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MONDO: Scalable Modelling and Model Management on the Cloud.

, , , , , , , , , and . STAF Doctoral Symposium / Showcase, volume 1675 of CEUR Workshop Proceedings, page 55-64. CEUR-WS.org, (2016)

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Combining Evolutionary Mutation Testing with Random Selection., , and . CEC, page 1-8. IEEE, (2020)Towards automated provenance collection for runtime models to record system history., , and . SAM, page 12-21. ACM, (2020)Model-driven Design of Performance Requirements with UML and MARTE., , and . ICSOFT (2), page 54-63. SciTePress, (2011)Mutación evolutiva., , , and . JISBD, page 281-292. IBERGARCETA Pub. S.L., (2010)From a Series of (Un)fortunate Events to Global Explainability of Runtime Model-Based Self-Adaptive Systems., , and . MoDELS (Companion), page 807-816. IEEE, (2021)MONDO: Scalable Modelling and Model Management on the Cloud., , , , , , , , , and . STAF Doctoral Symposium / Showcase, volume 1675 of CEUR Workshop Proceedings, page 55-64. CEUR-WS.org, (2016)Truth Tables to Binary Decision Diagrams., and . TTC@STAF, volume 2550 of CEUR Workshop Proceedings, page 3-7. CEUR-WS.org, (2019)Event-driven temporal models for explanations - ETeMoX: explaining reinforcement learning., , , , , , , and . Softw. Syst. Model., 21 (3): 1091-1113 (2022)GiGAn: evolutionary mutation testing for C++ object-oriented systems., , , , and . SAC, page 1387-1392. ACM, (2017)Temporal Models for History-Aware Explainability., , , and . SAM, page 155-164. ACM, (2020)