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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Supplemental artifacts of the paper: Efficient Binary-Level Coverage Analysis

Authors: M. Ammar Ben Khadra;

Supplemental artifacts of the paper: Efficient Binary-Level Coverage Analysis

Abstract

NOTE: the official repository of bcov is: https://github.com/abenkhadra/bcov This repository contains the artifacts accompanying our paper: "Efficient Binary-Level Coverage Analysis", which appeared in ESEC/FSE'20. The artifacts consists of two packages, namely, bcov-benchmarks.tar.gz and bcov-artifacts.tar.gz. The former package contains the complete list of binaries described in our experiments. The artifacts of the latter package are organized as follows: - sample-binaries. Folder that contains sample binaries patched with bcov. - dataset.tar.gz. Package containing experimental data in csv format. - figures. Folder that contains the python script used to generate the figures of our paper. It assumes that the dataset was first extracted to the folder `dataset`. - install.sh. This script builds and installs bcov together with its dependencies. - experiment-01.sh. This script patches our sample binaries and shows how coverage data can be collected. It assumes that bcov was installed using the previous script. - bcov.tar.gz. Source code of the first public version of `bcov`. The tool is distributed under an MIT license.

Keywords

code coverage analysis, jump table analysis, reverse engineering, static binary instrumentation, supplemental artifacts

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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