Configuring global software teams: A multi-company analysis of productivity, quality, and profits
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, applica...
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sg-smu-ink.sis_research-23492018-12-19T09:17:29Z Configuring global software teams: A multi-company analysis of productivity, quality, and profits RAMASUBBU, Narayanasamy CATALDO, Marcelo BALAN, Rajesh Krishna HERBSLEB, James 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 profitoriented 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. 2011-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/1350 info:doi/10.1145/1985793.1985830 https://ink.library.smu.edu.sg/context/sis_research/article/2349/viewcontent/ConfigGlobalSoftwareTeams_2011.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University empirical analysis globally distributed software development quality management software engineering economics Software Engineering |
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empirical analysis globally distributed software development quality management software engineering economics Software Engineering RAMASUBBU, Narayanasamy CATALDO, Marcelo BALAN, Rajesh Krishna HERBSLEB, James Configuring global software teams: A multi-company analysis of productivity, quality, and profits |
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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 profitoriented 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. |
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RAMASUBBU, Narayanasamy CATALDO, Marcelo BALAN, Rajesh Krishna HERBSLEB, James |
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RAMASUBBU, Narayanasamy CATALDO, Marcelo BALAN, Rajesh Krishna HERBSLEB, James |
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RAMASUBBU, Narayanasamy |
title |
Configuring global software teams: A multi-company analysis of productivity, quality, and profits |
title_short |
Configuring global software teams: A multi-company analysis of productivity, quality, and profits |
title_full |
Configuring global software teams: A multi-company analysis of productivity, quality, and profits |
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Configuring global software teams: A multi-company analysis of productivity, quality, and profits |
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Configuring global software teams: A multi-company analysis of productivity, quality, and profits |
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configuring global software teams: a multi-company analysis of productivity, quality, and profits |
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Institutional Knowledge at Singapore Management University |
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2011 |
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https://ink.library.smu.edu.sg/sis_research/1350 https://ink.library.smu.edu.sg/context/sis_research/article/2349/viewcontent/ConfigGlobalSoftwareTeams_2011.pdf |
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