Bernhard Aichernig

About Bernhard Aichernig

Bernhard Aichernig, With an exceptional h-index of 30 and a recent h-index of 17 (since 2020), a distinguished researcher at Technische Universität Graz, specializes in the field of Formal Methods, Software Testing, Model-based Testing, Mutation Testing, Automata Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Active model learning of stochastic reactive systems (extended version)

Learning minimal automata with recurrent neural networks

Benchmarking Combinations of Learning and Testing Algorithms for Automata Learning

Learning and Repair of Deep Reinforcement Learning Policies from Fuzz-Testing Data

It's Not a Feature, It's a Bug: Fault-Tolerant Model Mining from Noisy Data

A framework for embedded software portability and verification: from formal models to low-level code

Reinforcement learning under partial observability guided by learned environment models

Differential safety testing of deep RL agents enabled by automata learning

Bernhard Aichernig Information

University

Position

Graz Univ. of Technology ()

Citations(all)

2757

Citations(since 2020)

1081

Cited By

2109

hIndex(all)

30

hIndex(since 2020)

17

i10Index(all)

84

i10Index(since 2020)

34

Email

University Profile Page

Google Scholar

Bernhard Aichernig Skills & Research Interests

Formal Methods

Software Testing

Model-based Testing

Mutation Testing

Automata Learning

Top articles of Bernhard Aichernig

Active model learning of stochastic reactive systems (extended version)

2021/12/3

Learning minimal automata with recurrent neural networks

Software and Systems Modeling

2024/3/21

Benchmarking Combinations of Learning and Testing Algorithms for Automata Learning

Formal Aspects of Computing

2024/3/20

Learning and Repair of Deep Reinforcement Learning Policies from Fuzz-Testing Data

2024/2/6

It's Not a Feature, It's a Bug: Fault-Tolerant Model Mining from Noisy Data

2024/2/6

A framework for embedded software portability and verification: from formal models to low-level code

Software and Systems Modeling

2024/2/1

Bernhard Aichernig
Bernhard Aichernig

H-Index: 16

Marcel Baunach
Marcel Baunach

H-Index: 5

Reinforcement learning under partial observability guided by learned environment models

2023/11/6

Differential safety testing of deep RL agents enabled by automata learning

2023/10/23

Testing-based Black-box Extraction of Simple Models from RNNs and Transformers

2023/7/5

Learning Environment Models with Continuous Stochastic Dynamics

arXiv preprint arXiv:2306.17204

2023/6/29

On the Relationship Between RNN Hidden State Vectors and Semantic Ground Truth

arXiv preprint arXiv:2306.16854

2023/6/29

Mining Digital Twins of a VPN Server

2023/3

AI-assisted programming with test-based refinement

AISoLA

2023

Dependable Internet of Future Products

2023

Bernhard Aichernig
Bernhard Aichernig

H-Index: 16

Klaus Witrisal
Klaus Witrisal

H-Index: 22

Search-based testing of reinforcement learning

arXiv preprint arXiv:2205.04887

2022/5/7

Learning Finite State Models from Recurrent Neural Networks

2022

Constrained Training of Recurrent Neural Networks for Automata Learning

2022

Active vs. Passive: A Comparison of Automata Learning Paradigms for Network Protocols

2022/9

AALpy: an active automata learning library

2021/10/18

See List of Professors in Bernhard Aichernig University(Technische Universität Graz)

Co-Authors

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