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A Benchmark-Based Approach for Ranking Root Causes of Performance Problems in Software Development

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Product-Focused Software Process Improvement (PROFES 2014)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8892))

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Abstract

In previous work we proposed a performance analysis model for automatically identifying potential root causes of performance problems in personal software development. In this paper we present an approach for automatically ranking those potential root causes based on a cost-benefit estimate that takes into account historical data. The approach was applied for the Personal Software Process, taking advantage of a large data set referring to more than 30,000 projects, but can be replicated in other contexts.

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Author information

Authors and Affiliations

  1. INESC TEC and Department of Informatics Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, s/n 4200-465, Porto, Portugal

    Mushtaq Raza & João Pascoal Faria

Authors
  1. Mushtaq Raza
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  2. João Pascoal Faria
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Editor information

Editors and Affiliations

  1. Fraunhofer IESE, Fraunhofer-Platz 1, 67663, Kaiserslautern, Germany

    Andreas Jedlitschka

  2. Department of Information Processing Science, University of Oulu, FI-90014, Finland

    Pasi Kuvaja

  3. The Maersk Mc-Kinney Moeller Institute, University of Southern Denmark, Campusvej 55, 5230, Odense, Denmark

    Marco Kuhrmann

  4. Department of Computer Science, University of Helsinki, 00014, Helsinki, Finland

    Tomi Männistö  & Jürgen Münch  & 

  5. Department of Computer Science and Engineering, Aalto University, 00076, Aalto, Finland

    Mikko Raatikainen

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© 2014 Springer International Publishing Switzerland

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Raza, M., Faria, J.P. (2014). A Benchmark-Based Approach for Ranking Root Causes of Performance Problems in Software Development. In: Jedlitschka, A., Kuvaja, P., Kuhrmann, M., Männistö, T., Münch, J., Raatikainen, M. (eds) Product-Focused Software Process Improvement. PROFES 2014. Lecture Notes in Computer Science, vol 8892. Springer, Cham. https://doi.org/10.1007/978-3-319-13835-0_30

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  • DOI: https://doi.org/10.1007/978-3-319-13835-0_30

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13834-3

  • Online ISBN: 978-3-319-13835-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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