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
Solving Problems or Enabling Problem-Solving?: from Purity in Empirical Software Engineering to Effective Co-production (Invited Keynote)
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0002-3646-235x
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0003-0619-6027
2021 (English)In: Software Quality: Future Perspectives on Software Engineering Quality / [ed] Winkler D., Biffl S., Mendez D., Wimmer M., Bergsmann J., Springer Science and Business Media Deutschland GmbH , 2021, p. 109-116Conference paper, Published paper (Refereed)
Abstract [en]

Studying and collaborating with any software-intensive organization demands for excellence in empirical software engineering research. The ever-growing complexity and context-dependency of software products, however, demands for more pragmatic and solution-focused research. This is a great opportunity but it also conflicts with the traditional quest for “purity” in research and a very narrow focus of the work. In this short positioning, we elaborate on challenges which emerge from academia-industry collaborations and discuss touch upon pragmatic ways of approaching them along the co-production model which emerged from SERL Sweden. © 2021, Springer Nature Switzerland AG.

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2021. p. 109-116
Series
Lecture Notes in Business Information Processing, E-ISSN 1865-1356 ; 404
Keywords [en]
Computer software selection and evaluation, Co-production, Context dependency, Empirical Software Engineering, Industry collaboration, Software products, Engineering research
National Category
Software Engineering Computer Sciences
Identifiers
URN: urn:nbn:se:bth-22341DOI: 10.1007/978-3-030-65854-0_9ISI: 000884348300009Scopus ID: 2-s2.0-85101581044ISBN: 9783030658533 OAI: oai:DiVA.org:bth-22341DiVA, id: diva2:1610519
Conference
13th Software Quality Days Conference, SWQD 2021, Vienna, 19 January through 21 January
Available from: 2021-11-11 Created: 2021-11-11 Last updated: 2022-12-01Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Gorschek, TonyMendez, Daniel

Search in DiVA

By author/editor
Gorschek, TonyMendez, Daniel
By organisation
Department of Software Engineering
Software EngineeringComputer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 6 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