OASIcs.WCET.2017.5.pdf
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Early WCET Prediction Using Machine Learning
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17th International Workshop on Worst-Case Execution Time Analysis (WCET 2017)
Series: Open Access Series in Informatics (OASIcs)
Conference: Workshop on Worst-Case Execution Time Analysis (WCET) - License:
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- Publication Date: 2017-06-23
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Armelle Bonenfant, Denis Claraz, Marianne de Michiel, and Pascal Sotin. Early WCET Prediction Using Machine Learning. In 17th International Workshop on Worst-Case Execution Time Analysis (WCET 2017). Open Access Series in Informatics (OASIcs), Volume 57, pp. 5:1-5:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)
https://doi.org/10.4230/OASIcs.WCET.2017.5
Abstract
For delivering a precise Worst Case Execution Time (WCET), the WCET static analysers need the executable program and the target architecture. However, a prediction (even coarse) of the future WCET would be helpful at design stages where only the source code is available. We investigate the possibility of creating predictors of the WCET based on the C source code using machine-learning (work in progress). If successful, our proposal would offer to the designer precious information on the WCET of a piece of code at the early stages of the development process.
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- Early WCET
- Machine Learning
- Static Analysis
- C Language
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References
- Peter Altenbernd, Jan Gustafsson, Björn Lisper, and Friedhelm Stappert. Early execution time-estimation through automatically generated timing models. Real-Time Systems, 52(6):731-760, 2016. URL: http://dx.doi.org/10.1007/s11241-016-9250-7.
- Clément Ballabriga, Hugues Cassé, Christine Rochange, and Pascal Sainrat. OTAWA: an open toolbox for adaptive WCET analysis. In Sang Lyul Min, Robert G. Pettit IV, Peter P. Puschner, and Theo Ungerer, editors, Software Technologies for Embedded and Ubiquitous Systems - 8th IFIP WG 10.2 International Workshop, SEUS 2010, Waidhofen/Ybbs, Austria, October 13-15, 2010. Proceedings, volume 6399 of Lecture Notes in Computer Science, pages 35-46. Springer, 2010. URL: http://dx.doi.org/10.1007/978-3-642-16256-5_6.
- Franck Cassez and Jean-Luc Béchennec. Timing analysis of binary programs with UPPAAL. In Josep Carmona, Mihai T. Lazarescu, and Marta Pietkiewicz-Koutny, editors, 13th International Conference on Application of Concurrency to System Design, ACSD 2013, Barcelona, Spain, 8-10 July, 2013, pages 41-50. IEEE Computer Society, 2013. URL: http://dx.doi.org/10.1109/ACSD.2013.7.
- Heiko Falk, Sebastian Altmeyer, Peter Hellinckx, Björn Lisper, Wolfgang Puffitsch, Christine Rochange, Martin Schoeberl, Rasmus Bo Sorensen, Peter Wägemann, and Simon Wegener. Taclebench: A benchmark collection to support worst-case execution time research. In Martin Schoeberl, editor, 16th International Workshop on Worst-Case Execution Time Analysis, WCET 2016, July 5, 2016, Toulouse, France, volume 55 of OASIcs, pages 2:1-2:10. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2016. URL: http://dx.doi.org/10.4230/OASIcs.WCET.2016.2.
- Eibe Frank, Mark A. Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer, Ian H. Witten, and Len Trigg. Weka-a machine learning workbench for data mining. In Oded Maimon and Lior Rokach, editors, Data Mining and Knowledge Discovery Handbook, 2nd ed., pages 1269-1277. Springer, 2010. URL: http://dx.doi.org/10.1007/978-0-387-09823-4_66.
- Jan Gustafsson, Peter Altenbernd, Andreas Ermedahl, and Björn Lisper. Approximate worst-case execution time analysis for early stage embedded systems development. In Sunggu Lee and Priya Narasimhan, editors, Software Technologies for Embedded and Ubiquitous Systems, 7th IFIP WG 10.2 International Workshop, SEUS 2009, Newport Beach, CA, USA, November 16-18, 2009, Proceedings, volume 5860 of Lecture Notes in Computer Science, pages 308-319. Springer, 2009. URL: http://dx.doi.org/10.1007/978-3-642-10265-3_28.
- Yau-Tsun Steven Li and Sharad Malik. Performance analysis of embedded software using implicit path enumeration. In Richard Gerber and Thomas J. Marlowe, editors, Proceedings of the ACM SIGPLAN 1995 Workshop on Languages, Compilers, & Tools for Real-Time Systems (LCT-RTS 1995). La Jolla, California, June 21-22, 1995, pages 88-98. ACM, 1995. URL: http://dx.doi.org/10.1145/216636.216666.
- Marianne De Michiel, Armelle Bonenfant, Hugues Cassé, and Pascal Sainrat. Static loop bound analysis of C programs based on flow analysis and abstract interpretation. In The Fourteenth IEEE Internationl Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2008, Kaohisung, Taiwan, 25-27 August 2008, Proceedings, pages 161-166. IEEE Computer Society, 2008. URL: http://dx.doi.org/10.1109/RTCSA.2008.53.
- Chang Yun Park and Alan C. Shaw. Experiments with a program timing tool based on source-level timing schema. IEEE Computer, 24(5):48-57, 1991. URL: http://dx.doi.org/10.1109/2.76286.
- Peter P. Puschner and Christian Koza. Calculating the maximum execution time of real-time programs. Real-Time Systems, 1(2):159-176, 1989. URL: http://dx.doi.org/10.1007/BF00571421.
- David Trilla, Javier Jalle, Mikel Fernández, Jaume Abella, and Francisco J. Cazorla. Improving early design stage timing modeling in multicore based real-time systems. In 2016 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Vienna, Austria, April 11-14, 2016, pages 305-316. IEEE Computer Society, 2016. URL: http://dx.doi.org/10.1109/RTAS.2016.7461338.
- Reinhard Wilhelm, Jakob Engblom, Andreas Ermedahl, Niklas Holsti, Stephan Thesing, David B. Whalley, Guillem Bernat, Christian Ferdinand, Reinhold Heckmann, Tulika Mitra, Frank Mueller, Isabelle Puaut, Peter P. Puschner, Jan Staschulat, and Per Stenström. The worst-case execution-time problem - overview of methods and survey of tools. ACM Trans. Embedded Comput. Syst., 7(3):36:1-36:53, 2008. URL: http://dx.doi.org/10.1145/1347375.1347389.
- Xuejun Yang, Yang Chen, Eric Eide, and John Regehr. Finding and understanding bugs in C compilers. In Mary W. Hall and David A. Padua, editors, Proceedings of the 32nd ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2011, San Jose, CA, USA, June 4-8, 2011, pages 283-294. ACM, 2011. URL: http://dx.doi.org/10.1145/1993498.1993532.