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The paper titled as ModelMine A Tool to Facilitate Mining Models from Open Source Repositories is presented by Sayed Mohsin Reza at ACM / IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS 2020) conference in Montreal Canada Tool URL: https://www.smreza.com/projects/modelmine/ Abstract: Mining Software Repositories (MSR) has opened up new pathways and rich sources of data for research and practical purposes. This research discipline facilitates mining data from open source repositories and analyzing software defects, development activities, processes, patterns, and more. Contemporary mining tools are geared towards data extraction, analysis primarily from textual artifacts and have limitations in representation, ranking, and availability. This paper presents ModelMine, a novel mining tool that focuses on mining model-based artifacts and designs from open source repositories. ModelMine is designed particularly to mine software repositories, artifacts and commit history to uncover information about software designs and practices in open-source communities. ModelMine supports features that include identification and ranking of open source repositories based on the extent of the presence of model-based artifacts and querying repositories to extract models and design artifacts based on customizable criteria. It supports phase-by-phase caching of intermediate results to speed up the processing to enable efficient mining of data. We compare ModelMine against a state-of-the-art a tool named PyDriller in terms of performance and usability. The results show that ModelMine has the potential to become instrumental for cross-disciplinary research that combines modeling and design with repository mining and artifacts extraction. Key Highlights & Overview: Learning <strong>Data Mining Tools Open Source</strong> is essential for modern technical workflows and software skills. Follow along with top-rated video tutorials from industry experts today on <strong>TutorTube</strong>.