DocumentCode
555291
Title
Configuring global software teams: a multi-company analysis of project productivity, quality, and profits
Author
Ramasubbu, Narayan ; Cataldo, Marcelo ; Balan, Rajesh Krishna ; Herbsleb, James D.
Author_Institution
Singapore Manage. Univ., Singapore, Singapore
fYear
2011
fDate
21-28 May 2011
Firstpage
261
Lastpage
270
Abstract
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.
Keywords
DP management; distributed processing; programming languages; software engineering; application domain; development sites; global distributed software development; global distributed software teams; multicompany analysis; process choices; programming languages; project productivity; project profits; project quality; project-level configurational choices; Biological system modeling; Companies; Dispersion; Personnel; Productivity; Programming; Software; empirical analysis; globally distributed software development; quality management; software engineering economics;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering (ICSE), 2011 33rd International Conference on
Conference_Location
Honolulu, HI
ISSN
0270-5257
Print_ISBN
978-1-4503-0445-0
Electronic_ISBN
0270-5257
Type
conf
DOI
10.1145/1985793.1985830
Filename
6032465
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