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Explainable Human-Machine Teaming using Model Checking and Interpretable Machine Learning.

, , , , and . FormaliSE, page 18-28. IEEE, (2023)

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Formalizing distributed self-adaptive systems using high-level petri nets., and . SummerSim, page 28:1-28:12. ACM, (2019)Model-Based Testing Under Parametric Variability of Uncertain Beliefs., and . SEFM, volume 12310 of Lecture Notes in Computer Science, page 175-192. Springer, (2020)Formal verification problems in a big data world: towards a mighty synergy.. ICSE Companion, page 638-641. ACM, (2014)PPTAMλ: What, Where, and How of Cross-domain Scalability Assessment., , , , , , , and . ICSA Companion, page 62-69. IEEE, (2021)Towards Better Trust in Human-Machine Teaming through Explainable Dependability., , , , , and . ICSA-C, page 86-90. IEEE, (2023)Modeling Performance of Microservices Systems with Growth Theory., and . Empir. Softw. Eng., 27 (2): 39 (2022)Engineering Self-adaptive Microservice Applications: An Experience Report., , , , and . ICSOC (1), volume 14419 of Lecture Notes in Computer Science, page 227-242. Springer, (2023)Explanation-driven Self-adaptation using Model-agnostic Interpretable Machine Learning., , , and . SEAMS@ICSE, page 189-199. ACM, (2024)Zone-based formal specification and timing analysis of real-time self-adaptive systems., , and . Sci. Comput. Program., (2018)Coverability Analysis of Time Basic Petri Nets with Non-Urgent Behavior., , , and . SYNASC, page 165-172. IEEE, (2016)