Madanlal Musuvathi, Sebastian Burckhardt, Pravesh Kothari, and Santosh Nagarakatte
16 March 2010
This paper presents a randomized scheduler for finding concurrency bugs. Like current stress-testing methods, it repeatedly runs a given test program with supplied inputs. However, it improves on stress-testing by finding buggy schedules more effectively and by quantifying the probability of missing concurrency bugs. Key to its design is the characterization of the depth of a concurrency bug as the minimum number of scheduling constraints required to find it. In a single run of a program with n threads and k steps, our scheduler detects a concurrency bug of depth d with probability at least 1/nkd-1. We hypothesize that in practice, many concurrency bugs (including well-known types such as ordering errors, atomicity violations, and deadlocks) have small bug-depths, and we confirm the efficiency of our schedule randomization by detecting previously unknown and known concurrency bugs in several production-scale concurrent programs.
|Published in||Proceedings of the Fifteenth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2010)|
|Publisher||Association for Computing Machinery, Inc.|
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sebastian burckhardt, Pravesh Kothari, Madanlal Musuvathi, and Santosh Nagarakatte. A Randomized Scheduler with Probabilistic Guarantees of Finding Bugs, January 2010.