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Collections Frameworks for Points-to Analysis
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (Software Technology Group)
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (Software Technology Group)
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (Software Technology Group)ORCID iD: 0000-0002-7565-3714
2012 (English)In: IEEE 12th International Working Conference on Source Code Analysis and Manipulation (SCAM) 2012, IEEE, 2012, 4-13 p.Conference paper, Published paper (Refereed)
Abstract [en]

Points-to information is the basis for many analysesand transformations, e.g., for program understanding andoptimization. Collections frameworks are part of most modern programming languages’ infrastructures and used by many applications. The richness of features and the inherent structure of collection classes affect both performance and precision of points-to analysis negatively.

In this paper, we discuss how to replace original collections frameworks with versions specialized for points-to analysis. We implement such a replacement for the Java Collections Framework and support its benefits for points-to analysis by applying it to three different points-to analysis implementations. In experiments, context-sensitive points-to analyses require, on average, 16-24% less time while at the same time being more precise. Context-insensitive analysis in conjunction with inlining also benefits in both precision and analysis cost.

Place, publisher, year, edition, pages
IEEE, 2012. 4-13 p.
Keyword [en]
Points-to analysis, collections frameworks
National Category
Computer Science
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-22027DOI: 10.1109/SCAM.2012.24Scopus ID: 2-s2.0-84872300572ISBN: 978-1-4673-2398-7 (print)OAI: oai:DiVA.org:lnu-22027DiVA: diva2:560314
Conference
Twelfth IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2012), 23-24 Sept, 2012, Riva del Garda, Italy
Available from: 2012-10-12 Created: 2012-10-12 Last updated: 2017-04-24Bibliographically approved

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Gutzmann, TobiasLundberg, JonasLöwe, Welf

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf