically approved

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Nolte, ThomasNolin, Mikael

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Fredriksson, JohanNolte, ThomasErmedahl, AndreasNolin, Mikael
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CiteExportLink to record
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Citation style
  • apa
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  • nn-NB
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  • Other locale
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Output format
  • html
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  • asciidoc
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