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
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