Published in: OASIcs, Volume 63, 18th International Workshop on Worst-Case Execution Time Analysis (WCET 2018)
Thomas Huybrechts, Siegfried Mercelis, and Peter Hellinckx. A New Hybrid Approach on WCET Analysis for Real-Time Systems Using Machine Learning. In 18th International Workshop on Worst-Case Execution Time Analysis (WCET 2018). Open Access Series in Informatics (OASIcs), Volume 63, pp. 5:1-5:12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
@InProceedings{huybrechts_et_al:OASIcs.WCET.2018.5, author = {Huybrechts, Thomas and Mercelis, Siegfried and Hellinckx, Peter}, title = {{A New Hybrid Approach on WCET Analysis for Real-Time Systems Using Machine Learning}}, booktitle = {18th International Workshop on Worst-Case Execution Time Analysis (WCET 2018)}, pages = {5:1--5:12}, series = {Open Access Series in Informatics (OASIcs)}, ISBN = {978-3-95977-073-6}, ISSN = {2190-6807}, year = {2018}, volume = {63}, editor = {Brandner, Florian}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2018.5}, URN = {urn:nbn:de:0030-drops-97510}, doi = {10.4230/OASIcs.WCET.2018.5}, annote = {Keywords: Worst-Case Execution Time, Machine Learning, Hybrid Analysis, Feature Selection, COde Behaviour fRamework} }
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