Generalizing by similarity: Lessons learnt from industrial case studies

Smita Ghaisas; Preethu Rose; Maia Daneva; Klaas Sikkel; Roel J. Wieringa

doi:10.1109/CESI.2013.6618468

Generalizing by similarity: Lessons learnt from industrial case studies

Smita Ghaisas, Preethu Rose, Maia Daneva, Klaas Sikkel, Roel J. Wieringa

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

25 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 language	English
Title of host publication	Proceedings of the 1st International Workshop on Conducting Empirical Studies in Industry, CESI 2013
Place of Publication	Piscataway, NJ
Publisher	IEEE Computer Society
Pages	37-42
Number of pages	6
ISBN (Print)	978-1-4673-6286-3
DOIs	https://doi.org/10.1109/CESI.2013.6618468
Publication status	Published - May 2013
Event	1st International Workshop on Conducting Empirical Studies in Industry, CESI 2013 - San Francisco, United States Duration: 20 May 2013 → 20 May 2013

Workshop

Workshop	1st International Workshop on Conducting Empirical Studies in Industry, CESI 2013
Country/Territory	United States
City	San Francisco
Period	20/05/13 → 20/05/13

Keywords

IS-Design science methodology
SCS-Services

Access to Document

10.1109/CESI.2013.6618468

Cite this

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title = "Generalizing by similarity: Lessons learnt from industrial case studies",

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.",

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author = "Smita Ghaisas and Preethu Rose and Maia Daneva and Klaas Sikkel and Wieringa, {Roel J.}",

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language = "English",

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booktitle = "Proceedings of the 1st International Workshop on Conducting Empirical Studies in Industry, CESI 2013",

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Ghaisas, S, Rose, P, Daneva, M, Sikkel, K & Wieringa, RJ 2013, Generalizing by similarity: Lessons learnt from industrial case studies. in Proceedings of the 1st International Workshop on Conducting Empirical Studies in Industry, CESI 2013. IEEE Computer Society, Piscataway, NJ, pp. 37-42, 1st International Workshop on Conducting Empirical Studies in Industry, CESI 2013, San Francisco, California, United States, 20/05/13. https://doi.org/10.1109/CESI.2013.6618468

Generalizing by similarity : Lessons learnt from industrial case studies. / Ghaisas, Smita; Rose, Preethu; Daneva, Maia et al.

Proceedings of the 1st International Workshop on Conducting Empirical Studies in Industry, CESI 2013. Piscataway, NJ : IEEE Computer Society, 2013. p. 37-42.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T2 - 1st International Workshop on Conducting Empirical Studies in Industry, CESI 2013

AU - Ghaisas, Smita

AU - Rose, Preethu

AU - Daneva, Maia

AU - Sikkel, Klaas

AU - Wieringa, Roel J.

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AB - 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.

KW - IS-Design science methodology

KW - SCS-Services

U2 - 10.1109/CESI.2013.6618468

DO - 10.1109/CESI.2013.6618468

M3 - Conference contribution

SN - 978-1-4673-6286-3

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BT - Proceedings of the 1st International Workshop on Conducting Empirical Studies in Industry, CESI 2013

PB - IEEE Computer Society

CY - Piscataway, NJ

Y2 - 20 May 2013 through 20 May 2013

ER -

Generalizing by similarity: Lessons learnt from industrial case studies

Abstract

Workshop

Keywords

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