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7 results for “docker image”
MERRIN: MEtabolic Regulation Rule INference from time series data (Docker image and notebooks)
<p>This record contains notebooks and Docker image for reproducing the results of the paper "MERRIN: MEtabolic Regulation Rule INference from time series data" published as part of the ECCB 2022 conference.</p> <p>Notebooks can be executed interactively within the Docker image <code>bioasp/merrin:v1</code> which extends the <a href="http://colomoto.org/notebook">CoLoMoTo Docker</a> version <code>2021-02-01.</code></p> <p>Also see <a href="https://github.com/bioasp/merrin-covert">https://github.com/bioasp/merrin-covert</a></p> <p>The Docker image can be executed as follows:</p> <pre><code class="language-bash">docker pull bioasp/merrin:v1 docker run -it --rm -p 8888:8888 bioasp/merrin:v1 </code></pre> <p>then point your browser to <a href="http://127.0.0.1:8888">http://127.0.0.1:8888</a>.</p> <p>The image can be imported using the command <code>docker load</code> with the image file provided in this record:</p> <pre><code>docker load -i image.tar.gz</code></pre> <p>or with the <code>donodo</code> command available at <a href="https://github.com/pauleve/donodo">https://github.com/pauleve/donodo</a>:</p> <pre><code>pip install -U donodo donodo pull 10.5281/zenodo.6670165</code></pre>
Docker Images Analysis
<p>This replication package is for the Docker container analysis submitted and accepted in SANER2019.</p> <p>Paper title: On The Relation Between Outdated Docker Containers, Severity Vulnerabilities and Bugs</p> <p>This replication package requires Python 3.5+ to be installed, and all the dependencies listed in ``requirements.txt``.<br> They can be automatically installed using ``pip install -r requirements.txt``. <br> The replication package also needs "docker" and "skopeo" (https://github.com/containers/skopeo) tools be installed. However, one can directly use the prepared data and analyze it, without the need to docker or skopeo.<br> These experiments were executed on a Linux Ubuntu OS.</p> <p>Content:<br> + notebooks: contains the notebook with the results and analysis.<br> + data: contains prepared data for the analysis<br> + scripts: contains other scripts needed for inspecting the images before analysis and extracting Debian packages from the Debian snapshot.</p> <p>To obtain the analysis used in the paper, one should execute ``jupyter notebook`` at the root of this replication package, and open the notebook contained in ``notebooks``.</p> <p>For the Data Extraction part, we relied on the tool of ConPan: https://github.com/neglectos/ConPan</p> <p>The data is under the Creative Commons Attribution Share-Alike 4.0 license.<br> The source code is under the GNU General Public License.</p>
Community Docker Hub images and the third-party (JavaScript, Python and Ruby) packages installed in them
<p>This dataset comes with the replication package provided for a study that we carried out on third-party JavaScript, Python and Ruby packages installed in DockerHub images.</p> <p>The replication package can be found in: <a href="https://github.com/neglectos/3dPartyPackages_Docker">https://github.com/neglectos/3dPartyPackages_Docker</a>/</p>
A Large-scale Data Set and an Empirical Study of Docker Images Hosted on Docker Hub
<p>The data set schema, fields description, and analysis scripts are in the GitHub artifact repository.</p> <p>https://github.com/linncy/icsme2020-docker-study</p> <p> </p> <p>@inproceedings{LinICSME20,<br>author={Changyuan Lin and Sarah Nadi and Hamzeh Khazaei},<br>title={A Large-scale Data Set and an Empirical Study of Docker Images Hosted on Docker Hub},<br>booktitle={Proceedings of the 36th IEEE International Conference on Software Maintenance and Evolution (ICSME)},<br>year={2020},<br>url_Paper={https://www.dropbox.com/s/3bktcmdr7rlw1ic/LinICSME20.pdf}<br>}</p>
Packages installed in Debian-based Docker images
<p>This dataset comes with the replication package provided for a study that we carried out on packages installed in Docker images.<br> <br> <strong>Title of the study:</strong> ``A multi-dimensional analysis of technical lag in Debian-based Docker images"<br> <strong>Authors :</strong> Ahmed Zerouali (VUB, UMONS), Tom Mens (UMONS), Alexandre Decan (UMONS), Jesus Gonzalez-Barahona (URJC) and Gregorio Robles (URJC).<br> <strong>Journal</strong>: Empirical Software Engineering </p> <p>The replication package can be found in: <a href="https://github.com/neglectos/dockerhub_analysis/">https://github.com/neglectos/dockerhub_analysis/</a></p>
Data from: The impact of base image selection on the energy efficiency of containerized applications in Docker
<p>Data collected from the workloads in <a href="https://github.com/btjiong/docker-energy">https://github.com/btjiong/docker-energy</a></p><p> </p>
Docker Image for Reproducibility Study
<p>This is the archive of the full Docker image used for the artifact of the ICSE 2023 paper "On the Reproducibility of Software Defect Datasets".</p> <p>Link to the artifact and paper: https://github.com/ucd-plse/On-the-Reproducibility</p> <p>Link to the Docker image on Docker Hub: https://hub.docker.com/r/ucdavisplse/reproducibility</p> <p> </p> <p> </p>
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