2026-07-23T05:29:47Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:10767 2024-03-06T10:30:41Z ddc:004 open_access

Non-Intrusive Online Timing Analysis of Large Embedded Applications Dreyer, Boris Hochberger, Christian WCET Execution Time Profiling ARM CoreSight Event Stream Processing A thorough understanding of the timing behavior of embedded systems software has become very important. With the advent of ever more complex embedded software e.g. in autonomous driving, the size of this software is growing at a fast pace. Execution time profiles (ETP) have proven to be a useful way to understand the timing behavior of embedded software. Collecting these ETPs was either limited to small applications or required multiple runs of the same software for calibration processes. In this contribution, we present a novel method for collecting ETPs in a single shot of the software at very high quality even for large applications. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Boris Dreyer and Christian Hochberger 2019 Is Part Of OASIcs, Volume 72, 19th International Workshop on Worst-Case Execution Time Analysis (WCET 2019) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.WCET.2019.2 urn:nbn:de:0030-drops-107674 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2019.2 eng https://creativecommons.org/licenses/by/3.0/legalcode