ITS ESS-H Industrial Graduate School in Reliable Embedded Sensor Systems
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The research field of the Graduate School ITS ESS-H is reliable embedded sensor systems. The area of reliable embedded sensor systems is rapidly developing, and there is a strong pull from users for advanced intelligent sensor systems in many application areas, often in safety-related applications. One application area is health applications, where the systems should help to strengthen or sustain the health of humans. Another area is reliable industrial applications. There are strong synergy effects between different applications areas focusing on reliable embedded sensor systems. This means that results produced within one application area are likely to be applicable also in other application areas. The development of reliable embedded sensor systems means business opportunities, but also a need for competence enhancement in this area. From a scientific point of view, this means that the ITS ESS-H graduate school will contribute to important application areas where the aims are to improve human health and minimize human suffering, and to provide reliable sensor systems for industrial use, also in safety-critical applications.
Decision Making and Visualizations Based on Test Results (Oct 2018) Per Erik Strandberg, Wasif Afzal, Daniel Sundmark Empirical Software Engineering and Measurement, 12th International Symposium on (ESEM18)
Towards a More Reliable Store-and-forward Protocol for Mobile Text Messages (Jul 2018) Daniel Brahneborg, Wasif Afzal, Adnan Causevic, Mats Björkman 1st International Workshop on Advanced tools, programming languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems, co-located with ACM Symposium on Principles of Distributed Computing (PODC 2018) (ApPLIED 2018)
Automated Test Mapping and Coverage for Network Topologies (Jul 2018) Per Erik Strandberg, Thomas Ostrand, Elaine Weyuker, Daniel Sundmark, Wasif Afzal International Symposium on Software Testing and Analysis (ISSTA'18)
Round-Trip Time Anomaly Detection (Apr 2018) Daniel Brahneborg, Wasif Afzal, Adnan Causevic, Daniel Sundmark, Mats Björkman International Conference on Performance Engineering (ICPE'18)
Custom simulation of Industrial Wireless Sensor and Actuator Network for improved efficiency during Research and Development (Sep 2017) Niclas Ericsson , Tomas Lennvall, Johan Åkerberg, Mats Björkman International Conference on Emerging Technologies And Factory Automation (ETFA'17)
Automated System Level Regression Test Prioritization in a Nutshell (Apr 2017) Per Erik Strandberg, Wasif Afzal, Thomas Ostrand, Elaine Weyuker, Daniel Sundmark IEEE Software 2017 (IEEE Software)
