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Exposing off-nominal behaviors in multi-robot coordination.

, , and . RoSE@ICSE, page 17-24. IEEE / ACM, (2019)

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VeriCCM: improving the syntax and semantics of requirements models., , , and . SAC, page 1881-1884. ACM, (2019)Model elements identification using neural networks: a comprehensive study., , , , and . Requir. Eng., 26 (1): 67-96 (2021)The Need for Location-based Machine Learning Models for Level 5 Automated Vehicles., and . VEHITS, page 654-661. SCITEPRESS, (2021)Deriving Functional Safety Requirements Using Undesired Combination State Templates., , and . RESACS@RE, page 1-8. IEEE, (2018)A combinatorial approach for exposing off-nominal behaviors., , and . ICSE, page 910-920. ACM, (2018)A Dependency-based Combinatorial Approach for Reducing Effort for Scenario-based Safety Analysis of Autonomous Vehicles., , and . VEHITS, page 235-246. SCITEPRESS, (2021)ADSA - Association-Driven Safety Analysis to Expose Unknown Safety Issues., , and . IEEE Trans. Dependable Secur. Comput., 21 (1): 216-228 (January 2024)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)Exposing off-nominal behaviors in multi-robot coordination., , and . RoSE@ICSE, page 17-24. IEEE / ACM, (2019)