%0 Conference Paper %B 2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010) %D 2010 %T Should I contribute to this discussion? %A Ibrahim, Walid M %A Bettenburg, Nicolas %A Shihab, Emad %A Adams, Bram %A Hassan, Ahmed E. %K apache %K contributions %K developers %K email %K email archives %K mailing lists %K postgresql %K python %X Development mailing lists play a central role in facilitating communication in open source projects. Since these lists frequently host design and project discussions, knowledgeable contribution to these discussion threads is essential to avoid mis-communication that might slow-down the progress of a project. However, given the sheer volume of emails on these lists, it is easy to miss important discussions. To find out how developers are able to deal with mailing list discussions, we study the main factors that encourage developers to contribute to the development mailing lists. We develop personalized models to automatically identify discussion threads that a developer would contribute to based on his previous contribution behavior. Case studies on development mailing lists of three open source projects (Apache, PostgreSQL and Python) show that the average accuracy of our models is 89-85% and that the models vary significantly between different developers. %B 2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010) %I IEEE %C Cape Town %P 181 - 190 %@ 978-1-4244-6802-7 %R 10.1109/MSR.2010.5463345 %> https://flosshub.org/sites/flosshub.org/files/181ibrahim-msr2010.pdf %0 Conference Paper %B Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007) %D 2007 %T What Can OSS Mailing Lists Tell Us? A Preliminary Psychometric Text Analysis of the Apache Developer Mailing List %A Peter C. Rigby %A Hassan, Ahmed E. %K apache %K developers %K email %K joining %K liwc %K mailing lists %K personality %X 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. %B Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007) %I IEEE %C Minneapolis, MN, USA %P 23 - 23 %@ 0-7695-2950-X %R 10.1109/MSR.2007.35 %> https://flosshub.org/sites/flosshub.org/files/28300023.pdf