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  • 标题:Early WCET Prediction Using Machine Learning
  • 本地全文:下载
  • 作者:Armelle Bonenfant ; Denis Claraz ; Marianne de Michiel
  • 期刊名称:OASIcs : OpenAccess Series in Informatics
  • 电子版ISSN:2190-6807
  • 出版年度:2017
  • 卷号:57
  • 页码:1-9
  • DOI:10.4230/OASIcs.WCET.2017.5
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要: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.
  • 关键词:Early WCET; Machine Learning; Static Analysis; C Language
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