• DocumentCode
    639094
  • Title

    Generalizing by similarity: Lessons learnt from industrial case studies

  • Author

    Ghaisas, Smita ; Rose, Patrick ; Daneva, Maya ; Sikkel, Klaas ; Wieringa, Roel J.

  • Author_Institution
    Tata Res. Dev. & Design Center, Pune, India
  • fYear
    2013
  • fDate
    20-20 May 2013
  • Firstpage
    37
  • Lastpage
    42
  • 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.
  • Keywords
    business data processing; IT vendors; business domains; business environments; industrial case studies; Cognition; Companies; Computer architecture; Context; Software; Generalizability; Industrial case studies; Project Managers; Projects; Researchers; Similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Conducting Empirical Studies in Industry (CESI), 2013 1st International Workshop on
  • Conference_Location
    San Francisco, CA
  • Type

    conf

  • DOI
    10.1109/CESI.2013.6618468
  • Filename
    6618468