Arnaud Gotlieb
Chief Research Scientist/Research ProfessorHead of Department
- Department
- Validation Intelligence for Autonomous Software Systems
- Organisation
- Simula Research Laboratory
- Research Interests
- Validation Intelligence of Autonomous Software Systems Software Testing Software Validation and Verification Artificial Intelligence: Constraint Programming, Applications of Machine Learning, Industrial Robotics
Publications
2024
Journal Articles
N. Belmecheri, A. Gotlieb, N. Lazaar and H. Spieker
Towards Trustworthy Automated Driving through Qualitative Scene Understanding and Explanations
SAE International Journal of Connected and Automated Vehicles
M. B. Belaid, N. Belmecheri, A. Gotlieb, N. Lazaar and H. Spieker
Query-driven Qualitative Constraint Acquisition
Journal of Artificial Intelligence Research (JAIR)
L. Lesoil, H. Spieker, A. Gotlieb, M. Acher, P. Temple, A. Blouin and J. Jézéquel
Learning Input-aware Performance Models of Configurable Systems: An Empirical Evaluation
Journal of Systems and Software
Proceedings, refereed
Q. Mazouni, H. Spieker, A. Gotlieb and M. Acher
Policy Testing with MDPFuzz (Replicability Study)
ISSTA 2024: Proceedings of the 33st ACM SIGSOFT International Symposium on Software Testing and Analysis
Q. Mazouni, H. Spieker, A. Gotlieb and M. Acher
Testing for Fault Diversity in Reinforcement Learning
AST '24: Proceedings of the 5th ACM/IEEE International Conference on Automation of Software Test (AST 2024)
H. Spieker, N. Belmecheri, A. Gotlieb and N. Lazaar
Evaluating Human Trajectory Prediction with Metamorphic Testing
MET 2024: Proceedings of the 9th ACM International Workshop on Metamorphic Testing
N. Belmecheri, A. Gotlieb, N. Lazaar and H. Spieker
Trustworthy Automated Driving through Qualitative Scene Understanding and Explanations
Transport Research Arena (TRA)
Talks, contributed
N. Belmecheri, A. Gotlieb, N. Lazaar and H. Spieker
Relevant Object Identification from Qualitative Explainable Graphs in Automated Driving
NORA Annual Conference
2023
Journal Articles
P. Bernabé, A. Gotlieb, B. Legeard, D. Marijan, F. O. Sem-Jacobsen and H. Spieker
Detecting Intentional AIS Shutdown in Open Sea Maritime Surveillance Using Self-Supervised Deep Learning
IEEE Transactions on Intelligent Transportation Systems
Proceedings, refereed
A. Gotlieb, M. Mossige and H. Spieker
Constraint-guided Test Execution Scheduling: An Experience Report at ABB Robotics
SAFECOMP2023 42nd International Conference on Computer Safety, Reliability and Security 19-22 September 2023, Toulouse, France
M. B. Belaid, N. Belmecheri, N. Lazaar, A. Gotlieb and H. Spieker
Approche générique pour l’acquisition de contraintes qualitatives
JFPC
G. Menguy, S. Bardin, N. Lazaar and A. Gotlieb
Active Disjunctive Constraint Acquisition
Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning — Main Track
Q. Mazouni, H. Spieker, A. Gotlieb and M. Acher
A Review of Validation and Verification of Neural Network-based Policies for Sequential Decision Making
Rencontres des Jeunes Chercheurs en Intelligence Artificielle
C. Braye, J. Clech, A. Gotlieb, N. Lazaar and P. Malléa
Towards Trustworthy-AI-by-Design Methodology for Intelligent Radiology Systems
Santé et IA séminaire' at PFIA 23, Strasbrourg, France. July 6
Technical reports
N. Belmecheri, A. Gotlieb, N. Lazaar and H. Spieker
Acquiring Qualitative Explainable Graphs for Automated Driving Scene Interpretation
2022
Proceedings, refereed
J. Clech, A. Gotlieb, F. Sève, F. Didout and P. Malléa
Méthodologie d’anonymisation dès la conception d’un jeu de données en imagerie médicale
Applications Pratiques de l'Intelligence Artificielle (APIA)
M. K. Ahuja, A. Gotlieb and H. Spieker
Testing Deep Learning Models: A First Comparative Study of Multiple Testing Techniques
Artificial Intelligence in Software Testing @ 2022 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)
G. Menguy, S. Bardin, N. Lazaar and A. Gotlieb
Automated Program Analysis: Revisiting Precondition Inference through Constraint Acquisition
31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 22)
M. B. Belaid, N. Belmecheri, A. Gotlieb, N. Lazaar and H. Spieker
GEQCA: Generic Qualitative Constraint Acquisition
Proceedings of the AAAI Conference on Artificial Intelligence
Posters
A. Gotlieb, M. K. Ahuja and M. B. Belaid
T-Largo: Testing of Learning Robots
Talks, contributed
M. B. Belaid, N. Belmecheri, A. Gotlieb, N. Lazaar and H. Spieker
GEQCA: Generic Qualitative Constraint Acquisition
Lernen. Wissen. Daten. Analysen. (LWDA) - KDML Track
2021
Journal Articles
H. Spieker and A. Gotlieb
Predictive Machine Learning of Objective Boundaries for Solving COPs
AI
D. Marijan and A. Gotlieb
Industry-Academia research collaboration in software engineering: The Certus model
Information and Software Technology
Proceedings, refereed
P. Bernabé, A. Gotlieb, B. Legeard, F. O. Sem-Jacobsen and H. Spieker
Apprentissage auto-supervisé pour la détection d’actions illégales lors de la surveillance du trafic maritime
Applications Pratiques de l’Intelligence Artificielle
M. K. Ahuja, M. B. Belaid, P. Bernabé, A. Gotlieb, D. Marijan, A. Sharif and H. Spieker
Improving the Reliability of Autonomous Software Systems through Metamorphic Testing
Proceedings of the 31st European Safety and Reliability Conference (ESREL)
P. Bernabé, H. Spieker, B. Legeard and A. Gotlieb
Encoding Temporal and Spatial Vessel Context using Self-Supervised Learning Model (Student Abstract)
Proceedings of the AAAI Conference on Artificial Intelligence
Book Chapters
A. Gotlieb, D. Marijan and H. Spieker
Testing Industrial Robotic Systems: A New Battlefield!
Software Engineering for Robotics
Proceedings, non-refereed
M. B. Belaid, A. Gotlieb and N. Lazaar
Solve Optimization Problems with Unknown Constraint Networks
PTHG workshop in CP
Posters
P. Bernabé, H. Spieker, A. Gotlieb and B. Legeard
Encoding Temporal and Spatial Vessel Context using Self-Supervised Learning Model (Student Abstract)
Talks, keynote
A. Gotlieb
Leveraging AI Methods for Testing Non-testable Autonomous Systems
17th European Dependable Computing Conference 13-16 September 2021 Munich, Germany
Talks, invited
A. Gotlieb
AI-based Testing of Autonomous Software Systems
IRT SystemX, France
A. Gotlieb
Code-Based Testing with Constraints
HUAWEI Paris, France
A. Gotlieb
Advanced Testing Methods for Robotic Software-Systems
Bristol Robotics Lab., Bristol, UK
A. Gotlieb
Breaking silos in data innovation in Europe: Experiences of AI4EU, EUH4D, and DIH4AI
Data Week 2021
Talks, contributed
M. B. Belaid, A. Gotlieb and N. Lazaar
Solve Optimization Problems with Unknown Constraint Networks
PTHG workshop in CP (online)
H. Spieker and A. Gotlieb
Summary of: Adaptive Metamorphic Testing with Contextual Bandits
IEEE International Conference on Software Testing (ICST)
H. Spieker and A. Gotlieb
Learning to Generate Fault-revealing Test Cases in Metamorphic Testing
Software Engineering 2021
2020
Journal Articles
A. Gotlieb, D. Marijan and H. Spieker
ITE: A Lightweight Implementation of Stratified Reasoning for Constructive Logical Operators
International Journal on Artificial Intelligence Tools
H. Spieker and A. Gotlieb
Adaptive Metamorphic Testing with Contextual Bandits
Journal of Systems and Software
Proceedings, refereed
M. K. Ahuja, M. B. Belaid, P. Bernabé, M. Collet, A. Gotlieb, C. Lal, D. Marijan, S. Sen, A. Sharif and H. Spieker
Opening the Software Engineering Toolbox for the Assessment of Trustworthy AI
1st International Workshop on New Foundations for Human-Centered AI @ ECAI 2020
H. Spieker and A. Gotlieb
Learning Objective Boundaries for Constraint Optimization Problems
International Conference on Machine Learning, Optimization, and Data Science
D. Marijan and A. Gotlieb
Software Testing for Machine Learning
The Thirty-Fourth AAAI Conference on Artificial Intelligence
D. Marijan, A. Gotlieb and A. Sapkota
Neural Network Classification for Improving Continuous Regression Testing
The IEEE Second International Conference On Artificial Intelligence Testing (AITest 2020)
D. Marijan and A. Gotlieb
Lessons Learned on Research Co-Creation: Making Industry-Academia Collaboration Work
The 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)
Posters
P. Bernabé, A. Gotlieb and B. Legeard
Detection of False Data Injection in AIS Vessels Communication Using Machine Learning
Talks, invited
A. Gotlieb
AI4EU: Pilot Experiments with the platform
Big Data Value Forum, Nov. 3-5, Berlin, Germany
A. Gotlieb
Metamorphic Testing: A Validation Technique for Trustworthy AI?
Workshop on Lessons learnt on Trustworthy AI made in Europe: Challenges and Answers
2019
Talks, contributed
P. Bernabé, H. Spieker, A. Gotlieb, D. Marijan and B. Legeard
Statistics AIS Dataset from Statsat
Simula Research Laboratory
2013
Proceedings, refereed
A. Gotlieb, L. Hellouet and C. Jard
Scenario realizability with constraint optimization, In: Proc. Of Fundamental Aspects of Software Engineering
Proc. Of Fundamental Aspects of Software Engineering (FASE 2013),
2012
Technical reports
D. Marijan and A. Gotlieb
Research report on test configuration generation