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An Ontology-Driven Approach to Metadata Design in the Mining of Software Process Events

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3215))

Abstract

In this paper we report about an ongoing experience of metadata design in the context of the quantitative modeling of the software development process. We use an ontology driven metadata design prescription, where the metadata structure is determined by two strictly interleaved ontologies: a software development process ontology and a knowledge discovery process ontology.

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Author information

Authors and Affiliations

  1. Department of Information Technologies, University of Milan, via Bramante 65, Crema (CR), 26013, Italy

    Gabriele Gianini & Ernesto Damiani

Authors
  1. Gabriele Gianini
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  2. Ernesto Damiani
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Gianini, G., Damiani, E. (2004). An Ontology-Driven Approach to Metadata Design in the Mining of Software Process Events. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30134-9_43

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  • DOI: https://doi.org/10.1007/978-3-540-30134-9_43

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23205-6

  • Online ISBN: 978-3-540-30134-9

  • eBook Packages: Springer Book Archive

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