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Performance Antipatterns: State-of-Art and Future Perspectives

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Computer Performance Engineering (EPEW 2013)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8168))

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Abstract

The problem of capturing performance problems is critical in the software design, mostly because the results of performance analysis (i.e. mean values, variances, and probability distributions) are difficult to be interpreted for providing feedback to software designers. Support to the interpretation of performance analysis results that helps to fill the gap between numbers and design alternatives is still lacking. The aim of this talk is to present the work that has been done in the last few years on filling such gap. The work is centered on software performance antipatterns, that are recurring solutions to common mistakes (i.e. bad practices) affecting performance. Such antipatterns can play a key role in the software performance domain, since they can be used in the investigation of performance problems as well as in the formulation of solutions in terms of design alternatives.

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Author information

Authors and Affiliations

  1. DISIM, University of L’Aquila, Italy

    Vittorio Cortellessa

Authors
  1. Vittorio Cortellessa
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Editors and Affiliations

  1. Dipartimento di Scienze Ambientali, Informatica e Statistica, Università Ca’ Foscari di Venezia, via Torino 155, 30170, Venezia, Italy

    Maria Simonetta Balsamo  & Andrea Marin  & 

  2. Department of Computing, Imperial College London, South Kensington Campus, SW7 2AZ, London, UK

    William J. Knottenbelt

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Cortellessa, V. (2013). Performance Antipatterns: State-of-Art and Future Perspectives. In: Balsamo, M.S., Knottenbelt, W.J., Marin, A. (eds) Computer Performance Engineering. EPEW 2013. Lecture Notes in Computer Science, vol 8168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40725-3_1

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  • DOI: https://doi.org/10.1007/978-3-642-40725-3_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40724-6

  • Online ISBN: 978-3-642-40725-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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