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Is the glass half empty or half full? conducting empirical studies in industry (invited talk)

Published: 02 June 2014 Publication History

Abstract

Building effective collaborations, scoping a research problem to produce results that will benefit the industry, and lacking access to data are often listed as barriers to conducting academic studies in industry. Despite these challenges, research that uses empirical approaches and that collaborates with industry is increasing; there are even conferences and journals dedicated to the cause. The software engineering research community aims to produce results that are valuable to practice through these endeavors. Yet, one key goal of this research seems to get lost as we try to sort through the challenges that such collaborations impose upon the work plan: Do the results of these studies really help us innovate and produce research outputs that others can use, build on, and replicate? Or are we becoming victims of the available empirical software engineering methods? In this presentation, I will give examples of how the results of empirical studies have helped shape research problems in which industry can more easily take part and even be engaged partners in the work.

Reference

[1]
Perkmann, Markus and Walsh, Kathryn. The two faces of collaboration: Impacts of university-industry relations on public research. Industrial and Corporate Change, 18, 6, (2009), 1033-1065.

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cover image ACM Conferences
CESI 2014: Proceedings of the 2nd International Workshop on Conducting Empirical Studies in Industry
June 2014
44 pages
ISBN:9781450328432
DOI:10.1145/2593690
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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  • TCSE: IEEE Computer Society's Tech. Council on Software Engin.

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Association for Computing Machinery

New York, NY, United States

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Published: 02 June 2014

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  1. Empirical study
  2. empirical research methods

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