Are elevator software robust against uncertainties? results and experiences from an industrial case study

Author:

Han Liping1,Yue Tao2,Ali Shaukat2,Arrieta Aitor3,Arratibel Maite4

Affiliation:

1. Nanjing University of Aeronautics and Astronautics, China / Simula Research Laboratory, Norway

2. Simula Research Laboratory, Norway

3. Mondragon University, Spain

4. Orona, Spain

Funder

Horizon 2020 Framework Programme

Norges Forskningsråd

Eusko Jaurlaritza

Publisher

ACM

Reference60 articles.

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Test Case Generation for Drivability Requirements of an Automotive Cruise Controller: An Experience with an Industrial Simulator;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30

2. KDDT: Knowledge Distillation-Empowered Digital Twin for Anomaly Detection;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30

3. Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems;ACM Transactions on Software Engineering and Methodology;2023-07-22

4. Automated Misconfiguration Repair of Configurable Cyber-Physical Systems with Search: an Industrial Case Study on Elevator Dispatching Algorithms;2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP);2023-05

5. Uncertainty-aware Robustness Assessment of Industrial Elevator Systems;ACM Transactions on Software Engineering and Methodology;2022-12-12

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