Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH scholarly article en Hardy, Damien; Rouxel, Benjamin; Puaut, Isabelle http://www.dagstuhl.de/oasics License
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URN: urn:nbn:de:0030-drops-73033
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The Heptane Static Worst-Case Execution Time Estimation Tool

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Abstract

Estimation of worst-case execution times (WCETs) is required to validate the temporal behavior of hard real time systems. Heptane is an open-source software program that estimates upper bounds of execution times on MIPS and ARM v7 architectures, offered to the WCET estimation community to experiment new WCET estimation techniques. The software architecture of Heptane was designed to be as modular and extensible as possible to facilitate the integration of new approaches. This paper is devoted to a description of Heptane, and includes information on the analyses it implements, how to use it and extend it.

BibTeX - Entry

@InProceedings{hardy_et_al:OASIcs:2017:7303,
  author =	{Damien Hardy and Benjamin Rouxel and Isabelle Puaut},
  title =	{{The Heptane Static Worst-Case Execution Time Estimation Tool}},
  booktitle =	{17th International Workshop on Worst-Case Execution Time Analysis (WCET 2017)},
  pages =	{1--12},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-057-6},
  ISSN =	{2190-6807},
  year =	{2017},
  volume =	{57},
  editor =	{Jan Reineke},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/7303},
  URN =		{urn:nbn:de:0030-drops-73033},
  doi =		{10.4230/OASIcs.WCET.2017.8},
  annote =	{Keywords: Worst-Case Execution Time Estimation, Static Analysis, WCET Estimation Tool, Implicit Path Enumeration Technique}
}

Keywords: Worst-Case Execution Time Estimation, Static Analysis, WCET Estimation Tool, Implicit Path Enumeration Technique
Seminar: 17th International Workshop on Worst-Case Execution Time Analysis (WCET 2017)
Issue date: 2017
Date of publication: 2017


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