By Bernd Fischer, Jaco Geldenhuys
This publication constitutes the refereed complaints of the twenty first overseas Symposium on version Checking software program, SPIN 2015, held in Stellenbosch, South Africa, in August 2015. The 18 papers provided – 14 commonplace papers and four software or new inspiration papers – have been conscientiously reviewed and chosen from 27 submissions. They hide the sphere among theoretical advances and functional issues and are geared up in topical sections comparable to abstraction, refinement, translation; Büchi automata and hashing; embedded platforms; heuristics and benchmarks; SAT/SMT- established techniques; software program validation and verification.
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Additional info for Model Checking Software: 22nd International Symposium, SPIN 2015, Stellenbosch, South Africa, August 24-26, 2015, Proceedings
Commun. ACM 54(7), 68–76 (2011) 5. : The Slam project: Debugging system software via static analysis. C. ) POPL 2002. pp. 1–3. ACM, New York (2002) 6. : Software veriﬁcation and veriﬁable witnesses. , Tinelli, C. ) TACAS 2015. LNCS, vol. 9035, pp. 401–416. Springer, Heidelberg (2015) 7. : The software model checker Blast. Int. J. Softw. Tools Technol. Transfer 9(5–6), 505–525 (2007) 8. : Program analysis with dynamic precision adjustment. In: ASE 2008, pp. 29–38. IEEE (2008) 9. : CPAchecker: a tool for conﬁgurable software veriﬁcation.
Suppose, for example, an infeasible error path that can only by excluded by tracking that a certain variable is within some interval. 30 D. Beyer, S. L¨ owe, and P. Wendler Reﬁning the value analysis would mean to enumerate all possible values of this variable, whereas the predicate analysis could track this eﬃciently using inequality predicates. The following evaluation provides evidence that inter-analysis reﬁnement selection can be superior to statically preferring the reﬁnement of one analysis, which is an improvement over our previous work .
Abstract graph transformation : theory and practice. D. thesis, University of Twente (2013) Refinement Selection Dirk Beyer, Stefan L¨ owe, and Philipp Wendler University of Passau, Passau, Germany Abstract. Counterexample-guided abstraction reﬁnement (CEGAR) is a property-directed approach for the automatic construction of an abstract model for a given system. The approach learns information from infeasible error paths in order to reﬁne the abstract model. We address the problem of selecting which information to learn from a given infeasible error path.
Model Checking Software: 22nd International Symposium, SPIN 2015, Stellenbosch, South Africa, August 24-26, 2015, Proceedings by Bernd Fischer, Jaco Geldenhuys