By Eric Goubault (auth.), Francesco Logozzo, Manuel Fähndrich (eds.)
This publication constitutes the completely refereed complaints of the twentieth foreign Symposium on Static research, SAS 2013, held in Seattle, WA, united states, in June 2013. The 23 revised complete papers awarded including 2 invited talks have been chosen from fifty six submissions. The papers deal with all elements of static research, together with summary domain names, summary interpretation, summary trying out, trojan horse detection, facts move research, version checking, new functions, software transformation, software verification, defense research, theoretical frameworks, and sort checking.
Read Online or Download Static Analysis: 20th International Symposium, SAS 2013, Seattle, WA, USA, June 20-22, 2013. Proceedings PDF
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Additional info for Static Analysis: 20th International Symposium, SAS 2013, Seattle, WA, USA, June 20-22, 2013. Proceedings
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Gange et al. 4. : A parametric segmentation functor for fully automatic and scalable array content analysis. In: Proceedings of the 38th Annual Symposium on Principles of Programming Languages, pp. 105–118. ACM (2011) 5. : Introduction to Lattices and Order. Cambridge University (1990) 6. : Donut domains: Efficient non-convex domains for abstract interpretation. , Rybalchenko, A. ) VMCAI 2012. LNCS, vol. 7148, pp. 235–250. Springer, Heidelberg (2012) 7. : A framework for numeric analysis of array operations.
7460, pp. 198–213. Springer, Heidelberg (2012) 21. : PAGAI: A path sensitive static analyser. Electronic Notes in Theoretical Computer Science 289, 15–25 (2012) 22. : Interproc Analyzer for Recursive Programs with Numerical Variables. cgi (accessed: April 3, 2013) 23. : APRON: A library of numerical abstract domains for static analysis. , Maler, O. ) CAV 2009. LNCS, vol. 5643, pp. 661–667. Springer, Heidelberg (2009) 24. : Using bounded model checking to focus fixpoint iterations. In: Yahav, E. ) SAS 2012.
Also, its implementation is more difficult, and that is why we have not performed a similar comparison in Pagai as for localized widening. 5 Conclusions We have shown two strategies for improving precision of abstract interpretation. Localized widening is simple, effective and has negligible computational cost. Therefore, can be easily implemented in already existent abstract analyzers. Localized narrowing is more complex, potentially slower but generally more precise Localizing Widening and Narrowing 41 than localized widening.
