Conference proceeding
Exploratory Study of Slack Q&A Chats as a Mining Source for Software Engineering Tools
2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR), v 2019-, pp 490-501
May 2019
Abstract
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.
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4 Record Views
60 citations in Scopus
Details
- Title
- Exploratory Study of Slack Q&A Chats as a Mining Source for Software Engineering Tools
- Creators
- Preetha Chatterjee - University of DelawareKostadin Damevski - Virginia Commonwealth UniversityLori Pollock - University of DelawareVinay Augustine - AbbVieNicholas A. Kraft - AbbVie
- Publication Details
- 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR), v 2019-, pp 490-501
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Scopus ID
- 2-s2.0-85072338473
- Other Identifier
- 991021883915004721