@conference {1008,
	title = {What Can OSS Mailing Lists Tell Us? A Preliminary Psychometric Text Analysis of the Apache Developer Mailing List},
	booktitle = {Fourth International Workshop on Mining Software Repositories (MSR{\textquoteright}07:ICSE Workshops 2007)},
	year = {2007},
	pages = {23 - 23},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Minneapolis, MN, USA},
	abstract = {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.},
	keywords = {apache, developers, email, joining, liwc, mailing lists, personality},
	isbn = {0-7695-2950-X},
	doi = {10.1109/MSR.2007.35},
	attachments = {https://flosshub.org/sites/flosshub.org/files/28300023.pdf},
	author = {Peter C. Rigby and Hassan, Ahmed E.}
}
@conference {German:2006:UEA:1137983.1138020,
	title = {Using evolutionary annotations from change logs to enhance program comprehension},
	booktitle = {Proceedings of the 2006 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}06},
	year = {2006},
	pages = {159{\textendash}162},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Evolutionary annotations are descriptions of how source code evolves over time. Typical source comments, given their static nature, are usually inadequate for describing how a program has evolved over time; instead, source code comments are typically a description of what a program currently does. We propose the use of evolutionary annotations as a way of describing the rationale behind changes applied to a given program (for example "These lines were added to ..."). Evolutionary annotations can assist a software developer in the understanding of how a given portion of source code works by showing him how the source has evolved into its current form.In this paper we describe a method to automatically create evolutionary annotations from change logs, defect tracking systems and mailing lists. We describe the design of a prototype for Eclipse that can filter and present these annotations alongside their corresponding source code and in workbench views. We use Apache as a test case to demonstrate the feasibility of this approach.},
	keywords = {annotations, apache, bug tracking, change history, eclipse, evolutionary, log files, mailing lists, mining software repositories, software evolution, version control},
	isbn = {1-59593-397-2},
	doi = {http://doi.acm.org/10.1145/1137983.1138020},
	url = {http://doi.acm.org/10.1145/1137983.1138020},
	attachments = {https://flosshub.org/sites/flosshub.org/files/159UsingEvolutionary.pdf},
	author = {Daniel M. German and Peter C. Rigby and Storey, Margaret-Anne}
}
