How does developer interaction relate to software quality? an examination of product development data

Industrial software systems are being increasingly developed by large and distributed teams. Tools like collaborative development environments (CDE) are used to facilitate interaction between members of such teams, with the expectation that social factors around the interaction would facilitate team...

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Main Author: DATTA, Subhajit
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Language:English
Published: Institutional Knowledge at Singapore Management University 2018
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Online Access:https://ink.library.smu.edu.sg/sis_research/5579
https://ink.library.smu.edu.sg/context/sis_research/article/6582/viewcontent/HowDoesDeveloperInteraction_2018_av.pdf
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spelling sg-smu-ink.sis_research-65822021-01-07T14:06:29Z How does developer interaction relate to software quality? an examination of product development data DATTA, Subhajit Industrial software systems are being increasingly developed by large and distributed teams. Tools like collaborative development environments (CDE) are used to facilitate interaction between members of such teams, with the expectation that social factors around the interaction would facilitate team functioning. In this paper, we first identify typically social characteristics of interaction in a software development team: reachability, connection, association, and clustering. We then examine how these factors relate to the quality of software produced by a team, in terms of the number of defects, through an empirical study of 70+ teams, involving 900+ developers in total, spread across 30+ locations and 19 time-zones, working on 40,000+ units of work in the multi-version development of a major industrial product, spreading across more than five years. After controlling for known factors affecting large scale distributed development such as dependency, system age, developer expertise and experience, geographic dispersion, socio-technical congruence, and the number of files changed, we find statistically significant effects of connection and clustering on software quality. Higher levels of intra-team connection are found to relate to higher defect count, whereas more clustering relates to fewer defects. We examine the implications of these results for individual developers, project managers, and organizations. 2018-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/5579 info:doi/10.1007/s10664-017-9534-0 https://ink.library.smu.edu.sg/context/sis_research/article/6582/viewcontent/HowDoesDeveloperInteraction_2018_av.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 Clustering Connection Defect count Interaction Jazz Software quality Software teams Databases and Information Systems Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Clustering
Connection
Defect count
Interaction
Jazz
Software quality
Software teams
Databases and Information Systems
Software Engineering
spellingShingle Clustering
Connection
Defect count
Interaction
Jazz
Software quality
Software teams
Databases and Information Systems
Software Engineering
DATTA, Subhajit
How does developer interaction relate to software quality? an examination of product development data
description Industrial software systems are being increasingly developed by large and distributed teams. Tools like collaborative development environments (CDE) are used to facilitate interaction between members of such teams, with the expectation that social factors around the interaction would facilitate team functioning. In this paper, we first identify typically social characteristics of interaction in a software development team: reachability, connection, association, and clustering. We then examine how these factors relate to the quality of software produced by a team, in terms of the number of defects, through an empirical study of 70+ teams, involving 900+ developers in total, spread across 30+ locations and 19 time-zones, working on 40,000+ units of work in the multi-version development of a major industrial product, spreading across more than five years. After controlling for known factors affecting large scale distributed development such as dependency, system age, developer expertise and experience, geographic dispersion, socio-technical congruence, and the number of files changed, we find statistically significant effects of connection and clustering on software quality. Higher levels of intra-team connection are found to relate to higher defect count, whereas more clustering relates to fewer defects. We examine the implications of these results for individual developers, project managers, and organizations.
format text
author DATTA, Subhajit
author_facet DATTA, Subhajit
author_sort DATTA, Subhajit
title How does developer interaction relate to software quality? an examination of product development data
title_short How does developer interaction relate to software quality? an examination of product development data
title_full How does developer interaction relate to software quality? an examination of product development data
title_fullStr How does developer interaction relate to software quality? an examination of product development data
title_full_unstemmed How does developer interaction relate to software quality? an examination of product development data
title_sort how does developer interaction relate to software quality? an examination of product development data
publisher Institutional Knowledge at Singapore Management University
publishDate 2018
url https://ink.library.smu.edu.sg/sis_research/5579
https://ink.library.smu.edu.sg/context/sis_research/article/6582/viewcontent/HowDoesDeveloperInteraction_2018_av.pdf
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