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Title Performance Evolution Blueprint: Understanding the Impact of Software Evolution on Performance
Authors Juan Pablo Sandoval Alcocer, Alexandre Bergel, Stephane Ducasse, Marcus Denker
Publication date 2013
Abstract Understanding the root of a performance drop or
improvement
requires analyzing different program executions at a fine grain level. Such
an analysis involves dedicated profiling and representation techniques.
JProfiler and YourKit, two recognized code profilers fail, on both providing
adequate metrics and visual representations, conveying a false sense of the
performance variation root.
We propose performance evolution blueprint, a visual sup- port to precisely
compare multiple software executions. Our blueprint is offered by Rizel, a
code profiler to efficiently explore performance of a set of benchmarks
against multiple software revisions.
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Pages 1-9
Conference name IEEE Working Conference on Software Visualization
Publisher IEEE Computer Society Press (Los Alamitos, CA, USA)
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