Reference : Estimating Probabilistic Safe WCET Ranges of Real-Time Systems at Design Stages
Scientific journals : Article
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/51197
Estimating Probabilistic Safe WCET Ranges of Real-Time Systems at Design Stages
English
Lee, Jaekwon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SVV >]
Shin, Seung Yeob mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SVV >]
Nejati, Shiva [University of Ottawa, Canada > School of Electrical Engineering and Computer Science]
Briand, Lionel mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SVV >]
In press
ACM Transactions on Software Engineering and Methodology
Association for Computing Machinery (ACM)
Yes
1049-331X
United States
[en] Schedulability Analysis ; Worst-Case Execution Time ; Meta-Heuristic Search ; Machine Learning ; Search-Based Software Engineering
[en] Estimating worst-case execution times (WCET) is an important activity at early design stages of real-time systems. Based on WCET estimates, engineers make design and implementation decisions to ensure that task execution always complete before their specified deadlines. However, in practice, engineers often cannot provide precise point WCET estimates and prefer to provide plausible WCET ranges. Given a set of real-time tasks with such ranges, we provide an automated technique to determine for what WCET values the system is likely to meet its deadlines, and hence operate safely with a probabilistic guarantee. Our approach combines a search algorithm for generating worst-case scheduling scenarios with polynomial logistic regression for inferring probabilistic safe WCET ranges. We evaluated our approach by applying it to three industrial systems from different domains and several synthetic systems. Our approach efficiently and accurately estimates probabilistic safe WCET ranges within which deadlines are likely to be satisfied with a high degree of confidence.
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Software Verification and Validation Lab (SVV Lab) ; University of Luxembourg: High Performance Computing - ULHPC
European Research Council (ERC) ; NSERC
http://hdl.handle.net/10993/51197
H2020 ; 694277 - TUNE - Testing the Untestable: Model Testing of Complex Software-Intensive Systems

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