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MSR 2019
Sun 26 - Mon 27 May 2019 Montreal, QC, Canada
co-located with ICSE 2019

Modern software development communities are increasingly social. Popular chat platforms such as Slack host public chat communities that focus on specific development topics such as Python or Ruby-on-Rails. Conversations in these public chats often follow a Q&A format, with someone seeking information and others providing answers in chat form. In this paper, we describe an exploratory study into the potential use- fulness and challenges of mining developer Q&A conversations for supporting software maintenance and evolution tools. We designed the study to investigate the availability of information that has been successfully mined from other developer communications, particularly Stack Overflow. We also analyze characteristics of chat conversations that might inhibit accurate automated analysis. Our results indicate the prevalence of useful information, including API mentions and code snippets with descriptions, and several hurdles that need to be overcome to automate mining that information.

Mon 27 May

msr-2019-Paper-Presentations
11:55 - 12:30: MSR 2019 Paper Presentations - Session VII: Collaboration & Communication (Part 2) at Place du Canada
Chair(s): Kelly BlincoeUniversity of Auckland
msr-2019-papers11:55 - 12:10
Full-paper
Saikat MondalUniversity of Saskatchewan, Masud RahmanUniversity of Saskatchewan , Chanchal K. RoyUniversity of Saskatchewan
Pre-print
msr-2019-papers12:10 - 12:25
Full-paper
Preetha ChatterjeeUniversity of Delaware, USA, Kostadin DamevskiVirginia Commonwealth University, Lori PollockUniversity of Delaware, USA, Vinay Augustine, Nicholas A. KraftABB Corporate Research
Pre-print
msr-2019-papers12:25 - 12:31
Short-paper
Junichi HayashiOsaka University, Yoshiki HigoOsaka University, Shinsuke MatsumotoOsaka University, Shinji KusumotoOsaka University
Pre-print