| dc.contributor.author | Bünte, S. | |
| dc.contributor.author | Zolda, Michael | |
| dc.contributor.author | Kirner, Raimund | |
| dc.date.accessioned | 2011-11-02T11:01:24Z | |
| dc.date.available | 2011-11-02T11:01:24Z | |
| dc.date.issued | 2011-01-01 | |
| dc.identifier.citation | Bünte , S , Zolda , M & Kirner , R 2011 , Let's get less optimistic in measurement-based timing analysis . in SIES 2011 - 6th IEEE International Symposium on Industrial Embedded Systems, Conference Proceedings . vol. 5953663 , Institute of Electrical and Electronics Engineers (IEEE) , pp. 204-212 , SIES 2011, 6th IEEE International Symposium on Industrial Embedded Systems , Vasteras , Sweden , 15/06/11 . https://doi.org/10.1109/SIES.2011.5953663 | |
| dc.identifier.citation | conference | |
| dc.identifier.isbn | 978-161284820-4 | |
| dc.identifier.uri | http://hdl.handle.net/2299/6881 | |
| dc.description | “This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.” | |
| dc.description.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. | en |
| dc.format.extent | 9 | |
| dc.format.extent | 3730364 | |
| dc.language.iso | eng | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
| dc.relation.ispartof | SIES 2011 - 6th IEEE International Symposium on Industrial Embedded Systems, Conference Proceedings | |
| dc.subject | measurement-based timing analysis | |
| dc.subject | real-time systems | |
| dc.subject | validation | |
| dc.subject | worst-case execution time | |
| dc.title | Let's get less optimistic in measurement-based timing analysis | en |
| dc.contributor.institution | School of Computer Science | |
| dc.contributor.institution | Science & Technology Research Institute | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=80051981233&partnerID=8YFLogxK | |
| rioxxterms.versionofrecord | 10.1109/SIES.2011.5953663 | |
| rioxxterms.type | Other | |
| herts.preservation.rarelyaccessed | true | |
