Design lessons from the fastest q&a site in the west

By Lena Mamykina, Bella Manoim, Manas Mittal, George Hripcsak, Bjoern Hartmann. International Conference on Human Factors in Computing Systems, 2011

649 citations recorded by the source corpus.

Subfields: Computer Science Applications, Information Systems

View Paper: https://www.semanticscholar.org/paper/c426ab1cb2e12a5d09110866fb0e77cc6fcfa632

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Science Applications

In Information Systems

Citations in the corpus

An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples (2019, methodology): “For help with their code, developers often turn to programming question and answer (Q&A) communities, most visible of which is Stack Overflow [35], [36].”
What are mobile developers asking about? A large scale study using stack overflow (2015, methodology): “This is also significantly higher than most questions on Stack Overflow, in which the median time to receive an accepted answer is 21 minutes (Mamykina et al. 2011).”
Creating Guided Code Explanations with chat.codes (2018, background): “These discussion forums are useful even for programmers who do not participate in a discussion because they build “accumulated knowledge” [1, 2, 32], meaning programmers can find answers to their questions by looking at previous discussions.”
What are developers talking about? An analysis of topics and trends in Stack Overflow (2014, background): “Answers (2012), to discover patterns of user behavior (Gyöngyi et al. 2008), determine the quality of answers (Shah and Pomerantz 2010), and analyze design features of successful Q&A websites (Mamykina et al. 2011).”
What makes a good code example?: A study of programming Q&A in StackOverflow (2012, background): “Some software developers believe that SO has replaced web search/forums as their main source of finding answers to their programming problems [16].”
A Hidden Markov Model to detect coded information islands in free text (2013, background): “Stack Overflow has gained popularity among developers and is becoming an important venue for sharing knowledge on software development [28].”