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dc.contributor.authorSilva, Renato Rodrigues Oliveira daen_US
dc.contributor.authorVernier, Eduardo Faccinen_US
dc.contributor.authorRauber, Paulo Eduardoen_US
dc.contributor.authorComba, Joao L. D.en_US
dc.contributor.authorMinghim, Rosaneen_US
dc.contributor.authorTelea, Alexandru C.en_US
dc.contributor.editorMatthias Hullin and Marc Stamminger and Tino Weinkaufen_US
dc.description.abstractUnderstanding 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.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleMetric Evolution Maps: Multidimensional Attribute-driven Exploration of Software Repositoriesen_US
dc.description.seriesinformationVision, Modeling & Visualization
dc.description.sectionheadersExploring Trees and Time Series

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  • VMV16
    ISBN 978-3-03868-025-3

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