@proceedings {1288,
	title = {An Analysis of Author Contribution Patterns in Eclipse Foundation Project Source Code},
	year = {2011},
	note = {"We conducted an observational study on existing Eclipse projects by extracting author attribution data for Java source code files from git repositories."

"Specifically, we consider entropy of source code by counting the number of lines attributed to each author."},
	month = {10/2011},
	pages = {269-281},
	publisher = {Springer},
	abstract = {Collaborative development is a key tenet of open source software, but if not properly understood and managed, it can become a liability. We examine author contribution data for the newest revision of 251,633 Java source files in 592 Eclipse projects. We use this observational data to analyze collaboration patterns within files, and to explore relationships between file size, author count, and code authorship. We calculate author entropy to characterize the contributions of multiple authors to a given file, with an eye toward understanding the degree of collaboration and the most common interaction patterns.},
	keywords = {COLLABORATION, contribution, eclipse, entropy, java},
	author = {Taylor, Quinn C. and Krein, Jonathan L. and MacLean, Alexander C. and Knutson, Charles D.}
}
@article {1240,
	title = {Impact of Programming Language Fragmentation on Developer Productivity},
	journal = {International Journal of Open Source Software and Processes},
	volume = {2},
	year = {2010},
	month = {32/2010},
	pages = {41 - 61},
	abstract = {Programmers often develop software in multiple languages. In an effort to study the effects of programming language fragmentation on productivity{\textemdash}and ultimately on a developer{\textquoteright}s problem-solving abilities{\textemdash}the authors present a metric, language entropy, for characterizing the distribution of a developer{\textquoteright}s programming efforts across multiple programming languages. This paper presents an observational study examining the project contributions of a random sample of 500 SourceForge developers. Using a random coefficients model, the authors find a statistically (alpha level of 0.001) and practically significant correlation between language entropy and the size of monthly project contributions. Results indicate that programming language fragmentation is negatively related to the total amount of code contributed by developers within SourceForge, an open source software (OSS) community.},
	keywords = {commits, entropy, language entropy, programming languages, sourceforge, srda},
	issn = {1942-3934},
	doi = {10.4018/jossp.2010040104},
	author = {Krein, Jonathan L. and MacLean, Alexander C. and Knutson, Charles D. and Delorey, Daniel P. and Eggett, Dennis L.}
}
@conference {1210,
	title = {Author Entropy: A Metric for Characterization  of Software Authorship Patterns},
	booktitle = {3rd Workshop on Public Data about Software Development (WoPDaSD 2008)},
	year = {2008},
	note = {used flossmole to get sample of SF developers},
	month = {2008},
	pages = {42-47},
	abstract = {We propose the concept of author entropy and describe how file-level entropy measures may be used to understand and characterize authorship patterns within individual files, as well as across an entire project. As a proof of concept, we compute author entropy for 28,955 files from 33 open-source projects. We explore patterns of author entropy, identify techniques for visualizing author entropy, and propose avenues for further study. },
	keywords = {developers, entropy, flossmole, sourceforge},
	attachments = {https://flosshub.org/sites/flosshub.org/files/entropy2008.pdf},
	author = {Taylor, Quinn C. and Stevenson, James E. and Delorey, Daniel P. and Knutson, Charles D.}
}
