Performance Evolution Blueprint: Understanding the Impact of Software Evolution on Performance

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 support 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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Communication dans un congrès
Telea, Alexandru C. VISSOFT - 1st IEEE Working Conference on Software Visualization, Sep 2013, Eindhoven, Netherlands. IEEE, pp.1-9, 2013, 〈10.1109/VISSOFT.2013.6650523〉
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Soumis le : lundi 29 juillet 2013 - 17:02:33
Dernière modification le : jeudi 11 janvier 2018 - 06:22:25
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Juan Pablo Sandoval Alcocer, Alexandre Bergel, Stéphane Ducasse, Marcus Denker. Performance Evolution Blueprint: Understanding the Impact of Software Evolution on Performance. Telea, Alexandru C. VISSOFT - 1st IEEE Working Conference on Software Visualization, Sep 2013, Eindhoven, Netherlands. IEEE, pp.1-9, 2013, 〈10.1109/VISSOFT.2013.6650523〉. 〈hal-00849004〉

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