(2016) found on Slack through surveys are applicable to developer messages exchanged on Gitter. We then present a qualitative study to understand the extent to which the categories identified in previous work by Lin et al. In this paper, we first describe the largest manually labeled and curated dataset of Gitter developer messages, named GitterCom, obtained by manually analyzing and labeling 10,000 Gitter messages in 10 software projects. Uncovering what developers are communicating about through Gitter is an essential first step towards successfully understanding and leveraging this information. Among these platforms, Gitter has emerged as a popular choice and the messages it contains can reveal important information to researchers studying open source software systems. Software developers are often using instant messaging platforms to communicate with each other and other stakeholders.
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