Machine learning‐based test oracles for performance testing of cyber‐physical systems: An industrial case study on elevators dispatching algorithms

Author:

Gartziandia Aitor1,Arrieta Aitor2ORCID,Ayerdi Jon2,Illarramendi Miren2,Agirre Aitor1,Sagardui Goiuria2,Arratibel Maite3

Affiliation:

1. Information and Communication Technologies Ikerlan Mondragon Spain

2. Software and Systemcs Engineering Mondragon University Mondragon Spain

3. Control Systems Orona Hernani Spain

Funder

Eusko Jaurlaritza

Horizon 2020 Framework Programme

Publisher

Wiley

Subject

Software

Cited by 3 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. The integration of machine learning into automated test generation: A systematic mapping study;Software Testing, Verification and Reliability;2023-05-02

2. 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

3. Are elevator software robust against uncertainties? results and experiences from an industrial case study;Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2022-11-07

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