Download Computer Aided Verification: 28th International Conference, by Swarat Chaudhuri, Azadeh Farzan PDF

By Swarat Chaudhuri, Azadeh Farzan

The two-volume set LNCS 9779 and LNCS 9780 constitutes the refereed lawsuits of the twenty eighth overseas convention on laptop Aided Verification, CAV 2016, held in Toronto, ON, united states, in July 2016.

The overall of forty six complete and 12 brief papers provided within the court cases used to be rigorously reviewed and chosen from 195 submissions. The papers have been geared up in topical sections named: probabilistic structures; synthesis; constraint fixing; version checking; application research; timed and hybrid structures; verification in perform; concurrency; and automata and games.

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Extra info for Computer Aided Verification: 28th International Conference, CAV 2016, Toronto, ON, Canada, July 17-23, 2016, Proceedings, Part II

Sample text

We found case-guided tool development to be highly effective since it focused our efforts on the important properties of each component. With only 1964 lines of code, we built four custom tools for CNTS that check a narrow class of properties each, as specified by our system model. The integration of these tools into SCC was eased by its simple plug-in architecture. To add a new tool, the tool developer simply registers a plugin, consisting of a small Python script that can invoke the tool and interpret its output to determine success or failure.

3 Lessons Learned Developing our safety case for CNTS led to three primary insights. 36 S. Pernsteiner et al. Fig. 6. Total analysis time for the Prx case (left), sizes of the CNTS software components analyzed as part of the case (right, above the line), and sizes of the system model and tools that make up the case (right, below the line). 80 GHz with 16 GB RAM. 1. System Model as Safety Case. Our decision to base the case on a detailed system model rather than a propositional formula (with component properties represented by uninterpreted predicates) enabled us to detect errors in the case with minimal auditing effort.

System Model as Safety Case. Our decision to base the case on a detailed system model rather than a propositional formula (with component properties represented by uninterpreted predicates) enabled us to detect errors in the case with minimal auditing effort. A missing property in an Alloy model results in a concrete counterexample (an execution of the system that violates the safety property), whereas a missing premise in a propositional argument can be detected only through manual auditing. For example, our safety case for Prx initially failed to specify that the ethernet network does not drop any packets.

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