Software engineering research on the Robot Operating System: A systematic mapping study

Michel Albonico, Milica Đorđević, Engel Hamer, Ivano Malavolta*

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

The Robot Operating System (ROS) has become the de-facto standard framework for robotics software, and a great part of commercial robots is expected to have at least one ROS package on board in the coming years. For good quality, robotics software should rely on strong software engineering principles. In this paper, we perform a systematic mapping study on several works in software engineering on ROS, published at the top software engineering and robotics venues. Our goal is to analyze and evaluate such state-of-the-art regarding its relevance to the robotics software industry. The potentially-relevant studies are subject to a rigorously defined selection process. This results in a set of 63 primary studies on software engineering research on ROS. Those primary studies are then qualitatively analyzed according to a rigorously-defined classification framework. The results are of interest to both researchers and practitioners: (i) we provide an up-to-date overview of the state of the art on software engineering research on ROS and its potential for industrial adoption, (ii) a broad discussion of the research area as a whole, and (iii) point out routes of action for a better alignment between research and industry.

Original languageEnglish
Article number111574
Pages (from-to)1-28
Number of pages28
JournalJournal of Systems and Software
Volume197
Early online date2 Dec 2022
DOIs
Publication statusPublished - Mar 2023

Bibliographical note

Funding Information:
This research was partially funded by the Rijksdienst voor Ondernemend Nederland (RVO) through the ITEA3 BUMBLE project (18006), and the CNPQ/FA through the PPP-CP-20/2018 call.

Publisher Copyright:
© 2022 The Author(s)

Keywords

  • Robotic systems
  • ROS
  • Software engineering
  • Systematic mapping study

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