Static Detection of Atomic-Set-Serializability Violations
Nicholas Kidd, Thomas Reps, Julian Dolby, and Mandana Vaziri
Vaziri et al. propose a data-centric approach to synchronization. The key underlying concept of their work is the atomic set, which specifies the existence of an invariant that holds on a set of fields of an object type. In addition, they formalize a set of eleven data-access scenarios that completely specify the set of non-serializable interleaving patterns that can lead to an atomic-set serializability violation of the expressed invariant.
We present an algorithm that uses state-space exploration techniques to statically detect atomic-set serializability violations. The key idea is that the data-access scenarios can be used as a property specification for a software model checker. We tested our technique on programs with known serialiability violations from the concurrency-testing benchmark created by Eytani et al. Of the ten programs analyzed, our tool reported eight atomic-set serializability violations, with seven of them being true bugs.
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