TACLeBench: A Benchmark Collection to Support Worst-Case Execution Time Research | Zendy

Heiko Falk | Zendy; Sebastian Altmeyer | Zendy; Peter Hellinckx | Zendy; Björn Lisper | Zendy; Wolfgang Puffitsch | Zendy; Christine Rochange | Zendy; Martin Schoeberl | Zendy; Rasmus Bo Sørensen | Zendy; Peter Wägemann | Zendy; Simon Wegener | Zendy

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TACLeBench: A Benchmark Collection to Support Worst-Case Execution Time Research

Author(s) -

Heiko Falk,

Sebastian Altmeyer,

Peter Hellinckx,

Björn Lisper,

Wolfgang Puffitsch,

Christine Rochange,

Martin Schoeberl,

Rasmus Bo Sørensen,

Peter Wägemann,

Simon Wegener

Publication year - 2016

Publication title -

hal (le centre pour la communication scientifique directe)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.4230/oasics.wcet.2016.2

Subject(s) - computer science , benchmark (surveying) , open source , coding (social sciences) , data collection , software engineering , execution time , data science , database , programming language , software , geodesy , geography , statistics , mathematics

Engineering related research, such as research on worst-case execution time, uses experimentation to evaluate ideas. For these experiments we need example programs. Furthermore, to make the research experimentation repeatable those programs shall be made publicly available. We collected open-source programs, adapted them to a common coding style, and provide the collection in open-source. The benchmark collection is called TACLeBench and is available from GitHub in version 1.9 at the publication date of this paper. One of the main features of TACLeBench is that all programs are self-contained without any dependencies on standard libraries or an operating system.

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