Quality attributes and preferences on the synthesis of reactive systems. - Ezequiel Castellano (ICSE (Companion Volume), 2017)

Minimising Makespan of Discrete Controllers: A Qualitative Approach. - Ezequiel Castellano; Víctor A. Braberman; Nicolás D'Ippolito; Sebastián Uchitel; Kenji Tei (CDC, 2019)

A runtime monitoring framework to enforce invariants on reinforcement learning agents exploring complex environments. - Piergiuseppe Mallozzi; Ezequiel Castellano; Patrizio Pelliccione; Gerardo Schneider; Kenji Tei (RoSE@ICSE, 2019)

Analysis of Road Representations in Search-Based Testing of Autonomous Driving Systems. - Ezequiel Castellano; Ahmet Cetinkaya; Paolo Arcaini (QRS, 2021)

Frenetic at the SBST 2021 Tool Competition. - Ezequiel Castellano; Ahmet Cetinkaya; Cédric Ho Thanh; Stefan Klikovits; Xiaoyi Zhang 005; Paolo Arcaini (SBST@ICSE, 2021)

Dynamic Shielding for Reinforcement Learning in Black-Box Environments. - Masaki Waga; Ezequiel Castellano; Sasinee Pruekprasert; Stefan Klikovits; Toru Takisaka; Ichiro Hasuo (ATVA, 2022)

Explaining the Behaviour of Game Agents Using Differential Comparison. - Ezequiel Castellano; Xiao-Yi Zhang 005; Paolo Arcaini; Toru Takisaka; Fuyuki Ishikawa; Nozomu Ikehata; Kosuke Iwakura (ASE, 2022)

FreneticV at the SBST 2022 Tool Competition. - Ezequiel Castellano; Stefan Klikovits; Ahmet Cetinkaya; Paolo Arcaini (SBST@ICSE, 2022)

Does Road Diversity Really Matter in Testing Automated Driving Systems? - A Registered Report. - Stefan Klikovits; Vincenzo Riccio; Ezequiel Castellano; Ahmet Cetinkaya; Alessio Gambi; Paolo Arcaini (CoRR, 2022)

Incremental Search-Based Allocation of Autonomous Robots for Goods Delivery. - Paolo Arcaini; Ezequiel Castellano; Fuyuki Ishikawa; Hirokazu Kawamoto; Kaoru Sawai; Eiichi Muramoto (CEC, 2023)

Frenetic-lib: An extensible framework for search-based generation of road structures for ADS testing. - Stefan Klikovits; Ezequiel Castellano; Ahmet Cetinkaya; Paolo Arcaini (Sci. Comput. Program., 2023)