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Automated Identification of Component State Transition Model Elements from Requirements.

, , , and . RE Workshops, page 386-392. IEEE Computer Society, (2017)

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A Hierarchical Dependency-Driven Scenario-Based Testing for Autonomous Vehicles., and . SMARTGREENS/VEHITS (Selected Papers), volume 1612 of Communications in Computer and Information Science, page 297-312. Springer, (2021)The Need for Location-based Machine Learning Models for Level 5 Automated Vehicles., and . VEHITS, page 654-661. SCITEPRESS, (2021)VeriCCM: improving the syntax and semantics of requirements models., , , and . SAC, page 1881-1884. ACM, (2019)Deriving Functional Safety Requirements Using Undesired Combination State Templates., , and . RESACS@RE, page 1-8. IEEE, (2018)Resolving Confusion of Unknowns in Autonomous Vehicles: Types and Perspectives., and . VEHITS, page 646-653. SCITEPRESS, (2021)An artificial intelligence-based model-driven approach for exposing off-nominal behaviors.. ICSE (Companion Volume), page 214-217. IEEE / ACM, (2019)SACC - A property driven approach to expose undesired behaviors among system's components., , , and . ISSRE, page 380-390. IEEE, (2020)Identifying safety issues from energy conservation requirements., , and . J. Softw. Evol. Process., (July 2023)Exposing off-nominal behaviors in multi-robot coordination., , and . RoSE@ICSE, page 17-24. IEEE / ACM, (2019)Functional Safety Hazards for Machine Learning Components in Autonomous Vehicles., and . ICPS, page 225-230. IEEE, (2021)