Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Engineering the software of robotic systems
Show others and affiliations
2017 (English)In: Proceedings - 2017 IEEE/ACM 39th International Conference on Software Engineering Companion, ICSE-C 2017, Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 507-508, article id 7965406Conference paper, Published paper (Refereed)
Abstract [en]

The production of software for robotic systems is often case-specific, without fully following established engineering approaches. Systematic approaches, methods, models, and tools are pivotal for the creation of robotic systems for real-world applications and turn-key solutions. Well-defined (software) engineering approaches are considered the 'make or break' factor in the development of complex robotic systems. The shift towards well-defined engineering approaches will stimulate component supply-chains and significantly reshape the robotics marketplace. The goal of this technical briefing is to provide an overview on the state of the art and practice concerning solutions and open challenges in the engineering of software required to develop and manage robotic systems. Model-Driven Engineering (MDE) is discussed as a promising technology to raise the level of abstraction, promote reuse, facilitate integration, boost automation and promote early analysis in such a complex domain.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 507-508, article id 7965406
Keywords [en]
Model-Driven Engineering, Robotics, Software Engineering
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:kth:diva-212454DOI: 10.1109/ICSE-C.2017.167ISI: 000425916900164Scopus ID: 2-s2.0-85026768493ISBN: 9781538615898 (print)OAI: oai:DiVA.org:kth-212454DiVA, id: diva2:1135580
Conference
39th IEEE/ACM International Conference on Software Engineering Companion, ICSE-C 2017, Buenos Aires, Argentina, 20 May 2017 through 28 May 2017
Note

QC 20170823

Available from: 2017-08-23 Created: 2017-08-23 Last updated: 2018-03-09Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Tumova, Jana
By organisation
Robotics, perception and learning, RPL
Other Engineering and Technologies

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 15 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf