David Budgen david.budgen@durham.ac.uk
Emeritus Professor
Context: For the outcomes of systematic literature reviews to be of use for practitioners, we need to develop models for addressing the needs of Knowledge Translation (KT). Aim: To identify some of the key issues that need to be addressed by a KT process for software engineering (SE) and possible routes for achieving these. Method: We have examined some of the models used in other disciplines, and suggested a possible interpretation for software engineering. Results: We propose a model for achieving KT. Conclusions: Research with industry and commerce is needed to explore how this can be realised. © 2013 IEEE.
Budgen, D., Kitchenham, B., & Brereton, P. (2013, June). The case for knowledge translation. Presented at International Symposium on Empirical Software Engineering and Measurement, Baltimore, USA
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | International Symposium on Empirical Software Engineering and Measurement |
Start Date | Jun 1, 2013 |
Publication Date | Dec 1, 2013 |
Deposit Date | Feb 22, 2025 |
Print ISSN | 1949-3770 |
Electronic ISSN | 1949-3789 |
Peer Reviewed | Peer Reviewed |
Pages | 263-266 |
Book Title | 2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement |
DOI | https://doi.org/10.1109/ESEM.2013.41 |
Public URL | https://durham-repository.worktribe.com/output/3500613 |
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