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ICSE 2020
Wed 24 June - Thu 16 July 2020
Wed 8 Jul 2020 01:29 - 01:35 at Baekje - P10-Stack Overflow Chair(s): Emerson Murphy-Hill

Closing a question on a community question answering forum such as Stack Overflow is a highly divisive event. On one hand, moderation is of crucial importance in maintaining the content quality indispensable for the future sustainability of the site. On the other hand, details about the closing reason might frequently appear blurred to the user, which leads to debates and occasional negative behavior in answers or comments. With the aim of helping the users compose good quality questions, we introduce a set of classifiers for the categorization of Stack Overflow posts prior to their actual submission. Our binary classifier is capable of predicting whether a question will be closed after posting with an accuracy of 71.87%. Additionally, in this study we propose the first multiclass classifier to estimate the exact reason of closing a question to an accuracy of 48.55%. Both classifiers are based on Gated Recurrent Units and trained solely on the pre-submission textual information of Stack Overflow posts.

Wed 8 Jul

Displayed time zone: (UTC) Coordinated Universal Time change

01:05 - 02:05
What Do Programmers Discuss about Blockchain? A Case Study on the Use of Balanced LDA and the Reference Architecture of a Domain to Capture Online Discussions about Blockchain Platforms across Stack Exchange CommunitiesJ1
Journal First
Zhiyuan Wan Zhejiang University, Xin Xia Monash University, Ahmed E. Hassan Queen's University
Bounties on Technical Q&A Sites: A Case Study of Stack Overflow BountiesJ1
Journal First
Jiayuan Zhou Queen's University, Shaowei Wang Mississippi State University, Cor-Paul Bezemer University of Alberta, Canada, Ahmed E. Hassan Queen's University
MSRBot: Using Bots to Answer Questions from Software RepositoriesJ1
Journal First
Ahmad Abdellatif Concordia University, Khaled Badran Concordia University, Emad Shihab Concordia University
Why Will My Question Be Closed? NLP-Based Pre-Submission Predictions of Question Closing Reasons on Stack OverflowNIER
New Ideas and Emerging Results
Laszlo Toth University of Szeged, Hungary, Balázs Nagy University of Szeged, Hungary, László Vidács University of Szeged, Hungary, Tibor Gyimóthy University of Szeged, Hungary
Interpreting Cloud Computer Vision Pain-Points: A Mining Study of Stack OverflowTechnical
Technical Papers
Alex Cummaudo Applied Artificial Intelligence Institute, Deakin University, Rajesh Vasa Deakin University, Scott Barnett Deakin University, John Grundy Monash University, Mohamed Abdelrazek Deakin University