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Regularly annotated set constraints
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Conference on Programming Language Design and Implementation archive
Proceedings of the 2007 ACM SIGPLAN conference on Programming language design and implementation table of contents
San Diego, California, USA
SESSION: Programs analyzed table of contents
Pages: 331 - 341  
Year of Publication: 2007
ISBN:978-1-59593-633-2
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Authors
John Kodumal  UC Berkeley and Coverity: Inc., Berkeley, CA
Alex Aiken  Stanford University, Stanford, CA
Sponsors
SIGPLAN: ACM Special Interest Group on Programming Languages
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

A general class of program analyses area combination of context-free and regular language reachability. We define regularly annotated set constraints, a constraint formalism that captures this class. Our results extend the class of reachability problems expressible naturally in a single constraint formalism, including such diverse applications as interprocedural dataflow analysis, precise type-based flow analysis, and pushdown model checking.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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H. Chen, D. Dean, and D. Wagner. Model checking one million lines of C code. In Proc. of the 11th Annual Network and Distributed System Security Symp., pages 171--185, Feb4-6, 2004.
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T. Jensen, D. L. Metayer, and T. Thorn. Verification of control flow based security properties. In Proc. of the 1999 IEEE Symp. on security and Privacy, 1999.
 
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J. Kodumal. Banshee: A toolkit for constructing constraint-based analyses. http://banshee.sourceforge.net, 2005.
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J. Kodumal and A. Aiken. Banshee: A scalable constraint-based analysis toolkit. In Proc. of the 12th International Static Analysis Symposium, pages 218--234, Sept. 2005.
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T. Reps, S. Schwoon, and S. Jha. Weighted pushdown systems and their application to interprocedural dataflow analysis. In Proc. 10th Int. Static Analysis Symp., pages 189--213, 2003.
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Collaborative Colleagues:
John Kodumal: colleagues
Alex Aiken: colleagues