The mission of the CSE Division is to provide education and research in all relevant aspects of Computer Science and Software Engineering for industrial and embedded systems. To establish world class education and research in this utterly complex area extensive collaboration with industry is required. The goal is to strengthen and secure the Computer Science and Software Engineering part of the education, and to provide scientifically well founded methods and theories for the application areas. Our research is directed to increase the knowledge of software engineering and in particular of industrial software engineering, real-time and embedded systems component-based software engineering, dependable systems, from both theoretical and practical points of view. The research results of the CSE is supposed to be used both at the university and in the industry. At the university, the accumulated knowledge is used for further education in order to prepare the students for new aspects in system development. The industry will benefit with direct implementation of methods and knowledge built up in the research activities and well educated students.
Requirement or not, that is the question: A case from the railway industry (Apr 2023) Sarmad Bashir, Muhammad Abbas, Mehrdad Saadatmand , Eduard Paul Enoiu, Markus Bohlin, Pernilla Lindberg Requirements Engineering: Foundation for Software Quality (REFSQ 2023)
Making Sense of Failure Logs in an Industrial DevOps Environment (Apr 2023) Muhammad Abbas, Ali Hamayouni , Mahshid Helali Moghadam, Mehrdad Saadatmand , Per Erik Strandberg 20th International Conference on Information Technology : New Generations (ITNG 2023)
PyLC: A Framework for Transforming and Validating PLC Software using Python and Pynguin Test Generator (Apr 2023) Mikael Ebrahimi Salari, Eduard Paul Enoiu, Wasif Afzal, Cristina Seceleanu SAC2023, The 38th ACM/SIGAPP Symposium On Applied Computing (SAC 2023)
A Systematic Literature Review on Multimodal Machine Learning: Applications, Challenges, Gaps and Future Directions (Mar 2023) Arnab Barua, Mobyen Uddin Ahmed, Shahina Begum Journal of IEEE Access (IEEE-Access)
Quantitative Performance Analysis of Machine Learning Model from Discrete Perspective: A CaseStudy of Chip Detection in Turning Process (Mar 2023) Sharmin Sultana Sheuly, Mobyen Uddin Ahmed, Shahina Begum 15th International Conference on Agents and Artificial Intelligence (ICAART2023)
Towards supporting malleable architecture models (Mar 2023) Robbert Jongeling, Federico Ciccozzi IEEE International Conference on Software Architecture Companion Proceedings (MDE4SA@ICSA 2023)