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https://doi.org/10.1109/lra.20...
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Try to Start It! The Challenge of Reusing Code in Robotics Research

Authors: Enric Cervera;

Try to Start It! The Challenge of Reusing Code in Robotics Research

Abstract

This letter reviews the source code published with the papers of a flagship robotics research conference, 2017 International Conference on Robotics and Automation. The aim is to investigate whether the code is actually useful, i.e., can be reused by an interested reader without much effort. The interest is twofold: for one side, it makes possible to replicate and validate the results of the research; for another side, it facilitates new progress on the field, since researchers can build new systems on top of existing work. Unfortunately, reusing code is not as straightforward as it could seem, and there is a need for tools that alleviate the effort for integrating someone else's code into the own user's system. We propose the use of Docker, a Linux container technology, to turn the source code repositories into executable images, that can be run and tested locally, in an isolated environment, without the need of a costly integration with the host system.

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Keywords

software, middleware and programming environments, virtualisation, Linux, cloud computing, robots, software engineering

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selected citations
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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.
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