Using Machine Learning to Build Test Oracles: an Industrial Case Study on Elevators Dispatching Algorithms

Research article (2021 IEEE/ACM International Conference on Automation of Software Test (AST), 2021) · cited 23× · AI/ML
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Using Machine Learning to Build Test Oracles: an Industrial Case Study on Elevators Dispatching Algorithms

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Using Machine Learning to Build Test Oracles: an Industrial Case Study on Elevators Dispatching Algorithms is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Using Machine Learning to Build Test Oracles: an Industrial Case Study on Elevators Dispatching Algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-machine-learning-to-build-test-oracles-an-industrial-case-study-on-elevators-dispatching-algorithms
MLA “Using Machine Learning to Build Test Oracles: an Industrial Case Study on Elevators Dispatching Algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-machine-learning-to-build-test-oracles-an-industrial-case-study-on-elevators-dispatching-algorithms.
BibTeX @misc{4ortxyz_using-machine-learning-to-build-test-oracles-an-industrial-case-study-on-elevators-dispatching-algorithms_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using Machine Learning to Build Test Oracles: an Industrial Case Study on Elevators Dispatching Algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/using-machine-learning-to-build-test-oracles-an-industrial-case-study-on-elevators-dispatching-algorithms}, note = {Accessed: 2026-05-24}}
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