Silva, Renato Rodrigues Oliveira daVernier, Eduardo FaccinRauber, Paulo EduardoComba, Joao L. D.Minghim, RosaneTelea, Alexandru C.Matthias Hullin and Marc Stamminger and Tino Weinkauf2016-10-102016-10-102016978-3-03868-025-3-https://doi.org/10.2312/vmv.20161343https://diglib.eg.org:443/handle/10.2312/vmv20161343Understanding how software entities in a repository evolve over time is challenging, as an entity has many aspects that undergo such changes. We cast this problem in a multidimensional visualization context: First, we capture change by extracting quality metrics from all software entities in all revisions in a software repository, yielding a multidimensional time-dependent dataset. Next, we propose Metric Evolution Maps (MEMs), a new visual approach to create dynamic maps that show the similarity of entities in a revision and changes across revisions. We enrich MEMs with visual cues to show which metrics and metric values are key to formation of similar-entity patterns. Additionally, we show how entities change between revisions, and due to which metrics. We illustrate our approach by exploring changes in two real-world software repositories.10.2312/vmv.2016134361-68