A randomized dynamic program analysis technique for detecting real deadlocks

Author:

Joshi Pallavi1,Park Chang-Seo1,Sen Koushik1,Naik Mayur2

Affiliation:

1. University of California, Berkeley, Berkeley, CA, USA

2. Intel Research, Berkeley, CA, USA

Abstract

We present a novel dynamic analysis technique that finds real deadlocks in multi-threaded programs. Our technique runs in two stages. In the first stage, we use an imprecise dynamic analysis technique to find potential deadlocks in a multi-threaded program by observing an execution of the program. In the second stage, we control a random thread scheduler to create the potential deadlocks with high probability. Unlike other dynamic analysis techniques, our approach has the advantage that it does not give any false warnings. We have implemented the technique in a prototype tool for Java, and have experimented on a number of large multi-threaded Java programs. We report a number of previously known and unknown real deadlocks that were found in these benchmarks.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Reference30 articles.

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3. Ownership types for safe programming

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