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Record link: 
http://hdl.handle.net/20.500.12708/53917
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Title: 
Context-Sensitive Measurement-Based Worst-Case Execution Time Estimation
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Citation: 
Zolda, M., Kirner, R., & Bünte, S. (2011). Context-Sensitive Measurement-Based Worst-Case Execution Time Estimation. In Proc. 17th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA’11) (pp. 243–250). http://hdl.handle.net/20.500.12708/53917
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Publication Type: 
Inproceedings - Poster Contribution
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Authors: 
Zolda, Michael 
Kirner, Raimund 
Bünte, Sven 
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Organisational Unit: 
E191-01 - Forschungsbereich Cyber-Physical Systems 
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Published in: 
Proc. 17th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'11) 
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Date (published): 
2011
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Event name: 
17th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'11) 
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Event date: 
28-Aug-2011 - 31-Aug-2011
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Event place: 
Toyama, Japan, Non-EU
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Number of Pages: 
8
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Peer reviewed: 
Yes
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Abstract: 
The goal of measurement-based WCET estimation(MBWE) is to derive an estimate of the worst-case execution time (WCET) of a given piece of software on a particular target platform by executing the software on the target hardware and analyzing the obtained time-stamped execution traces. In this paper we introduce context-sensitive MBWE, an approach that can reduce pessimism by making use of state information that is exposed through individual control-flow decisions. We show how to extend the popular IPET method, to obtain tighter WCET estimates. We provide confirmative empirical results that demonstrate the effectiveness of our approach.
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Research Areas: 
Computer Engineering and Software-Intensive Systems: 100%
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Science Branch: 
Mathematik, Informatik
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Appears in Collections:
Conference Paper

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