Abstract
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.
Original language | English |
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Title of host publication | Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering, EASE 2017 |
Publisher | Association for Computing Machinery |
Pages | 224-229 |
Number of pages | 6 |
Volume | Part F128635 |
ISBN (Electronic) | 9781450348041 |
DOIs | |
Publication status | Published - 15 Jun 2017 |
Externally published | Yes |
Event | 21st International Conference on Evaluation and Assessment in Software Engineering, EASE 2017 - Karlskrona, Sweden Duration: 15 Jun 2017 → 16 Jun 2017 |
Conference
Conference | 21st International Conference on Evaluation and Assessment in Software Engineering, EASE 2017 |
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Country | Sweden |
City | Karlskrona |
Period | 15/06/2017 → 16/06/2017 |
Keywords
- Anti-patterns
- Challenges
- Empirical study
- Industry-academia collaborations
- Patterns
- Research
- Software engineering
- Success factors
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Software