Search Results for author: Markus Bohlin

Found 2 papers, 1 papers with code

Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing

no code implementations22 Mar 2022 Mahshid Helali Moghadam, Markus Borg, Mehrdad Saadatmand, Seyed Jalaleddin Mousavirad, Markus Bohlin, Björn Lisper

This paper presents an extended version of Deeper, a search-based simulation-integrated test solution that generates failure-revealing test scenarios for testing a deep neural network-based lane-keeping system.

An Autonomous Performance Testing Framework using Self-Adaptive Fuzzy Reinforcement Learning

1 code implementation19 Aug 2019 Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg, Markus Bohlin, Björn Lisper

On the other hand, if the optimal performance testing policy for the intended objective in a testing process instead could be learned by the testing system, then test automation without advanced performance models could be possible.

reinforcement-learning Reinforcement Learning (RL) +1

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