Dynamic Analysis and Profiling of Multithreaded Systems

Dynamic Analysis and Profiling of Multithreaded Systems

Daniel G. Waddington (Lockheed Martin, USA), Nilabja Roy (Vanderbilt University, USA) and Douglas C. Schmidt (Vanderbilt University, USA)
DOI: 10.4018/978-1-60566-850-5.ch009
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As software-intensive systems become larger, more parallel, and more unpredictable the ability to analyze their behavior is increasingly important. There are two basic approaches to behavioral analysis: static and dynamic. Although static analysis techniques, such as model checking, provide valuable information to software developers and testers, they cannot capture and predict a complete, precise, image of behavior for large-scale systems due to scalability limitations and the inability to model complex external stimuli. This chapter explores four approaches to analyzing the behavior of software systems via dynamic analysis: compiler-based instrumentation, operating system and middleware profiling, virtual machine profiling, and hardware-based profiling. We highlight the advantages and disadvantages of each approach with respect to measuring the performance of multithreaded systems and demonstrate how these approaches can be applied in practice.

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