FLOSSmole: A Collaborative Repository for FLOSS Research Data and Analyses

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Author(s): James Howison (Syracuse University, USA), Megan Conklin (Elon University, USA)and Kevin Crowston (Syracuse University, USA)
Copyright: 2009
Pages: 10
Source title: Software Applications: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Pierre F. Tiako (Langston University, USA)
DOI: 10.4018/978-1-60566-060-8.ch009

Keywords: Computer Science & IT / Information Science Reference / Systems & Software Design / Systems and Software Engineering

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Abstract

This article introduces and expands on previous work on a collaborative project, called FLOSSmole (formerly OSSmole), designed to gather, share, and store comparable data and analyses of free, libre, and open source software (FLOSS) development for academic research. The project draws on the ongoing collection and analysis efforts of many research groups, reducing duplication, and promoting compatibility both across sources of FLOSS data and across research groups and analyses. The article outlines current difficulties with the current typical quantitative FLOSS research process and uses these to develop requirements and presents the design of the system.

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FLOSSmole: A Collaborative Repository for FLOSS Research Data and Analyses

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