Per is from Västerås and worked for more than a decade with software development, software testing, test leading and test automation in the domains of embedded, rail, nuclear, web and mathematics software, before starting as an industrial doctoral student in 2017.
He received a master's degree (Fil. Mag.) in applied mathematics from Linköping University 2004, and another master's degree (Civ. Ing.) in bioinformatics in 2005, also from Linköping University.
When Per worked as a consultant he led a competence network in software testing for five years. At this time he received a number of industrial certifications, as a tester and as a requirements professional:
YouTube video where I present Intermittently Failing Tests in the Embedded Systems Domain
YouTube video where I present Ethical AI-Powered Regression Test Selection
YouTube video where I present Ethical Interviews in Software Engineering
YouTube video where I present Information Flow In Software Testing
YouTube video on Software Quality Assurance at Westermo (featuring me and my colleague Petra)
More about Westermo
Per is an industrial doctoral student in the Software Testing Laboratory from Westermo Research and Development AB. His research focus is on system-level software test automation of embedded systems.
Testing embedded systems at a system level is a complex process and there is a need for test selection, considering hardware coverage, as well as test results communication, test results exploration and test results visualizations.
Experiences and Challenges from Developing Cyber-Physical Systems in Industry-Academia Collaboration (Apr 2024) Johan Cederbladh, Romina Eramo , Vittoriano Muttillo , Per Erik Strandberg Wiley, Software: Practice and Experience (SPE)
Resource Constrained Test Case Prioritization with Simulated Annealing in an Industrial Context (Jan 2024) Eric Felding, Per Erik Strandberg, Nils-Hassan Quttineh , Wasif Afzal The 39th ACM/SIGAPP Symposium On Applied Computing (SAC'24)
Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment (Dec 2023) Alireza Dehlaghi Ghadim, Tijana Markovic, Miguel Leon Ortiz, David Söderman , Per Erik Strandberg International Conference on Machine Learning and Applications 23 (ICMLA'23)
The Westermo network traffic data set (Oct 2023) Per Erik Strandberg, David Söderman , Alireza Dehlaghi Ghadim, Miquel A. Ribot , Tijana Markovic, Sasikumar Punnekkat, David Buffoni Data In Brief 23 (DIB 23)
Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment (Aug 2023) Alireza Dehlaghi Ghadim, Tijana Markovic, Per Erik Strandberg, David Söderman , Miguel Leon Ortiz International Conference on Machine Learning and Applications 23 (ICMLA'23)
Making Sense of Failure Logs in an Industrial DevOps Environment (Feb 2023) Muhammad Abbas, Ali Hamayouni , Mahshid Helali Moghadam, Mehrdad Saadatmand , Per Erik Strandberg 20th International Conference on Information Technology : New Generations (ITNG 2023)
|ITS ESS-H Industrial Graduate School in Reliable Embedded Sensor Systems