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Integration of Runtime Profiling and Static Code Analysis in Linux

Overview This paper describes a method for profiling large systems software on a Linux platform. Based on runtime profiling results, the bottleneck source code gets analyzed statically, thus identifying the poor algorithms that caused the low performance. Employing of various tools used to profile the case study application leads to the conclusion of increasing importance for integrating code analysis with runtime collected data. The current status of existing tools on Linux platforms that support the methodology described is being summarized.

Further White Paper Details
Publisher	University of British Columbia	File Format	PDF
Date Published	December 2006
Format	White Papers
Topics	Programming Languages, Linux - Open Source, Linux Server OS

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