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Contextualizing research evidence through knowledge translation in software engineering
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
2019 (engelsk)Inngår i: ACM International Conference Proceeding Series, Association for Computing Machinery , 2019, s. 306-311Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Usage of software engineering research in industrial practice is a well-known challenge. Synthesis of knowledge from multiple research studies is needed to provide evidence-based decision-support for industry. The objective of this paper is to present a vision of how a knowledge translation framework may look like in software engineering research, in particular how to translate research evidence into practice by combining contextualized expert opinions with research evidence. We adopted the framework of knowledge translation from health care research, adapted and combined it with a Bayesian synthesis method. The framework provided in this paper includes a description of each step of knowledge translation in software engineering. Knowledge translation using Bayesian synthesis intends to provide a systematic approach towards contextualized, collaborative and consensus-driven application of research results. In conclusion, this paper contributes towards the application of knowledge translation in software engineering through the presented framework. © 2019 Association for Computing Machinery.

sted, utgiver, år, opplag, sider
Association for Computing Machinery , 2019. s. 306-311
Emneord [en]
Bayesian synthesis, Decision-making, Knowledge translation, Application programs, Decision making, Decision support systems, Industrial research, Bayesian, Evidence- based decisions, Expert opinion, Industrial practices, Multiple research, Research results, Synthesis method, Engineering research
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Identifikatorer
URN: urn:nbn:se:bth-17891DOI: 10.1145/3319008.3319358Scopus ID: 2-s2.0-85064754769ISBN: 9781450371452 (tryckt)OAI: oai:DiVA.org:bth-17891DiVA, id: diva2:1316772
Konferanse
23rd Evaluation and Assessment in Software Engineering Conference, EASE Copenhagen, 14 April 2019 through 17 April 2019
Tilgjengelig fra: 2019-05-21 Laget: 2019-05-21 Sist oppdatert: 2019-05-21bibliografisk kontrollert

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