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Lessons learned from making the transition to model-based GUI testing., , and . A-TEST@ESEC/SIGSOFT FSE, page 22-27. ACM, (2019)Probabilistic Software Modeling: A Data-driven Paradigm for Software Analysis., , , and . CoRR, (2019)Economic Perspectives in Test Automation: Balancing Automated and Manual Testing with Opportunity Cost., and . AST, page 85-91. ACM, (2006)Using Rule Mining for Automatic Test Oracle Generation., , , and . QuASoQ@APSEC, volume 2767 of CEUR Workshop Proceedings, page 21-28. CEUR-WS.org, (2020)Adapting automated test generation to GUI testing of industry applications., , and . Inf. Softw. Technol., (2018)Requirements for Anomaly Detection Techniques for Microservices., , , , and . PROFES, volume 13709 of Lecture Notes in Computer Science, page 37-52. Springer, (2022)Exploring Expectations About Risk-Based Testing: Towards Increasing Effectiveness and Efficiency., and . PROFES, volume 10027 of Lecture Notes in Computer Science, page 683-688. (2016)Software Competence Center Hagenberg: Wissens- und Technologietransfer in Software und Data Science., and . SE, volume P-300 of LNI, page 225-227. Gesellschaft für Informatik e.V., (2020)Reusing Automated Regression Tests for Multiple Variants of a Software Product Line., and . ICST Workshops, page 122-123. IEEE Computer Society, (2013)A Retrospection on Building a Custom Tool for Automated System Testing., and . COMPSAC, page 820-821. IEEE Computer Society, (2013)