Automated Large-Scale Multi-Language Dynamic Program Analysis in the Wild (Artifact)

dc.contributor.authorAlex Villazón
dc.contributor.authorHaiyang Sun
dc.contributor.authorAndrea Rosà
dc.contributor.authorEduardo Rosales
dc.contributor.authorDaniele Bonetta
dc.contributor.authorIsabella Defilippis
dc.contributor.authorSergio Oporto
dc.contributor.authorWalter Binder
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T18:02:26Z
dc.date.available2026-03-22T18:02:26Z
dc.date.issued2019
dc.description.abstractThis artifact provides a preliminary release of NAB, a distributed infrastructure for executing large-scale dynamic program analyses (DPAs). The artifact consists of ready-to-use Docker containers that allow one to run different DPA tools (Deep-Promise, JITProf, and tgp) on Node.js, Java, and Scala projects hosted on GitHub. The artifact enables the reproduction of the figures and tables of the related paper "Automated Large-scale Multi-language Dynamic Program Analysis in the Wild" with pre-collected data (several GBs) and the execution of DPAs on specific sets of GitHub projects.
dc.identifier.doi10.4230/darts.5.2.11
dc.identifier.urihttps://doi.org/10.4230/darts.5.2.11
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/67750
dc.language.isoen
dc.publisherSchloss Dagstuhl – Leibniz Center for Informatics
dc.relation.ispartofDROPS (Schloss Dagstuhl – Leibniz Center for Informatics)
dc.sourceUniversidad Privada Boliviana
dc.subjectArtifact (error)
dc.subjectComputer science
dc.subjectScale (ratio)
dc.subjectArtificial intelligence
dc.subjectNatural language processing
dc.titleAutomated Large-Scale Multi-Language Dynamic Program Analysis in the Wild (Artifact)
dc.typearticle

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