An Empirical Study on the Characteristics of Question-Answering Process on Developer Forums
Yi Li, Shaohua Wang, Tien N. Nguyen, Son Van Nguyen, Xinyue Ye, Yan, Wang

TL;DR
This study empirically analyzes developer forums to understand question-answering behaviors, revealing that most answers involve API documentation and are provided by API teams, informing future automated Q&A solutions.
Contribution
It provides the first empirical analysis of question-answering patterns on developer API forums, highlighting key characteristics and response sources.
Findings
Over 60% of answers include API method names or documentation.
More than 85% of answers come from API development teams.
Answers from API teams generate fewer follow-up questions.
Abstract
Developer forums are one of the most popular and useful Q&A websites on API usages. The analysis of API forums can be a critical resource for the automated question and answer approaches. In this paper, we empirically study three API forums including Twitter, eBay, and AdWords, to investigate the characteristics of question-answering process. We observe that +60% of the posts on all three forums were answered by providing API method names or documentation. +85% of the questions were answered by API development teams and the answers from API development teams drew fewer follow-up questions. Our results provide empirical evidences for us in a future work to build automated solutions to answer developer questions on API forums.
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Taxonomy
TopicsExpert finding and Q&A systems · Software Engineering Research · Topic Modeling
