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Effective Detection of Atomic-Set Serializability Violations in Multithreaded Programs
PhD Thesis Proposal Defence Title: "Effective Detection of Atomic-Set Serializability Violations in Multithreaded Programs" by Mr. Zhifeng Lai Abstract: Today's concurrent programs are riddled with bugs that can cause multiple threads to access shared data and interleave in ways that do not correspond to any sequential executions. These concurrency bugs give rise to the problem of data-consistency errors, which can lead to drastic consequences (e.g., the Northeast Blackout of 2003). However, detecting concurrency bugs is difficult because these bugs are manifested only under very specific thread interleavings but the number of possible interleavings for a multithreaded program is often myriad. This proposal presents program analysis techniques to automatically verify that a multithreaded program correctly uses synchronization primitives to guarantee atomic-set serializability, a data-consistency criterion recently proposed for better detection of concurrency bugs. Atomic-set serializability characterizes a wide range of concurrency bugs. In addition, previous experiences using this criterion show that it is less likely to have benign violations than the other criteria. This proposal addresses the following two problems on detecting atomic-set serializability violations: inadequate interleaving coverage and inadequate input coverage. First, dynamic approaches are widely used to detect errors (e.g., malign data race) caused by concurrency bugs. Existing dynamic approaches for detecting such violations are based on runtime monitoring. Their effectiveness is restricted by the inadequate coverage of interleavings. To address this problem, this proposal presents a dynamic testing technique that uses information from profiled runs to control a thread scheduler to focus on interleavings that have high potential for exhibiting such violations. Second, for a given set of tests, our testing technique partially alleviates the problem of inadequate coverage of thread interleaving. However, the input coverage of our testing technique is restricted to that of the given tests. To address this problem, this proposal presents a static checking technique to automatically detect atomic-set serializability violations. Existing static approaches for detecting such violations use path-sensitive analyses, which are usually not scalable for large programs. To address the scalability issue, this proposal presents a series of flow-insensitive analyses to detect such violations. Date: Thursday, 15 April 2010 Time: 10:00am - 12:00noon Venue: Room 3401 lifts 17/18 Committee Members: Dr. Shing-Chi Cheung (Supervisor) Dr. Charles Zhang (Chairperson) Dr. Jogesh Muppala Dr. Sunghun Kim **** ALL are Welcome ****