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  1. ACM SIGAPP Applied Computing Review (SIAP)
  2. Volume 12
  3. Volume 12, Issue 4, December 2012
  4. Summary-based data-flow analysis that understands regular composite objects and iterators
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Volume 17
Volume 16
Volume 15
Volume 14
Volume 13
Volume 12
Volume 12, Issue 4, December 2012
Probabilistic prediction of protein phosphorylation sites using classification relevance units machines
Modeling adaptation with Klaim
Summary-based data-flow analysis that understands regular composite objects and iterators
A novel user-based collaborative filtering method by inferring tag ratings
A multi-controller architecture for high-performance solid-state drives
A document-level sentiment analysis approach using artificial neural network and sentiment lexicons
Volume 12, Issue 3, September 2012
Volume 12, Issue 2,
Volume 12, Issue 1, Spring 2012
Volume 11
Volume 10
Volume 9
Volume 8
Volume 7
Volume 6
Volume 5
Volume 4
Volume 3
Volume 2
Volume 1

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Summary-based data-flow analysis that understands regular composite objects and iterators

Content Provider ACM Digital Library
Author Tang, Xiaolong Järvi, Jaakko
Abstract Today's industrial-strength compilers do not take advantage of the semantics of user-defined types and operations when analyzing code involving objects of user-defined types. We show that user-defined types that are both "regular" and "composite" (roughly corresponding to what is casually known as "value semantics") can, however, be analyzed efficiently and effectively. The notion of regularity comes from generic programming and C++. Programmers routinely rely on regularity when reasoning about generic code and manually performing (optimizing) code transformations and rewrites. Stepanov suggests that compilers, too, should take advantage of regularity to expand the opportunities for applying optimizing transformations. This paper exploits the properties of regular composite objects to produce concise procedure summaries for summary-based analyses, thus taking a step towards Stepanov's goal. In addition to regularity and compositeness, we also make our analysis aware of the prevalent "iterator" abstraction, which expands the applicability of our approach. We target the C++ language, and use the LLVM framework to implement the analysis.
Starting Page 36
Ending Page 47
Page Count 12
File Format PDF
ISSN 15596915 19310161
DOI 10.1145/2432546.2432549
Journal ACM SIGAPP Applied Computing Review (SIAP)
Volume Number 12
Issue Number 4
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-06-01
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword C++ Program analysis Generic programming
Content Type Text
Resource Type Article
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