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Industry-academia collaborations in software engineering: An empirical analysis of challenges, patterns and anti-patterns in research projects
Research collaboration between industry and academia supports improvement and innovation in industry and helps to ensure industrial relevance in academic research. However, many researchers and practitioners believe that the level of joint industry-academia collaboration (IAC) in software engineering (SE) research is still relatively low, compared to the amount of activity in each of the two communities. The goal of the empirical study reported in this paper is to exploratory characterize the state of IAC with respect to a set of challenges, patterns and anti-patterns identified by a recent Systematic Literature Review study. To address the above goal, we gathered the opinions of researchers and practitioners w.r.t. their experiences in IAC projects. Our dataset includes 47 opinion data points related to a large set of projects conducted in 10 different countries. We aim to contribute to the body of evidence in the area of IAC, for the benefit of researchers and practitioners in conducting future successful IAC projects in SE. As an output, the study presents a set of empirical findings and evidence-based recommendations to increase the success of IAC projects. ; Supported by the National Research Fund, Luxembourg FNR/P10/03. Supported by FCT (Fundação para a Ciˆencia e Tecnologia) within the Project Scope UID/CEC/00319/2013. ; info:eu-repo/semantics/publishedVersion
Industry-academia collaborations in software engineering: An empirical analysis of challenges, patterns and anti-patterns in research projects
Research collaboration between industry and academia supports improvement and innovation in industry and helps to ensure industrial relevance in academic research. However, many researchers and practitioners believe that the level of joint industry-academia collaboration (IAC) in software engineering (SE) research is still relatively low, compared to the amount of activity in each of the two communities. The goal of the empirical study reported in this paper is to exploratory characterize the state of IAC with respect to a set of challenges, patterns and anti-patterns identified by a recent Systematic Literature Review study. To address the above goal, we gathered the opinions of researchers and practitioners w.r.t. their experiences in IAC projects. Our dataset includes 47 opinion data points related to a large set of projects conducted in 10 different countries. We aim to contribute to the body of evidence in the area of IAC, for the benefit of researchers and practitioners in conducting future successful IAC projects in SE. As an output, the study presents a set of empirical findings and evidence-based recommendations to increase the success of IAC projects. ; Supported by the National Research Fund, Luxembourg FNR/P10/03. Supported by FCT (Fundação para a Ciˆencia e Tecnologia) within the Project Scope UID/CEC/00319/2013. ; info:eu-repo/semantics/publishedVersion
Industry-academia collaborations in software engineering: An empirical analysis of challenges, patterns and anti-patterns in research projects
Garousi, Vahid (Autor:in) / Felderer, Michael (Autor:in) / Fernandes, João M. (Autor:in) / Pfahl, Dietmar (Autor:in) / Mäntylä, Mika V. (Autor:in)
01.06.2017
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
DDC:
690
Characterizing industry-academia collaborations in software engineering: evidence from 101 projects
BASE | 2019
|Characterizing industry-academia collaborations in software engineering:evidence from 101 projects
BASE | 2019
|