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DOI: 10.4230/DARTS.5.2.11
URL: http://drops.dagstuhl.de/opus/volltexte/2019/10788/
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Villazˇn, Alex ; Sun, Haiyang ; RosÓ, Andrea ; Rosales, Eduardo ; Bonetta, Daniele ; Defilippis, Isabella ; Oporto, Sergio ; Binder, Walter

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

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DARTS-5-2-11.pdf (0.3 MB)
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DARTS-5-2-11-artifact-fa2151a3fa429d676e7eb2c77d5aad62.tgz (5,647 MB)


Abstract

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.

BibTeX - Entry

@Article{villazn_et_al:DARTS:2019:10788,
  author =	{Alex Villaz{\'o}n and Haiyang Sun and Andrea Ros{\`a} and Eduardo Rosales and Daniele Bonetta and Isabella Defilippis and Sergio Oporto and Walter Binder},
  title =	{{Automated Large-Scale Multi-Language Dynamic Program Analysis in the Wild (Artifact)}},
  pages =	{11:1--11:3},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2019},
  volume =	{5},
  number =	{2},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/10788},
  doi =		{10.4230/DARTS.5.2.11},
  annote =	{Keywords: Dynamic program analysis, code repositories, GitHub, Node.js, Java, Scala, promises, JIT-unfriendly code, task granularity}
}

Keywords: Dynamic program analysis, code repositories, GitHub, Node.js, Java, Scala, promises, JIT-unfriendly code, task granularity
Seminar: Special Issue of the 33rd European Conference on Object-Oriented Programming (ECOOP 2019)
Related Scholarly Article: https://dx.doi.org/10.4230/LIPIcs.ECOOP.2019.20
Issue Date: 2019
Date of publication: 12.07.2019


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