Evaluating the accuracy of Java profilers

doi:10.1145/1809028.1806618

Evaluating the accuracy of Java profilers

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Authors:	Todd Mytkowicz	University of Colorado, Boulder, CO, USA
	Amer Diwan	University of Colorado, Boulder, CO, USA
	Matthias Hauswirth	University of Lugano, Lugano, Switzerland
	Peter F. Sweeney	IBM Research, Hawthorne, NY, USA

	2010 Article
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· Citation Count: 29 · Downloads (cumulative): 846 · Downloads (12 Months): 103 · Downloads (6 Weeks): 8

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	· Proceeding
	PLDI '10 Proceedings of the 31st ACM SIGPLAN Conference on Programming Language Design and Implementation
	Pages 187-197 Toronto, Ontario, Canada — June 05 - 10, 2010 ACM New York, NY, USA ©2010 table of contents ISBN: 978-1-4503-0019-3 doi>10.1145/1806596.1806618
	· Newsletter
	ACM SIGPLAN Notices - PLDI '10
	Volume 45 Issue 6, June 2010 Pages 187-197 ACM New York, NY, USA table of contents doi>10.1145/1809028.1806618

Recent authors with related interests Concepts in this article

Concepts inEvaluating the accuracy of Java profilers

Profiling (computer programming): In software engineering, profiling ("program profiling", "software profiling") is a form of dynamic program analysis that measures, for example, the usage of memory, the usage of particular instructions, or frequency and duration of function calls. The most common use of profiling information is to aid program optimization. Profiling is achieved by instrumenting either the program source code or its binary executable form using a tool called a profiler (or code profiler). more from Wikipedia
Java (programming language): Java is a programming language originally developed by James Gosling at Sun Microsystems (which has since merged into Oracle Corporation) and released in 1995 as a core component of Sun Microsystems' Java platform. The language derives much of its syntax from C and C++ but has a simpler object model and fewer low-level facilities. Java applications are typically compiled to bytecode that can run on any Java Virtual Machine (JVM) regardless of computer architecture. more from Wikipedia
Sampling (statistics): In statistics and survey methodology, sampling is concerned with the selection of a subset of individuals from within a population to estimate characteristics of the whole population. Researchers rarely survey the entire population because the cost of a census is too high. The three main advantages of sampling are that the cost is lower, data collection is faster, and since the data set is smaller it is possible to ensure homogeneity and to improve the accuracy and quality of the data. more from Wikipedia
Causality: Causality (also referred to as causation) is the relationship between an event (the cause) and a second event, where the second event is understood as a consequence of the first. In common usage, causality is also the relationship between a set of factors (causes) and a phenomenon. Anything that affects an effect is a factor of that effect. A direct factor is a factor that affects an effect directly, that is, without any intervening factors. more from Wikipedia

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