WASP is very proud to have so many excellent researchers involved in the program. More than 450 researchers, reaching from assistant to senior professors, are affiliated with WASP. Some are international recruitments who have come to Sweden to join the WASP community, others are already well established in the Swedish academic system.
Through a series of portraits, you get the opportunity to get to know them a little bit better.
Meet Per Runeson
Per Runeson is a Professor of Software Engineering and the group leader of the Software Engineering Research Group (SERG) at the Department of Computer Science at Lund University. Professor Runeson joined WASP in 2016.
What is your position/role in WASP?
PhD student supervisor for one academic student, one industrial student and one affiliated student. Member of WASP Diversity and Inclusion Group (DIG), a group that works with diversity, inclusion, and gender equality within the program.
Why did you choose to join WASP?
It is a unique opportunity for funding of research of my interest. At the time of WASP’s initiation, I was Head of Department for Computer Science at Lund University, so I was also involved in that function.
What are the benefits you see in WASP?
Generous funding of industry relevant research on the excellence forefront, and contact network across industry and academia.
Briefly describe your research topic.
My interest is on engineering of software-intensive autonomous systems. Particularly I focus on two complementary aspects:
1. continuous testing, experimentation, and monitoring of software systems with various degree of autonomy. See for example:
- Licentiate thesis about testing of autonomous systems by my academic PhD student Qunying Song https://portal.research.lu.se/sv/publications/critical-scenario-identification-for-testing-of-autonomous-drivin
- PhD thesis about continuous experimentation by my academic PhD student Rasmus Ros https://portal.research.lu.se/sv/publications/understanding-and-improving-continuous-experimentation-from-ab-te
- Licentiate thesis about continuous monitoring by my industrial PhD student Adha Hrusto https://portal.research.lu.se/sv/publications/towards-optimization-of-anomaly-detection-using-autonomous-monito
2. open data ecosystems as a means to provide data for training of ML. See for example:
- Open Data Ecosystems — An empirical investigation into an emerging industry collaboration concept (https://portal.research.lu.se/sv/publications/open-data-ecosystems-an-empirical-investigation-into-an-emerging-)
In what way can your research be of importance to our society in the future?
It provides engineering and governance knowledge to companies and public actors on how to develop and maintain software systems, which in turn underpin most societal activities.
For more information about Professor Runeson, see https://cs.lth.se/per-runeson/
Published: September 2nd, 2022