skip to main content
10.1145/2652524.2652552acmconferencesArticle/Chapter ViewAbstractPublication PagesesemConference Proceedingsconference-collections
research-article

Bridging the gap: SE technology transfer into practice: study design and preliminary results

Published:18 September 2014Publication History

ABSTRACT

Background: Particularly during and after research projects, technology transfer into practice plays an important role for academia to get technologies into use and for industry to improve their development. Objective: Our goal was to gain more and current knowledge about how technology transfer from software engineering (SE) research into industrial practice is accomplished best and how to measure the effectiveness of this transfer. Method: We conducted a study in the context of two German research projects, covering many different organizations from industry and academia. Results: This paper presents the design of the study and the survey performed. After introducing the concept of technology transfer we used and adapted, we present preliminary results. Conclusions: We observed that traditional means such as meetings or workshops are still the most widely used mediums for technology transfer in SE. We also discovered that, even though the duration of transfer depends on the object being transferred, the average duration is three years, which is far less than previously published (~18 years).

References

  1. Aoyama, M. 2006. Co-Evolutionary service-oriented model of technology transfer in software engineering. In Proc. of Workshop on TT '06. ACM, 3--8. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Berniker, E. 1991. Models of technology transfer (A dialectical case study). In Technology management: The new international language, 499--502.Google ScholarGoogle Scholar
  3. Bozeman, B. 2000. Technology transfer and public policy: a review of research and theory. In Research policy, vol.29 (4), 627--655.Google ScholarGoogle Scholar
  4. Diebold, P., Lampasona, C., Zverlov, S., and Voss, S. 2014. Practitioners' and researchers' expectations on design space exploration for multicore systems in the automotive and avionics domains - A survey. In Proc. of EASE'14. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Gorschek, T., Wohlin, C., Carre, P., and Larsson, S. 2006. A Model for Technology Transfer in Practice. In Software, IEEE, vol.23, no.6, 88--95. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Heuer, A., Diebold, P., and Bandyszak, T. 2014. Supporting Technology Transfer by Providing Recommendations for Writing Structured Guidelines. In Proc. of Workshops of SE'14. CEUR Workshop Proceedings, vol. 1129, 47--56.Google ScholarGoogle Scholar
  7. Pfleeger, S. L. 1999. Understanding and improving technology transfer in software engineering. In Journal of Systems and Software, vol. 47, no. 2--3, 111--124. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Redwine, S. T. and Riddle, W. E. 1985. Software Technology Maturation. In Proc. of the ICSE'85, IEEE Computer Soc., Los Alamitos, CA, USA, 189--200. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Reisman, A. 2005. Transfer of Technologies: A Cross-Disciplinary Taxonomy. In Omega, vol.33, 189--202.Google ScholarGoogle ScholarCross RefCross Ref
  10. Rombach, D. and Achatz, R. 2007. Research Collaborations between Academia and Industry. In Proc. of FOSE '07. IEEE Computer Soc., Washington, DC, USA, 29--36. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Teece, D. J. 1977. Technology transfer by multinational firms: The resource cost of transferring technological know-how. In Economics Journal, 242--261.Google ScholarGoogle Scholar
  12. Zelkowitz, M. V. 1996. Software engineering technology infusion within NASA. In IEEE Transactions on Engineering Management, vol.43, no.3, 250--261.Google ScholarGoogle ScholarCross RefCross Ref
  13. Bozeman, B., Fay, D., and Slade, C. 2013. Research collaboration in universities and academic entrepreneurship: the-state-of-the-art. In J. Technol Transf, vol. 38, no.1, 1--67.Google ScholarGoogle ScholarCross RefCross Ref
  14. Heiko Koziolek and Thomas Goldschmidt. 2014. Tool-driven technology transfer to support software architecture decisions. In Proc. of SE'14, Springer LNI, GI.Google ScholarGoogle Scholar

Index Terms

  1. Bridging the gap: SE technology transfer into practice: study design and preliminary results

                  Recommendations

                  Comments

                  Login options

                  Check if you have access through your login credentials or your institution to get full access on this article.

                  Sign in
                  • Published in

                    cover image ACM Conferences
                    ESEM '14: Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement
                    September 2014
                    461 pages
                    ISBN:9781450327749
                    DOI:10.1145/2652524

                    Copyright © 2014 ACM

                    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

                    Publisher

                    Association for Computing Machinery

                    New York, NY, United States

                    Publication History

                    • Published: 18 September 2014

                    Permissions

                    Request permissions about this article.

                    Request Permissions

                    Check for updates

                    Qualifiers

                    • research-article

                    Acceptance Rates

                    ESEM '14 Paper Acceptance Rate23of123submissions,19%Overall Acceptance Rate130of594submissions,22%

                  PDF Format

                  View or Download as a PDF file.

                  PDF

                  eReader

                  View online with eReader.

                  eReader