Abstract
The average case of some elimination-based data-flow analysis algorithms is analyzed in a mathematical way. Besides this allows for comparing the timing behavior of the algorithms, it also provides insights into how relevant the underlying statistics are when compared to practical settings.
BibTeX - Entry
@InProceedings{blieberger:DagSemProc.08161.2,
author = {Blieberger, Johann},
title = {{Average Case Analysis of Some Elimination-Based Data-Flow Analysis Algorithms}},
booktitle = {Scalable Program Analysis},
pages = {1--12},
series = {Dagstuhl Seminar Proceedings (DagSemProc)},
ISSN = {1862-4405},
year = {2008},
volume = {8161},
editor = {Florian Martin and Hanne Riis Nielson and Claudio Riva and Markus Schordan},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2008/1572},
URN = {urn:nbn:de:0030-drops-15722},
doi = {10.4230/DagSemProc.08161.2},
annote = {Keywords: Average case analysis, elimination-based data-flow analysis algorithms, reducible flow graphs}
}
Keywords: |
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Average case analysis, elimination-based data-flow analysis algorithms, reducible flow graphs |
Collection: |
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08161 - Scalable Program Analysis |
Issue Date: |
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2008 |
Date of publication: |
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28.08.2008 |