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2015 IEEE 5th Workshop on Mining Unstructured Data (MUD) (2015)
Bremen, Germany
Sept. 28, 2015 to Sept. 28, 2015
ISBN: 978-1-4673-7012-7
pp: 1-5
Nicolas Latorre , REVEAL @ Faculty of Informatics ? Universit`a della Svizzera italiana (USI), Switzerland
Roberto Minelli , REVEAL @ Faculty of Informatics ? Universit`a della Svizzera italiana (USI), Switzerland
Andrea Mocci , REVEAL @ Faculty of Informatics ? Universit`a della Svizzera italiana (USI), Switzerland
Luca Ponzanelli , REVEAL @ Faculty of Informatics ? Universit`a della Svizzera italiana (USI), Switzerland
Michele Lanza , REVEAL @ Faculty of Informatics ? Universit`a della Svizzera italiana (USI), Switzerland
ABSTRACT
Stack Overflow has become a fundamental resource for developers, becoming the de facto Question and Answer (Q&A) website, and one of the standard unstructured data sources for software engineering research to mine knowledge about development. We present SODA, the Stack Overflow Dataset Almanac, a tool that helps researchers and developers to better understand the trends of discussion topics in Stack Overflow, based on the available tagging system. SODA provides an effective visualization to support the analysis of topics in different time intervals and frames, leveraging single or co-occurrent tags. We show, through simple usage scenarios, how SODA can be used to find interesting peculiar moments in the evolution of Stack Overflow discussions that closely match specific recent events in the area of software development. SODA is available at http://rio.inf.usi.ch/soda/
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CITATION

N. Latorre, R. Minelli, A. Mocci, L. Ponzanelli and M. Lanza, "SODA: the stack overflow dataset almanac," 2015 IEEE 5th Workshop on Mining Unstructured Data (MUD), Bremen, Germany, 2015, pp. 1-5.
doi:10.1109/MUD.2015.7327961
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