Genetic Algorithm-based Testing of Industrial Elevators under Passenger Uncertainty
Author:
Affiliation:
1. Simula Research Laboratory
2. Mondragon University
3. Orona
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9700162/9700165/09700214.pdf?arnumber=9700214
Reference13 articles.
1. Debugging Cyber-Physical Systems with Pharo
2. Uncertainty-wise test case generation and minimization for Cyber-Physical Systems
3. Uncertainty-aware specification and analysis for hardware-in-the-loop testing of cyber-physical systems
4. Evaluation Uncertainty in Data-Driven Self-Driving Testing
5. Using Machine Learning to Build Test Oracles: an Industrial Case Study on Elevators Dispatching Algorithms
Cited by 2 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. Application of Quantum Extreme Learning Machines for QoS Prediction of Elevators’ Software in an Industrial Context;Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering;2024-07-10
2. Machine learning‐based test oracles for performance testing of cyber‐physical systems: An industrial case study on elevators dispatching algorithms;Journal of Software: Evolution and Process;2022-05-25
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