System disruptions
We are currently experiencing disruptions on the search portals due to high traffic. We are working to resolve the issue, you may temporarily encounter an error message.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Revisiting the construct and assessment of industrial relevance in software engineering research
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0002-1532-8223
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0003-0639-4234
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0001-7266-5632
Lund University.
2024 (English)In: Proceedings - 2024 IEEE/ACM International Workshop on Methodological Issues with Empirical Studies in Software Engineering, WSESE 2024, Association for Computing Machinery (ACM), 2024, p. 17-20Conference paper, Published paper (Refereed)
Abstract [en]

Industrial relevance is essential for an applied research area like software engineering. However, it is unclear how to achieve industrial relevance and how we communicate and assess it. We propose a reasoning framework to support the design, reporting, and assessment of research for industrial relevance. © 2024 Copyright is held by the owner/author(s). Publication rights licensed to ACM.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2024. p. 17-20
Keywords [en]
Engineering research, Applied research, Reasoning framework, Research areas, Software engineering research, Industrial research
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-26912DOI: 10.1145/3643664.3648205ISI: 001293147200004Scopus ID: 2-s2.0-85203105590ISBN: 9798400705670 (print)OAI: oai:DiVA.org:bth-26912DiVA, id: diva2:1897875
Conference
1st International Workshop on Methodological Issues with Empirical Studies in Software Engineering, WSESE 2024, Lisbon, April 16, 2024
Part of project
GIST – Gaining actionable Insights from Software Testing, Knowledge Foundation
Funder
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsKnowledge Foundation, 20220235Available from: 2024-09-16 Created: 2024-09-16 Last updated: 2024-10-03Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Petersen, KaiBörstler, JürgenAli, Nauman bin

Search in DiVA

By author/editor
Petersen, KaiBörstler, JürgenAli, Nauman bin
By organisation
Department of Software Engineering
Software Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 33 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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