Information Fusion Research Program
Distributed Real-Time Systems Research Group
Distributed real-time systems, real-time databases, active real-time databases, distributed databases, operating systems, information fusion
Distributed Real-Time Systems
Masters Dissertation
Ph.D. Courses
Sten F. Andler, Ph. D., Computer Science, Carnegie-Mellon University & Chalmers 1979. Professor of Computer Science; Program Manager for the Information Fusion Research program; Dean of Research 1998 - 2000. Previous affiliation IBM Software Solutions, San Jose, CA, 1992 - 1993, IBM Almaden Research Center, San Jose, CA, 1979 - 1992. Group leader for Distributed Real-Time Systems (DRTS) research group.
Realtidssystem
Distribuerade system
Distribuerade realtidssystem
FoFUR - Forskarutbildning
Forskningsprofil inom informationsfusion
Software testing, verification & reliability
2023. Article, review. https://doi.org/10.1002/stvr.1860
ISIF Perspectives on Information Fusion
2022. Article.
European transactions on telecommunications
2020. Article. https://doi.org/10.1002/ett.3862
2018. Report.
2018. Report.
2018 IEEE International Conference on Software Quality, Reliability and Security (QRS)
2018. Conference paper. https://doi.org/10.1109/QRS.2018.00058
2018 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)
2018. Conference paper. https://doi.org/10.1109/ICSTW.2018.00030
The International Conference on Critical Information Infrastructures Security, CRITIS 2017, Lucca, Italy, October 8-13, 2017
2017. Conference paper, poster.
Performance Evaluation Review
2017. Article. https://doi.org/10.1145/3152042.3152080
The project evaluates the practical usability of the tools developed in the EU ISF project ELVIRA to assess the vulnerability of IT systems for critical infrastructure, particularly power grids. The evaluation will be conducted in collaboration with medium-sized electricity grid companies.
March 2020 - June 2020 InformaticsCutting-edge Internet of Things (IoT) devices are increasingly deployed in urban environments creating new data streams, which could be exploited to deliver novel cloud-based services. Connected vehicles and road-infrastructure data are leveraged in this project to alleviate parking and induced traffic-congestion issues. The proposed SmartPark algorithm maximizing parking availability prediction, while minimizing the journey duration to the selected parking lot.
December 2018 - December 2019 InformaticsTOCSYC is a research environment that combines four Swedish groups in software testing research to advance the knowledge of testing critical characteristics of complex embedded systems. The characteristics that TOCSYC address are performance efficiency, robustness and testability.
September 2013 - August 2018 InformaticsModel based development is used to increase software quality and software development productivity. Models are created at a platform independent level and then transformed to platform specific models by the use of a model compiler using the same principles as when source code is compiled into assembler.
September 2013 - March 2016 Informatics