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Challenges in relational learning for real-time systems applications
University of York.
University of York.ORCID iD: 0000-0003-2415-8219
University of York.
2008 (English)In: Inductive Logic Programming: 18th International Conference, ILP 2008 Prague, Czech Republic, September 10-12, 2008 Proceedings, Springer Berlin/Heidelberg, 2008, p. 42-58Chapter in book (Other academic)
Abstract [en]

The problem of determining the Worse Case Execution Time (WCET) of a piece of code is a fundamental one in the Real Time Systems community. Existing methods either try to gain this information by analysis of the program code or by running extensive timing analyses. This paper presents a new approach to the problem based on using Machine Learning in the form of ILP to infer program properties based on sample executions of the code. Additionally, significant improvements in the range of functions learnable and the time taken for learning can be made by the application of more advanced ILP techniques.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2008. p. 42-58
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 5194
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-23796DOI: 10.1007/978-3-540-85928-4_8ISBN: 978-3-540-85927-7 (print)OAI: oai:DiVA.org:mdh-23796DiVA, id: diva2:682425
Available from: 2013-12-27 Created: 2013-12-19 Last updated: 2014-01-24Bibliographically approved

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Bate, Iain

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