2026-07-23T16:35:21Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:2826 2024-03-06T10:28:45Z ddc:004 open_access

On the Use of Context Information for Precise Measurement-Based Execution Time Estimation Stattelmann, Stefan Martin, Florian WCET analysis trace execution time measurement The present paper investigates the influence of the execution history on the precision of measurement-based execution time estimates for embedded software. A new approach to timing analysis is presented which was designed to overcome the problems of existing static and dynamic methods. By partitioning the analyzed programs into easily traceable segments and by precisely controlling run-time measurements with on-chip tracing facilities, the new method is able to preserve information about the execution context of measured execution times. After an adequate number of measurements have been taken, this information can be used to precisely estimate the Worst-Case Execution Time of a program without being overly pessimistic. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Stefan Stattelmann and Florian Martin 2010 Is Part Of OASIcs, Volume 15, 10th International Workshop on Worst-Case Execution Time Analysis (WCET 2010) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.WCET.2010.64 urn:nbn:de:0030-drops-28269 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2010.64 eng https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode