PAVO: A Framework for the Visualization of Performance Analyses Results

نویسندگان

  • Jürgen Walter
  • Mayimilian König
  • Simon Eismann
  • Samuel Kounev
چکیده

Awareness of application performance can be derived through various quantitative analyses, model-based and measurement-based approaches. A suitable visualization supports the understanding of application performance. Usually, analysis tools include a tool specific visualization or no visualization at all. In this paper we proposed to decouple the result visualization from the analysis approach. We present the Performance VisualizatiOn (PAVO) framework which provides result visualization tailored to a given performance analysis result. To show benefits and usability of PAVO, we present our integration in Descartes Query Language (DQL).

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عنوان ژورنال:
  • Softwaretechnik-Trends

دوره 36  شماره 

صفحات  -

تاریخ انتشار 2016