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IWPC '02 Proceedings of the 10th International Workshop on Program Comprehension
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Predicting Defects for Eclipse
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Latent social structure in open source projects
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SPSS 16.0 Guide to Data Analysis
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The Importance of Social Network Structure in the Open Source Software Developer Community
HICSS '10 Proceedings of the 2010 43rd Hawaii International Conference on System Sciences
Codebook: discovering and exploiting relationships in software repositories
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Improving developer activity metrics with issue tracking annotations
Proceedings of the 2010 ICSE Workshop on Emerging Trends in Software Metrics
Measuring the Effectiveness of the Defect-Fixing Process in Open Source Software Projects
HICSS '11 Proceedings of the 2011 44th Hawaii International Conference on System Sciences
Socio-technical developer networks: should we trust our measurements?
Proceedings of the 33rd International Conference on Software Engineering
Does adding manpower also affect quality?: an empirical, longitudinal analysis
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
Free/Libre open-source software development: What we know and what we do not know
ACM Computing Surveys (CSUR)
Understanding a developer social network and its evolution
ICSM '11 Proceedings of the 2011 27th IEEE International Conference on Software Maintenance
Developer prioritization in bug repositories
Proceedings of the 34th International Conference on Software Engineering
Characterizing and predicting which bugs get reopened
Proceedings of the 34th International Conference on Software Engineering
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Universally accessible and publically archived nature of Bug Tracking System (BTS) of Open Source Software enables developers to follow the work of each other and contribute in bug fixing. The interaction of developers through comments on BTS of project leads to form a social network. The developers and their relationships change over the time resulting in evolution of Developers' social network (DSN). Prior studies (Hong et.al) have compared the evolution of DSN with evolution of general social networks like facebook, twitter etc., showing their resemblance and some differences with them. However these studies don't provide any insight how the evolution of DSN correlate with the effectiveness of bug fixing process over the time. Such insight is helpful as managers can reorganize the teams and issue the guidelines to the developers, accordingly, forcing the communication structure which results in to more effective bug fixing process. In this paper, we first study the evolution of DSN of Eclipse a java based IDE, partially replicating and enhancing the study done by Hong et. al. Then we show how the global social network properties of the DSN e.g. Average Path Length, Clustering Coefficient, modularity etc. has an impact on attributes characterizing effectiveness of bug fixing process like average fix time of the bugs, percentage of bugs fixed etc. We found good correlation between global social network properties and attributes characterizing the bug fixing process.