In this paper, we present our MSR Hackathon 2022 project that replicates an existing Gitter study using GrimoireLab. We compare the previous study's pipeline with our GrimoireLab implementation in terms of speed, data consistency, organization, and the learning curve to get started. We believe our experience with GrimoireLab can help future researchers in making the right choice while implementing their data pipelines over Gitter and Github data.
翻译:在本文中,我们介绍了我们的MSR Hackathon 2022项目,该项目利用GrimoireLab复制了现有的Gitter研究。我们比较了先前研究的管道与我们GrimoireLab在速度、数据一致性、组织和即将开始的学习曲线方面的执行情况。 我们相信,我们与GrimoireLab的经验可以帮助未来的研究人员在应用Gitter和Github数据的数据管道时做出正确的选择。