Creative Commons Attribution 3.0 Germany license (CC BY 3.0 DE)when quoting this document, please refer to the following
DOI: 10.4230/DARTS.5.2.11
URN: urn:nbn:de:0030-drops-107881
URL: https://drops.dagstuhl.de/opus/volltexte/2019/10788/
Villazón, Alex ; Sun, Haiyang ; Rosà, 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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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 |
