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Most recent publications

H. Spieker

Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-Interaction

In International Joint Conference on Neural Networks (IJCNN), 2021.
Proceedings, refereed
2021
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A. Gotlieb, D. Marijan and H. Spieker

Testing Industrial Robotic Systems: A New Battlefield!

In Software Engineering for Robotics, 465p. Edited by A. Cavalcanti, B. Dongol, R. Hierons, J. Timmis, J. Woodcock ed. Springer Nature, 2021.
Book Chapter
2021
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P. Bernabé, H. Spieker, B. Legeard and A. Gotlieb

Encoding Temporal and Spatial Vessel Context using Self-Supervised Learning Model (Student Abstract)

In AAAI-21 Student Abstract and Poster Program, 2021.
Proceedings, refereed
2021
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M. Mossige, A. Gotlieb, H. Spieker, H. Meling and M. Carlsson

Time-aware Test Case Execution Scheduling for Cyber-Physical Systems

In Proceedings of Principles of Constraint Programming (CP'17). Springer, 2017.
Proceedings, refereed
2017
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Selected publications

H. Spieker and A. Gotlieb

Adaptive Metamorphic Testing with Contextual Bandits

Journal of Systems and Software 165 (2020).
Journal Article
2020
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H. Spieker, A. Gotlieb and M. Mossige

Rotational Diversity in Multi-Cycle Assignment Problems

In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-19). Vol. 33. AAAI, 2019.
Proceedings, refereed
2019
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H. Spieker, A. Gotlieb, D. Marijan and M. Mossige

Reinforcement Learning for Automatic Test Case Prioritization and Selection in Continuous Integration

In Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis. New York, NY, USA: ACM, 2017.
Proceedings, refereed
2017
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News

14 September 2020

Helge Spieker successfully defended his PhD

Background

PhD
Department of Informatics, University of Oslo
September 2020

Available Master's topics

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Export 6 results:
2021

Proceedings, refereed

P. Bernabé, H. Spieker, B. Legeard and A. Gotlieb

Encoding Temporal and Spatial Vessel Context using Self-Supervised Learning Model (Student Abstract)

In AAAI-21 Student Abstract and Poster Program, 2021.
Status: Published
H. Spieker

Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-Interaction

In International Joint Conference on Neural Networks (IJCNN), 2021.
Status: Accepted

Book chapters

A. Gotlieb, D. Marijan and H. Spieker

Testing Industrial Robotic Systems: A New Battlefield!

In Software Engineering for Robotics, 465p. Edited by A. Cavalcanti, B. Dongol, R. Hierons, J. Timmis, J. Woodcock ed. Springer Nature, 2021.
Status: Accepted
2017

Proceedings, refereed

M. Mossige, A. Gotlieb, H. Spieker, H. Meling and M. Carlsson

Time-aware Test Case Execution Scheduling for Cyber-Physical Systems

In Proceedings of Principles of Constraint Programming (CP'17). Springer, 2017.
Status: Published
H. Spieker, A. Gotlieb, D. Marijan and M. Mossige

Reinforcement Learning for Automatic Test Case Prioritization and Selection in Continuous Integration

In Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis. New York, NY, USA: ACM, 2017.
Status: Published
2015

Proceedings, refereed

H. Spieker, A. Hagg, A. Asteroth, S. Meilinger, V. Jacobs and A. Oslislo

Successive evolution of charging station placement

In 2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA). IEEE, 2015.
Status: Published