Title :
Why, when, and what: Analyzing Stack Overflow questions by topic, type, and code
Author :
Allamanis, Miltiadis ; Sutton, Craig
Author_Institution :
Sch. of Inf., Univ. of Edinburgh, Edinburgh, UK
Abstract :
Questions from Stack Overflow provide a unique opportunity to gain insight into what programming concepts are the most confusing. We present a topic modeling analysis that combines question concepts, types, and code. Using topic modeling, we are able to associate programming concepts and identifiers (like the String class) with particular types of questions, such as, “how to perform encoding”.
Keywords :
Web sites; high level languages; statistical analysis; Stack Overflow question analysis; codes; encoding; identifiers; programming concepts; question concepts; question types; string class; topic modeling analysis; Androids; Cascading style sheets; Humanoid robots; Java; Programming; Software;
Conference_Titel :
Mining Software Repositories (MSR), 2013 10th IEEE Working Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4799-0345-0
DOI :
10.1109/MSR.2013.6624004