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Enablers and impediments for collaborative research in software testing: An empirical exploration
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-2416-4205
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-8009-9052
2014 (English)In: WISE 2014 - Proceedings of the 2014 ACM International Workshop on Long-Term Industrial Collaboration on Software Engineering, Co-located with ASE 2014, 2014, 49-54 p.Conference paper, Published paper (Refereed)
Abstract [en]

When it comes to industrial organizations, current collaboration efforts in software engineering research are very often kept in-house, depriving these organizations off the skills necessary to build independent collaborative research. The current trend, towards empirical software engineering research, requires certain standards to be established which would guide these collaborative efforts in creating a strong partnership that promote independent, evidence-based, software engineering research. This paper examines key enabling factors for an effcient and effective industry-academia collaboration in the software testing domain. A major finding of the research was that while technology is a strong enabler to better collaboration, it must be complemented with industrial openness to disclose research results and the use of a dedicated tooling platform. We use as an example an automated test generation approach that has been developed in the last two years collaboratively with Bombardier Transportation AB in Sweden.

Place, publisher, year, edition, pages
2014. 49-54 p.
Series
WISE 2014 - Proceedings of the 2014 ACM International Workshop on Long-Term Industrial Collaboration on Software Engineering, Co-located with ASE 2014
Keyword [en]
Engineering research, Industrial research, Software engineering, Standards, Automated test generations, Bombardier Transportation, Collaboration efforts, Collaborative research, Empirical Software Engineering, Evidence-based, Industrial organization, Research results, Software testing
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-26658DOI: 10.1145/2647648.2647655Scopus ID: 2-s2.0-84908637312ISBN: 9781450330459 (print)OAI: oai:DiVA.org:mdh-26658DiVA: diva2:766772
Conference
2014 ACM International Workshop on Long-Term Industrial Collaboration on Software Engineering, WISE 2014 - Co-located with ASE 2014, 16 September 2014 through 16 September 2014
Available from: 2014-11-28 Created: 2014-11-28 Last updated: 2014-11-28Bibliographically approved

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Enoiu, Eduard PaulČaušević, Adnan
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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