2026-07-23T20:55:09Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:10788 2024-03-06T11:05:06Z ddc:004 open_access

Automated Large-Scale Multi-Language Dynamic Program Analysis in the Wild (Artifact) Villazón, Alex Sun, Haiyang Rosà, Andrea Rosales, Eduardo Bonetta, Daniele Defilippis, Isabella Oporto, Sergio Binder, Walter Dynamic program analysis code repositories GitHub Node.js Java Scala promises JIT-unfriendly code task granularity This 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Alex Villazón and Haiyang Sun and Andrea Rosà and Eduardo Rosales and Daniele Bonetta and Isabella Defilippis and Sergio Oporto and Walter Binder 2019 Is Part Of DARTS, Volume 5, Issue 2, Special Issue of the 33rd European Conference on Object-Oriented Programming (ECOOP 2019) Article Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DARTS.5.2.11 urn:nbn:de:0030-drops-107881 https://drops.dagstuhl.de/entities/document/10.4230/DARTS.5.2.11 eng https://creativecommons.org/licenses/by/3.0/de/legalcode