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Advanced services for process evolution: Monitoring and decision support

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Book cover Software Process Technology (EWSPT 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1780))

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Abstract

Process support environments (PSEs) are widely used for modelling, enacting and analyzing human intensive processes. The benefits of a PSE become apparent when processes to be supported are long lived and distributed and contain heterogeneous components. Generally, such processes are subject to dynamic evolution, i.e. they have to be changed during their execution. Unfortunately, virtually none of the existing PSEs consider dynamic evolution of processes. This article explains the concepts and techniques underlying a set of components developed in the ESPRIT Project Process Instance Evolution (PIE) that support the dynamic evolution of processes. These concepts and techniques are demonstrated using a real-world scenario from the automotive industry.

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Authors and Affiliations

  1. ESIA LLP, University of Savoie at Annecy, 41 avenue de la Plaine, B.P. 806, 74016, Annecy Cedex, France

    Ilham Alloui, Sorana Cîmpan & Flavio Oquendo

  2. Computer Science Department, Software Technology, University of Dortmund, 44221, Dortmund, Germany

    Sami Beydeda, Volker Gruhn & Christian Schneider

Authors
  1. Ilham Alloui
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  2. Sami Beydeda
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  3. Sorana Cîmpan
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  4. Volker Gruhn
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  5. Flavio Oquendo
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  6. Christian Schneider
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Editor information

Reidar Conradi

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© 2000 Springer-Verlag

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Alloui, I., Beydeda, S., Cîmpan, S., Gruhn, V., Oquendo, F., Schneider, C. (2000). Advanced services for process evolution: Monitoring and decision support. In: Conradi, R. (eds) Software Process Technology. EWSPT 2000. Lecture Notes in Computer Science, vol 1780. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0095011

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  • DOI: https://doi.org/10.1007/BFb0095011

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67140-4

  • Online ISBN: 978-3-540-46543-0

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