Industry-academia collaborations in software engineering: An empirical analysis of challenges, patterns and anti-patterns in research projects

Vahid Garousi, Michael Felderer, João M. Fernandes, Dietmar Pfahl, Mika V. Mäntylä

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)
6 Downloads (Pure)

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 languageEnglish
Title of host publicationProceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering, EASE 2017
PublisherAssociation for Computing Machinery
Pages224-229
Number of pages6
VolumePart F128635
ISBN (Electronic)9781450348041
DOIs
Publication statusPublished - 15 Jun 2017
Externally publishedYes
Event21st International Conference on Evaluation and Assessment in Software Engineering, EASE 2017 - Karlskrona, Sweden
Duration: 15 Jun 201716 Jun 2017

Conference

Conference21st International Conference on Evaluation and Assessment in Software Engineering, EASE 2017
CountrySweden
CityKarlskrona
Period15/06/201716/06/2017

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

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