Configuring global software teams: A multi-company analysis of project productivity, quality, and profits
Proceedings - International Conference on Software Engineering, ISSN: 0270-5257, Page: 261-270
2011
- 68Citations
- 634Usage
- 167Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations68
- Citation Indexes68
- 68
- CrossRef67
- Usage634
- Downloads497
- Abstract Views137
- Captures167
- Readers167
- 148
- 19
Conference Paper Description
In this paper, we examined the impact of project-level configurational choices of globally distributed software teams on project productivity, quality, and profits. Our analysis used data from 362 projects of four different firms. These projects spanned a wide range of programming languages, application domain, process choices, and development sites spread over 15 countries and 5 continents. Our analysis revealed fundamental tradeoffs in choosing configurational choices that are optimized for productivity, quality, and/or profits. In particular, achieving higher levels of productivity and quality require diametrically opposed configurational choices. In addition, creating imbalances in the expertise and personnel distribution of project teams significantly helps increase profit margins. However, a profit-oriented imbalance could also significantly affect productivity and/or quality outcomes. Analyzing these complex tradeoffs, we provide actionable managerial insights that can help software firms and their clients choose configurations that achieve desired project outcomes in globally distributed software development. © 2011 ACM.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=79959893269&origin=inward; http://dx.doi.org/10.1145/1985793.1985830; https://dl.acm.org/doi/10.1145/1985793.1985830; https://ink.library.smu.edu.sg/sis_research/1350; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=2349&context=sis_research
Association for Computing Machinery (ACM)
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