By Jasmin Fisher (auth.), Alex Groce, Madanlal Musuvathi (eds.)
This ebook constitutes the refereed court cases of the 18th foreign SPIN workshop on version Checking software program, SPIN 2011, held in Snowbird, UT, united states, in July 2011.
The 10 revised complete papers offered including 2 software demonstration papers and 1 invited contribution have been rigorously reviewed and chosen from 29 submissions. The papers are prepared in topical sections on abstractions and state-space rate reductions; seek techniques; PROMELA encodings and extensions; and functions of version checking.
Read or Download Model Checking Software: 18th International SPIN Workshop, Snowbird, UT, USA, July 14-15, 2011. Proceedings PDF
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Extra info for Model Checking Software: 18th International SPIN Workshop, Snowbird, UT, USA, July 14-15, 2011. Proceedings
9, and storing compr in DB. This calculation in compress only depends on succ and is therefore easy to parallelize. 4 cesses to the storage. 7 4 Global locking or even locking at ﬁner levels of gran3 ularity can be devastating 2 for multi-core performance for 1 single hash table lookups . Informed compression algo0 1 2 4 6 8 10 12 14 16 rithms, however, need multi#Cores ple accesses and thus require Fig. 3. Speedup with Collapse careful attention when parallelized. Fig.
Of the 33rd International Conference on Software Engineering (ICSE) (2011) 20. : Symbolic string verification: An automata-based approach. , Majumdar, R. ) SPIN 2008. LNCS, vol. 5156, pp. 306–324. Springer, Heidelberg (2008) 21. : Relational string verification using multi-track automata. , Salomaa, K. ) CIAA 2010. LNCS, vol. 6482, pp. 290–299. Springer, Heidelberg (2011) 22. : Symbolic string verification: Combining string analysis and size analysis. , Philippou, A. ) TACAS 2009. LNCS, vol. 5505, pp.
The relation and alphabet abstractions can be used only with regular abstraction, or composed together. , |Σ|n , from 2563 symbols to 22 = 4 symbols, and still keep sufficient information to prevent the false alarm. , using the following statement at line 2: $usr = str_replace("<", "", $_GET["usr"]); The expression GET["usr"] returns the string entered by the user, and the str replace call replaces all < with the empty string. In this case, we can adopt a coarser abstraction for our string analysis.