OASIcs.WCET.2008.1668.pdf
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A tool for average and worst-case execution time analysis
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8th International Workshop on Worst-Case Execution Time Analysis (WCET'08) (WCET 2008)
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: 2008-11-13
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David Hickey, Diarmuid Early, and Michel Schellekens. A tool for average and worst-case execution time analysis. In 8th International Workshop on Worst-Case Execution Time Analysis (WCET'08). Open Access Series in Informatics (OASIcs), Volume 8, pp. 1-12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)
https://doi.org/10.4230/OASIcs.WCET.2008.1668
https://doi.org/10.4230/OASIcs.WCET.2008.1668
Abstract
We have developed a new programming paradigmwhich, for conforming programs, allows the average-case execution time (ACET) to be obtained automatically by a static analysis. This is achieved by tracking the data structures and their distributions that will exist during all possible executions of a program. This new programming paradigm is called MOQA and the tool which performs the static analysis is called Distritrack. In this paper we give an overview of both MOQA and Distritrack. We then discuss the possibility of extending Distritrack for static worst-case execution time (WCET) analysis ofMOQA programs using the tight tracking of data structures already being performed.
The authors wish to acknowledge the support of SFI grant SFI 02/IN.1/I181.
Keywords
- Tool
- static timing
- worst-case
- average-case
- execution time
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