Please use this identifier to cite or link to this item:
Title: DockerPedia: A Knowledge Graph of Software Images and Their Metadata
Authors: Osorio, Maximiliano
Buil-Aranda, Carlos
Santana Pérez, Idafen 
Garijo, Daniel
UNESCO Clasification: 32 Ciencias médicas
3314 Tecnología médica
1203 Ciencia de los ordenadores
Keywords: Docker
Experiment Reproducibility
Knowledge Graph
Software Container, et al
Issue Date: 2022
Journal: International Journal of Software Engineering and Knowledge Engineering 
Abstract: An increasing amount of researchers use software images to capture the requirements and code dependencies needed to carry out computational experiments. Software images preserve the computational environment required to execute a scientific experiment and have become a crucial asset for reproducibility. However, software images are usually not properly documented and described, making it challenging for scientists to find, reuse and understand them. In this paper, we propose a framework for automatically describing software images in a machine-readable manner by (I) creating a vocabulary to describe software images; (II) developing an annotation framework designed to automatically document the underlying environment of software images and (III) creating DockerPedia, a Knowledge Graph with over 150,000 annotated software images, automatically described using our framework. We illustrate the usefulness of our approach in finding images with specific software dependencies, comparing similar software images, addressing versioning problems when running computational experiments; and flagging problems with vulnerable software dependencies.
ISSN: 0218-1940
DOI: 10.1142/S0218194022500036
Source: International Journal of Software Engineering and Knowledge Engineering [ISSN 0218-1940], v. 32 (1), p. 71-89, (Enero 2022)
Appears in Collections:Artículos
Show full item record

Google ScholarTM




Export metadata

Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.