Generalizing by similarity: Lessons learnt from industrial case studies

S. Ghaisas, P. Rose, Preethu Rose, Maia Daneva, Nicolaas Sikkel, Roelf J. Wieringa

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    20 Citations (Scopus)
    76 Downloads (Pure)

    Abstract

    Large IT vendors execute thousands of projects in a variety of business domains and environments. Over the years, they end up repeatedly developing and deploying systems for a given domain in the same country, sometimes even for the same company. It would save them a lot of cost and effort if they could reliably depend on their past experience and draw insights from lessons learnt in the past. However, this requires them to generalize from past projects to a similar current project. In this paper we draw lessons learnt from three industrial case studies on how to generalize by similarity.
    Original languageUndefined
    Title of host publicationProceedings of the 1st International Workshop on Conducting Empirical Studies in Industry, CESI 2013
    Place of PublicationUSA
    PublisherIEEE Computer Society
    Pages37-42
    Number of pages6
    ISBN (Print)978-1-4673-6286-3
    DOIs
    Publication statusPublished - May 2013
    Event1st International Workshop on Conducting Empirical Studies in Industry, CESI 2013 - San Francisco, CA, USA
    Duration: 20 May 201320 May 2013

    Publication series

    Name
    PublisherIEEE Computer Society

    Workshop

    Workshop1st International Workshop on Conducting Empirical Studies in Industry, CESI 2013
    Period20/05/1320/05/13
    Other20 May 2013

    Keywords

    • IS-Design science methodology
    • SCS-Services
    • METIS-300059
    • IR-88454
    • EWI-23800

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