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International Conference on Software Process

ICSP 2009: Trustworthy Software Development Processes pp 11–23Cite as

Statistically Based Process Monitoring: Lessons from the Trench

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5543))

Abstract

Monitoring software processes is a non trivial task. Recently many authors have suggested the use of Statistical Process Control (SPC) for monitoring software processes, while others have pointed out its potential pitfalls. Indeed, the main problem is that SPC is often used “as is” without the appropriate customizations or extensions needed for making it applicable to software contexts. This work points out and discusses four main issues related to software process monitoring and highlights how SPC can be used as solution to address each problem. The solutions arise from experience collected by the authors during empirical investigations in industrial contexts. As so, this work is intended as a first step in clarifying how SPC can contribute to practically solve some monitoring issues and guide practitioners towards a more disciplined and correct use of the approach in controlling software processes.

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Author information

Authors and Affiliations

  1. Department of Informatics, University of Bari – SER&Practices SPIN OFF, Via E. Orabona 4, 70126, Bari, Italy

    Maria Teresa Baldassarre, Nicola Boffoli, Giovanni Bruno & Danilo Caivano

Authors
  1. Maria Teresa Baldassarre
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  2. Nicola Boffoli
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  3. Giovanni Bruno
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  4. Danilo Caivano
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Editor information

Editors and Affiliations

  1. Institute of Software, Chinese Academy of Sciences, No.4 South Fourth Street, Zhong Guan Cun, 100190, Beijing, China

    Qing Wang

  2. Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, 2500 University Drive N.W., Calgary, AB T2N 1N4, Canada

    Vahid Garousi

  3. Department of Systems Engineering, Naval Postgraduate School, Bullard Hall, Room 201J, 777 Dyer Road, CA 93943, Monterey, USA

    Raymond Madachy

  4. Simula Research Laboratory, P.O.Box 134, 1325, Lysaker, Norway

    Dietmar Pfahl

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© 2009 Springer-Verlag Berlin Heidelberg

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Baldassarre, M.T., Boffoli, N., Bruno, G., Caivano, D. (2009). Statistically Based Process Monitoring: Lessons from the Trench. In: Wang, Q., Garousi, V., Madachy, R., Pfahl, D. (eds) Trustworthy Software Development Processes. ICSP 2009. Lecture Notes in Computer Science, vol 5543. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01680-6_4

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  • DOI: https://doi.org/10.1007/978-3-642-01680-6_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01679-0

  • Online ISBN: 978-3-642-01680-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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