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Characterizing Software Developers by Perceptions of Productivity


Meyer, André; Zimmermann, Thomas; Fritz, Thomas (2017). Characterizing Software Developers by Perceptions of Productivity. In: International Symposium on Empirical Software Engineering and Measurement, Toronto, 9 November 2017 - 10 November 2017.

Abstract

Understanding developer productivity is important to deliver software on time and at reasonable cost. Yet, there are numerous definitions of productivity and, as previous research found, productivity means different things to different developers. In this paper, we analyze the variation in productivity perceptions based on an online survey with 413 professional software developers at Microsoft. Through a cluster analysis, we identify and describe six groups of developers with similar perceptions of productivity: social, lone, focused, balanced, leading, and goal-oriented developers. We argue why personalized recommendations for improving software developers’ work is important and discuss design implications of these clusters for tools to support developers’ productivity.

Abstract

Understanding developer productivity is important to deliver software on time and at reasonable cost. Yet, there are numerous definitions of productivity and, as previous research found, productivity means different things to different developers. In this paper, we analyze the variation in productivity perceptions based on an online survey with 413 professional software developers at Microsoft. Through a cluster analysis, we identify and describe six groups of developers with similar perceptions of productivity: social, lone, focused, balanced, leading, and goal-oriented developers. We argue why personalized recommendations for improving software developers’ work is important and discuss design implications of these clusters for tools to support developers’ productivity.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:10 November 2017
Deposited On:14 Nov 2017 13:25
Last Modified:19 Feb 2018 09:13
OA Status:Green
Other Identification Number:merlin-id:15396

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