DocumentCode
2172293
Title
Dynamic program analysis of Microsoft Windows applications
Author
Skaletsky, Alex ; Devor, Tevi ; Chachmon, Nadav ; Cohn, Robert ; Hazelwood, Kim ; Vladimirov, Vladimir ; Bach, Moshe
fYear
2010
fDate
28-30 March 2010
Firstpage
2
Lastpage
12
Abstract
Software instrumentation is a powerful and flexible technique for analyzing the dynamic behavior of programs. By inserting extra code in an application, it is possible to study the performance and correctness of programs and systems. Pin is a software system that performs run-time binary instrumentation of unmodified applications. Pin provides an API for writing custom instrumentation, enabling its use in a wide variety of performance analysis tasks such as workload characterization, program tracing, cache modeling, and simulation. Most of the prior work on instrumentation systems has focused on executing Unix applications, despite the ubiquity and importance of Windows applications. This paper identifies the Windows-specific obstacles for implementing a process-level instrumentation system, describes a comprehensive, robust solution, and discusses some of the alternatives. The challenges lie in managing the kernel/application transitions, injecting the runtime agent into the process, and isolating the instrumentation from the application. We examine Pin´s overhead on typical Windows applications being instrumented with simple tools up to commercial program analysis products. The biggest factor affecting performance is the type of analysis performed by the tool. While the proprietary nature of Windows makes measurement and analysis difficult, Pin opens the door to understanding program behavior.
Keywords
Unix; application program interfaces; cache storage; program diagnostics; API; Microsoft Windows; Unix; cache modeling; dynamic program analysis; process-level instrumentation system; program tracing; software instrumentation; software system; Analytical models; Application software; Instruments; Kernel; Observability; Open source software; Performance analysis; Robustness; Runtime; Software systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Performance Analysis of Systems & Software (ISPASS), 2010 IEEE International Symposium on
Conference_Location
White Plains, NY
Print_ISBN
978-1-4244-6023-6
Electronic_ISBN
978-1-4244-6024-3
Type
conf
DOI
10.1109/ISPASS.2010.5452079
Filename
5452079
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