Machine learning‐based test oracles for performance testing of cyber‐physical systems: An industrial case study on elevators dispatching algorithms
Author:
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
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/smr.2465
Reference80 articles.
1. Modeling Cyber–Physical Systems
2. AyerdiJ GarciandiaA ArrietaA et al.Towards a taxonomy for eliciting design‐operation continuum requirements of cyber‐physical systems. In: 2020 IEEE 28th International Requirements Engineering Conference (RE).Zurich Switzerland;2020:280‐290.
3. Elevator Traffic Handbook
4. Performance mutation testing
5. ArrietaA AyerdiJ IllarramendiM AgirreA SagarduiG ArratibelM.Using machine learning to build test oracles: an industrial case study on elevators dispatching algorithms. In: 2021 IEEE/ACM International Conference on Automation of Software Test (AST) IEEE;2021:30‐39.
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