By Thomas Ball, Nikolaj Bjørner, Leonardo de Moura, Kenneth L. McMillan, Margus Veanes (auth.), Alastair Donaldson, David Parker (eds.)
This ebook constitutes the completely refereed lawsuits of the nineteenth overseas SPIN workshop on version Checking software program, SPIN 2012, held in Oxford, united kingdom, in July 2012. The eleven revised complete papers provided including five instrument papers and four invited talks have been conscientiously reviewed and chosen from 30 submissions. The papers are grouped in topical sections on version checking options; parallel version checking; case experiences; version checking for concurrency; and gear demonstrations.
Read or Download Model Checking Software: 19th International Workshop, SPIN 2012, Oxford, UK, July 23-24, 2012. Proceedings PDF
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Additional resources for Model Checking Software: 19th International Workshop, SPIN 2012, Oxford, UK, July 23-24, 2012. Proceedings
In this paper, we propose an automated method for explaining counterexamples that are symptoms of the occurrence of deadlocks in concurrent systems. Our method is based on an analysis of a set of counterexamples that can be generated by a model checking tool such as SPIN. By comparing the set of counterexamples with the set of correct traces that never deadlock, a number of sequences of actions are extracted that aid the model designer in locating the cause of the occurrence of a deadlock. We ﬁrst argue that the obvious approach to extract such sequences which is by sequential pattern mining and by contrasting patterns that are typical for the deadlocking counterexample traces but not typical for non-deadlocking traces, fails due to the inherent complexity of the problem.
These program statements are reported to the user as the suspicious parts of the program code that are likely to be the cause of the violation of the property. In this method, if a counterexample violates a property at some control location c of the program code, then the execution traces that reach to c without violating the property are considered as similar correct traces. The method has been implemented in the context of the SLAM project in which a software model checker that automatically veriﬁes temporal safety properties of C programs has been developed .
The work by Ball et al.  compares a counterexample with a set of similar correct traces in order to extract single program statements that are only executed in the counterexample. These program statements are reported to the user as the suspicious parts of the program code that are likely to be the cause of the violation of the property. In this method, if a counterexample violates a property at some control location c of the program code, then the execution traces that reach to c without violating the property are considered as similar correct traces.