Scania is a world-leading provider of transport solutions. Together with our partners and customers we are driving the shift towards a sustainable transport system. In 2017, we delivered 82 500 trucks, 8 300 buses as well as 8 500 industrial and marine engines to our customers. Net sales totalled nearly SEK 120 billion, of which about 20 percent were services-related. Founded in 1891, Scania now operates in more than 100 countries and employs some 49 000 people. Research and development are concentrated in Sweden, with branches in Brazil and India. Production takes place in Europe, Latin America and Asia, with regional production centres in Africa, Asia and Eurasia. Scania is part of Traton Group. For more information visit www.scania.com.
Scania is now undergoing a transformation from being a supplier of trucks, buses and engines to a supplier of complete and sustainable transport solutions.
Thesis project at Scania is an excellent way of making contacts for your future working life. Many of our current employees started their career with a thesis project.
Engine management systems involve complex software architectures with highly configurable modules. Modules dependencies are created through signal that are used to communicate. These signals have a number of properties, including a status indicating the quality of the signal. A degraded signal has impact on the quality of downstream signals. Therefore, understanding the signal dependencies is critical to understanding the overall software behavior.
Map signal status propagation between modules and degradation actions into an inhibit matrix.
What should be investigated in the thesis project
Use known signal dependencies and create a labelled property graph of signal flow. Add signal status propagation information to the signal flow. Generate an adjacency matrix for with module degradations and signal status.
Master of Science in Computer Science or Engineering.
Knowledge of programming (C, C++ or Java) and knowledge of graphs.
Number of students: 1-2
Start date: 2019
Estimated time needed: 20 weeks
Contact persons and supervisors:
Hasan Derhamy, EMS Software Architect, 08 553 716 34
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