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AppFlow: using machine learning to synthesize robust, reusable UI tests

Research article (Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018) · cited 90× · AI/ML
academia openalex:W2899070402
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AppFlow: using machine learning to synthesize robust, reusable UI tests

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AppFlow: using machine learning to synthesize robust, reusable UI tests is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). AppFlow: using machine learning to synthesize robust, reusable UI tests. Retrieved May 24, 2026, from https://4ort.xyz/entity/appflow-using-machine-learning-to-synthesize-robust-reusable-ui-tests
MLA “AppFlow: using machine learning to synthesize robust, reusable UI tests.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/appflow-using-machine-learning-to-synthesize-robust-reusable-ui-tests.
BibTeX @misc{4ortxyz_appflow-using-machine-learning-to-synthesize-robust-reusable-ui-tests_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AppFlow: using machine learning to synthesize robust, reusable UI tests}}, year = {2026}, url = {https://4ort.xyz/entity/appflow-using-machine-learning-to-synthesize-robust-reusable-ui-tests}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AppFlow: using machine learning to synthesize robust, reusable UI tests — https://4ort.xyz/entity/appflow-using-machine-learning-to-synthesize-robust-reusable-ui-tests (retrieved 2026-05-24)

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