A taxonomy for improving industry-academia communication in IoT vulnerability management

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding


Background: In software engineering, industry-academia is a symbiotic relationship. Researchers need to be aware of the industry to produce relevant research, while practitioners are educated in academia and could take advantage of empirical research. The SERP taxonomy architecture is designed to support communication between practitioners and researchers in software engineering.
Objective: The purpose of this study is to analyze to what extent the SERP taxonomy architecture is useful for improving communication between researchers and practitioners in IoT vulnerability management.
Method: We developed a SERP taxonomy for IoT vulerability management, SERP-MENTION, in an incremental way.
Along the development, we evaluated the developed taxonomy in a project of industry academia collaboration.
Results: In addition to the taxonomy itself we elaborate on the taxonomy development process and the potential of SERP-MENTION to support communication between researchers and practitioners within the area.
Conclusion: The SERP architecture can be used in a new field, it is perceived as useful by potential users to better describe and communicate research outputs and practical challenges in software vulnerability management.


Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Computer Systems


  • industry-academia communication, taxonomy, Information Security, IoT
Original languageEnglish
Title of host publication2019 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)
Publication statusPublished - 2019 Aug 27
Publication categoryResearch
EventEuromicro Conference on Software Engineering and Advanced Applications (SEAA) - Kallithea-Chalkidik, Greece
Duration: 2019 Aug 282019 Aug 30


ConferenceEuromicro Conference on Software Engineering and Advanced Applications (SEAA)

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Related projects

Martin Höst & Martin Hell

Swedish Government Agency for Innovation Systems (Vinnova)


Project: Research

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