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Globally distributed software development project performance: an empirical analysis

Published: 19 February 2008 Publication History

Abstract

Software firms are increasingly distributing their software development effort across multiple locations. In this paper we present the results of a two year field study that investigated the effects of dispersion on the productivity and quality of distributed software development. We first develop a model of distributed software development. We then use the model, along with our empirically observed data, to understand the consequences of dispersion on software project performance. Our analysis reveals that, even in high process maturity environments, a) dispersion significantly reduces development productivity and has effects on conformance quality, and b) these negative effects of dispersion can be significantly mitigated through deployment of structured software engineering processes

Cited By

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  • (2023)Distributed Scrum: A Case Meta-analysisACM Computing Surveys10.1145/362651956:4(1-37)Online publication date: 10-Nov-2023
  • (2020)Towards an evidence-based theoretical framework on factors influencing the software development productivityEmpirical Software Engineering10.1007/s10664-020-09844-5Online publication date: 18-Aug-2020

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cover image ACM Conferences
ISEC '08: Proceedings of the 1st India software engineering conference
February 2008
164 pages
ISBN:9781595939173
DOI:10.1145/1342211
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 February 2008

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Author Tags

  1. empirical analysis
  2. globally distributed software development
  3. quality management
  4. software engineering economics

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ISEC08
Sponsor:
ISEC08: India Software Engineering Conference
February 19 - 22, 2008
Hyderabad, India

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Overall Acceptance Rate 76 of 315 submissions, 24%

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Cited By

View all
  • (2023)Distributed Scrum: A Case Meta-analysisACM Computing Surveys10.1145/362651956:4(1-37)Online publication date: 10-Nov-2023
  • (2020)Towards an evidence-based theoretical framework on factors influencing the software development productivityEmpirical Software Engineering10.1007/s10664-020-09844-5Online publication date: 18-Aug-2020

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