DocumentCode :
3691697
Title :
SODA: the stack overflow dataset almanac
Author :
Nicolas Latorre;Roberto Minelli;Andrea Mocci;Luca Ponzanelli;Michele Lanza
Author_Institution :
REVEAL @ Faculty of Informatics ? Universit`a della Svizzera italiana (USI), Switzerland
fYear :
2015
fDate :
9/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
5
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/.
Keywords :
"Software","Market research","Software engineering","Computer languages","Data visualization","Data mining","Layout"
Publisher :
ieee
Conference_Titel :
Mining Unstructured Data (MUD), 2015 IEEE 5th Workshop on
Type :
conf
DOI :
10.1109/MUD.2015.7327961
Filename :
7327961
Link To Document :
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