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
Link To Document :
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