Publication Type

Journal Article

Version

acceptedVersion

Publication Date

6-2018

Abstract

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.

Keywords

Clustering, Connection, Defect count, Interaction, Jazz, Software quality, Software teams

Discipline

Databases and Information Systems | Software Engineering

Research Areas

Information Systems and Management

Publication

Empirical Software Engineering

Volume

23

Issue

3

First Page

1153

Last Page

1187

ISSN

1382-3256

Identifier

10.1007/s10664-017-9534-0

Publisher

Springer Verlag (Germany)

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1007/s10664-017-9534-0

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