Stammdaten

Titel: Can I Depend on you? Mapping the Dependency and Quality Landscape of ROS Packages
Untertitel:
Kurzfassung:

Since its beginnings ten years ago, the Robot Operating System (ROS) has created huge community of developers and researchers and is now the most widespread open-source framework for robotics development. It is used in research, prototyping but also in commercial products and supports a wide range of robotic platforms, sensors and highlevel data processing functions. While for a research platform, quality of the software developed with it is typically of lower importance, ROS is gradually moving towards industrial applications making software quality a premier topic. In this paper, we want to gain insights on how ROS is used in practice, how high the quality of the ROS packages and applications is, and where potential pitfalls in the use of ROS lie. To achieve this, we have analyzed several thousands of open-source ROS packages found on GitHub and Bitbucket for their quality and their interdependencies. Our results include packages on the rosdistro index and, more importantly, packages that are not. From our results we show common issues in ROS-applications, quality implications, and also which packages of what quality are particularly popular.

Schlagworte:
Publikationstyp: Beitrag in Proceedings (Autorenschaft)
Art der Veröffentlichung Online Publikation
Erschienen in: 2019 Third IEEE International Conference on Robotic Computing (IRC)
2019 Third IEEE International Conference on Robotic Computing (IRC)
zur Publikation
 ( )
Erscheinungsdatum: 02.2019
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 78 - 85

Identifikatoren

ISBN:
  • 978-1-5386-9245-5
ISSN: -
DOI: http://dx.doi.org/10.1109/IRC.2019.00020
AC-Nummer: -
Homepage: https://ieeexplore.ieee.org/document/8675680/metrics#metrics
Open Access
  • Online verfügbar (nicht Open Access)

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Informatik-Systeme
Universitätsstr. 65-67
A-9020 Klagenfurt
Österreich
  -993503
   kerstin.smounig@aau.at
https://www.aau.at/isys/
zur Organisation
Universitätsstr. 65-67
AT - A-9020  Klagenfurt

Kategorisierung

Sachgebiete
  • 102022 - Softwareentwicklung
Forschungscluster Kein Forschungscluster ausgewählt
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: II)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Software Engineering Research Group

Kooperationen

Organisation Adresse
Joanneum Research
9020 Klagenfurt
Österreich - Kärnten
AT - 9020  Klagenfurt

Beiträge der Publikation

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