C4.5: programs for machine learning
C4.5: programs for machine learning
Two case studies of open source software development: Apache and Mozilla
ACM Transactions on Software Engineering and Methodology (TOSEM)
The Cathedral and the Bazaar
Identifying Reasons for Software Changes Using Historic Databases
ICSM '00 Proceedings of the International Conference on Software Maintenance (ICSM'00)
Socialization in an Open Source Software Community: A Socio-Technical Analysis
Computer Supported Cooperative Work
Proceedings of the 2006 international workshop on Mining software repositories
The processes of joining in global distributed software projects
Proceedings of the 2006 international workshop on Global software development for the practitioner
Have things changed now?: an empirical study of bug characteristics in modern open source software
Proceedings of the 1st workshop on Architectural and system support for improving software dependability
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Talk and work: a preliminary report
Proceedings of the 2008 international working conference on Mining software repositories
Listening to programmers Taxonomies and characteristics of comments in operating system code
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Time series analysis of open-source software projects
Proceedings of the 47th Annual Southeast Regional Conference
On the central role of mailing lists in open source projects: an exploratory study
JSAI-isAI'09 Proceedings of the 2009 international conference on New frontiers in artificial intelligence
Modeling the evolution of topics in source code histories
Proceedings of the 8th Working Conference on Mining Software Repositories
Are popular classes more defect prone?
FASE'10 Proceedings of the 13th international conference on Fundamental Approaches to Software Engineering
Finding relevant answers in software forums
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
Does cloud computing deliver the promised benefits for IT industry?
Proceedings of the WICSA/ECSA 2012 Companion Volume
Samiksha: mining issue tracking system for contribution and performance assessment
Proceedings of the 6th India Software Engineering Conference
The true role of active communicators: an empirical study of Jazz core developers
Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering
Proceedings of the 2013 International Conference on Software Engineering
Proceedings of the 10th Working Conference on Mining Software Repositories
The MSR cookbook: mining a decade of research
Proceedings of the 10th Working Conference on Mining Software Repositories
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Developer mailing lists are a rich source of information about Open Source Software (OSS) development. The unstructured nature of email makes extracting information difficult. We use a psychometrically-based linguistic analysis tool, the LIWC, to examine the Apache httpd server developer mailing list. We conduct three preliminary experiments to assess the appropriateness of this tool for information extraction from mailing lists. First, using LIWC dimensions that are correlated with the big five personality traits, we assess the personality of four top developers against a baseline for the entire mailing list. The two developers that were responsible for the major Apache releases had similar personalities. Their personalities were different from the baseline and the other developers. Second, the first and last 50 emails for two top developers who have left the project are examined. The analysis shows promise in understanding why developers join and leave a project. Third, we examine word usage on the mailing list for two major Apache releases. The differences may reflect the relative success of each release.