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Article: Social networks and coordination performance of distributed software development teams

TitleSocial networks and coordination performance of distributed software development teams
Authors
Issue Date2009
Citation
Journal of High Technology Management Research, 2009, v. 20 n. 1, p. 52-61 How to Cite?
AbstractIn this study, we explore the coordination performance of the geographically distributed software development teams by exploring OSS (Open Source Software) development dataset available through SourceForge.com. OSS team structures have traditionally been geographically dispersed and therefore, the coordination of post release activities such as testing efforts have been carried out by means of communication via electronic forms, such as email or message boards and forums. In our current communication-enriched environment, best practices for coordination are adopted by all software projects yet some still fail to achieve their target performance. Does team structure have any bearing on the performance outcome of the project? How does the communication between teams and their external parties affect ultimate success or failure of projects? We seek to answer above questions by applying existing theories and analytical methods from social networks for exploring the coordination performance of defect management activities found in OSS projects. We propose social networks based theoretical model for exploring distributed coordination structure and apply that for the case of OSS defect management process for exploring the structural properties, which induce the greatest coordination performance. The outcome of our suggest that there is correlation between certain network measures such as density, centrality and betweenness and coordination performance measures of defect management systems such as quality and timeliness. © 2009 Elsevier Inc. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/194238
ISSN
2015 SCImago Journal Rankings: 0.342

 

DC FieldValueLanguage
dc.contributor.authorHossain, L-
dc.contributor.authorZhu, D-
dc.date.accessioned2014-01-30T03:32:20Z-
dc.date.available2014-01-30T03:32:20Z-
dc.date.issued2009-
dc.identifier.citationJournal of High Technology Management Research, 2009, v. 20 n. 1, p. 52-61-
dc.identifier.issn1047-8310-
dc.identifier.urihttp://hdl.handle.net/10722/194238-
dc.description.abstractIn this study, we explore the coordination performance of the geographically distributed software development teams by exploring OSS (Open Source Software) development dataset available through SourceForge.com. OSS team structures have traditionally been geographically dispersed and therefore, the coordination of post release activities such as testing efforts have been carried out by means of communication via electronic forms, such as email or message boards and forums. In our current communication-enriched environment, best practices for coordination are adopted by all software projects yet some still fail to achieve their target performance. Does team structure have any bearing on the performance outcome of the project? How does the communication between teams and their external parties affect ultimate success or failure of projects? We seek to answer above questions by applying existing theories and analytical methods from social networks for exploring the coordination performance of defect management activities found in OSS projects. We propose social networks based theoretical model for exploring distributed coordination structure and apply that for the case of OSS defect management process for exploring the structural properties, which induce the greatest coordination performance. The outcome of our suggest that there is correlation between certain network measures such as density, centrality and betweenness and coordination performance measures of defect management systems such as quality and timeliness. © 2009 Elsevier Inc. All rights reserved.-
dc.languageeng-
dc.relation.ispartofJournal of High Technology Management Research-
dc.titleSocial networks and coordination performance of distributed software development teams-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.hitech.2009.02.007-
dc.identifier.scopuseid_2-s2.0-67349209494-
dc.identifier.volume20-
dc.identifier.issue1-
dc.identifier.spage52-
dc.identifier.epage61-

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