Abstract
Measurement-based timing analysis (MBTA) is a hybrid approach that combines execution time measurements with static program analysis techniques to obtain an estimate of the worst-case execution time (WCET) of a program. In order to minimize the chance that the WCET estimate is below the real WCET, the set of representative execution-time measurements has to be selected advisedly. We present an input data generation technique that uses a combination of model checking and genetic algorithms in order to heuristically optimize the set of measurements in terms of safety.
Original language | English |
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Title of host publication | SIES 2011 - 6th IEEE International Symposium on Industrial Embedded Systems, Conference Proceedings |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 204-212 |
Number of pages | 9 |
Volume | 5953663 |
ISBN (Print) | 978-161284820-4 |
DOIs | |
Publication status | Published - 1 Jan 2011 |
Event | SIES 2011, 6th IEEE International Symposium on Industrial Embedded Systems - Vasteras, Sweden Duration: 15 Jun 2011 → 17 Jun 2011 |
Conference
Conference | SIES 2011, 6th IEEE International Symposium on Industrial Embedded Systems |
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Country/Territory | Sweden |
City | Vasteras |
Period | 15/06/11 → 17/06/11 |
Keywords
- measurement-based timing analysis
- real-time systems
- validation
- worst-case execution time