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