You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Worst-Case Execution Time Clustering for Software Components

Fulltext:


Authors:

Johan Fredriksson, Thomas Nolte, Andreas Ermedahl, Mikael Sjödin

Research group:

Embedded Systems Software Engineering

Publication Type:

Report

Publisher:

Department of Computer Science and Electronics, Mälardalen University

Abstract

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.

Bibtex

@techreport{Fredriksson1060,
author = {Johan Fredriksson and Thomas Nolte and Andreas Ermedahl and Mikael Sj{\"o}din},
title = {Worst-Case Execution Time Clustering for Software Components},
month = {April},
year = {2007},
publisher = {Department of Computer Science and Electronics, M{\"a}lardalen University},
url = {http://www.es.mdu.se/publications/1060-}
}