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Non-robust (fragile) test execution is a commonly reported challenge in GUI-based test automation, despite much research and several proposed solutions.
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Paolo Tonella, Filippo Ricca, and Alessandro Marchetto. 2014 · 2014
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Chapter Three - Three Open Problems in the Context of E2E Web Testing and a Vision
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A Method of Optimizing Multi-Locators Based on Machine Learning. In 2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) . IEEE, -, -, 172–174
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Combining Automated GUI Exploration of Android apps with Capture and Replay through Machine Learning
Domenico Amalfitano, Vincenzo Riccio, Nicola Amatucci, Vincenzo De Simone, and Anna Rita Fasolino. 2019 · 2019
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Estimating return on investment for gui test automation frameworks. In 2019 IEEE 30th International Symposium on Software Reliability Engineering (ISSRE) . IEEE, -, -, 271–282
Felix Dobslaw, Robert Feldt, David Michaëlsson, Patrik Haar, Francisco Gomes de Oliveira Neto, and Richard Torkar. 2019 · 2019
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COLOR: Correct Locator Recommender for Broken Test Scripts using Various Clues in Web Application
Hiroyuki Kirinuki, Haruto Tanno, and Katsuyuki Natsukawa. 2019 · 2019
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On the Industrial Applicability of Augmented Testing: An Empirical Study. In 2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) . IEEE, -, -, 364–371
Michel Nass, Emil Alégroth, and Robert Feldt. 2020 · 2020
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Sidereal: Statistical adaptive generation of robust locators for web testing
Maurizio Leotta, Filippo Ricca, and Paolo Tonella. 2021 · 2021
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Why many challenges with GUI test automation (will) remain
Michel Nass, Emil Alégroth, and Robert Feldt. 2021 · 2021
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Generating and selecting resilient and maintainable locators for Web automated testing
Vu Nguyen, Thanh To, and Gia-Han Diep. 2021 · 2021
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Erratum: Leveraging Flexible Tree Matching to repair broken locators in web automation scripts
Sacha Brisset, Romain Rouvoy, Lionel Seinturier, and Renaud Pawlak. 2022 · 2022
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