Abstract:
The ability to replicate and reproduce scientific results has become an increasingly important topic for many academic disciplines. In computer science and, more specific...Show MoreMetadata
Abstract:
The ability to replicate and reproduce scientific results has become an increasingly important topic for many academic disciplines. In computer science and, more specifically, software engineering, contributions of scientific work rely on developed algorithms, tools and prototypes, quantitative evaluations, and other computational analyses. Published code and data come with many undocumented assumptions, dependencies, and configurations that are internal knowledge and make reproducibility hard to achieve. This technical briefing presents how Docker containers can overcome these issues and aid the reproducibility of research artifacts in software engineering and discusses their applications in the field.
Published in: 2016 IEEE/ACM 38th International Conference on Software Engineering Companion (ICSE-C)
Date of Conference: 14-22 May 2016
Date Added to IEEE Xplore: 23 March 2017
ISBN Information:
Conference Location: Austin, TX, USA