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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Automatically Repairing Concurrency Bugs with ARC
verfasst von : David Kelk, Kevin Jalbert, Jeremy S. Bradbury
Erschienen in: Multicore Software Engineering, Performance, and Tools
Verlag: Springer Berlin Heidelberg
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In this paper we introduce ARC – a fully automated system for repairing deadlocks and data races in concurrent Java programs. ARC consists of two phases: (1) a bug repair phase and (2) an optimization phase. In the first phase, ARC uses a genetic algorithm without crossover to mutate an incorrect program, searching for a variant of the original program that fixes the deadlocks and data races. As this first phase may introduce unneeded synchronization that can negatively affect performance, a second phase attempts to optimize the concurrent source code by removing any excess synchronization without sacrificing program correctness. We describe both phases of our approach and report on our results.