Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

10-2015

Abstract

Twitter is a popular means to disseminate information and currently more than 300 million people are using it actively. Software engineers are no exception; Singer et al. have shown that many developers use Twitter to stay current with recent technological trends. At various time points, many users are posting microblogs (i.e., tweets) about the same topic in Twitter. We refer to this reasonably large set of topically-coherent microblogs in the Twitter space made at a particular point in time as an event. In this work, we perform an exploratory study on software engineering related events in Twitter. We collect a large set of Twitter messages over a period of 8 months that are made by 79,768 Twitter users and filter them by five programming language keywords. We then run a state-of-the-art Twitter event detection algorithm borrowed from the Natural Language Processing (NLP) domain. Next, using the open coding procedure, we manually analyze 1,000 events that are identified by the NLP tool, and create eleven categories of events (10 main categories + “others”). We find that external resource sharing, technical discussion, and software product updates are the “hottest” categories. These findings shed light on hottopics in Twitter that are interesting to many people and they provide guidance to future Twitteranalytics studies that develop automated solutions to help users find fresh, relevant, and interesting pieces of information from Twitter stream to keep developers up-to-date with recent trends.

Keywords

Categorization, Event Detection, Exploratory Study, Twitter

Discipline

Social Media | Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

31st International Conference on Software Maintenance and Evolution (ICSME 2015)

First Page

541

Last Page

545

ISBN

9781467375320

Identifier

10.1109/ICSM.2015.7332510

City or Country

Bremen, Germany

Copyright Owner and License

LARC

Additional URL

http://dx.doi.org/10.1109/ICSM.2015.7332510

Download

Share

COinS