ELENCO PUBBLICAZIONI Prof. Pezzè

2024 Semantic matching in GUI test reuse Khalili, F., Mariani, L., Mohebbi, A., Pezzè, M., Terragni, V. (2024). Semantic matching in GUI test reuse. EMPIRICAL SOFTWARE ENGINEERING, 29(3) [10.1007/s10664-023-10406-8].2024 Predicting Failures of Autoscaling Distributed Applications Denaro, G., El Moussa, N., Heydarov, R., Lomio, F., Pezzè, M., Qiu, K. (2024). Predicting Failures of Autoscaling Distributed Applications. PROCEEDINGS OF THE ACM ON SOFTWARE ENGINEERING, 1, 1960-1981 [10.1145/3660794].2023 Prevent: An Unsupervised Approach to Predict Software Failures in Production Denaro, G., Heydarov, R., Mohebbi, A., Pezzè, M. (2023). Prevent: An Unsupervised Approach to Predict Software Failures in Production. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 49(12), 5139-5153 [10.1109/TSE.2023.3327583].2022 A Survey of Field-based Testing Techniques Bertolino, A., Braione, P., Angelis, G., Gazzola, L., Kifetew, F., Mariani, L., et al. (2022). A Survey of Field-based Testing Techniques. ACM COMPUTING SURVEYS, 54(5), 1-39 [10.1145/3447240].2022 The Ineffectiveness of Domain-Specific Word Embedding Models for GUI Test Reuse Khalili, F., Mohebbi, A., Terragni, V., Pezze, M., Mariani, L., Heydarnoori, A. (2022). The Ineffectiveness of Domain-Specific Word Embedding Models for GUI Test Reuse. In IEEE International Conference on Program Comprehension (pp.560-564). IEEE Computer Society [10.1145/3524610.3527873].2022 Testing Software in Production Environments with Data from the Field Gazzola, L., Mariani, L., Orru, M., Pezze, M., Tappler, M. (2022). Testing Software in Production Environments with Data from the Field. In Proceedings - 2022 IEEE 15th International Conference on Software Testing, Verification and Validation, ICST 2022 (pp.58-69). Institute of Electrical and Electronics Engineers Inc. [10.1109/ICST53961.2022.00017].2022 Call Me Maybe: Using NLP to Automatically Generate Unit Test Cases Respecting Temporal Constraints Blasi, A., Gorla, A., Ernst, M., Pezze', M. (2022). Call Me Maybe: Using NLP to Automatically Generate Unit Test Cases Respecting Temporal Constraints. In 37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022. Association for Computing Machinery [10.1145/3551349.3556961].2021 Reusing Solutions Modulo Theories Aquino, A., Denaro, G., Pezze, M. (2021). Reusing Solutions Modulo Theories. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 47(5), 948-968 [10.1109/TSE.2019.2898199].2021 On introducing automatic test case generation in practice: A success story and lessons learned Brunetto, M., Denaro, G., Mariani, L., Pezze, M. (2021). On introducing automatic test case generation in practice: A success story and lessons learned. THE JOURNAL OF SYSTEMS AND SOFTWARE, 176(June 2021) [10.1016/j.jss.2021.110933].

 

 

ELENCO PUBBLICAZIONI CONDIVISE

2025 MultiMind: A Plug-in for the Implementation of Development Tasks Aided by AI Assistants Donato, B., Mariani, L., Micucci, D., Riganelli, O., Somaschini, M. (2025). MultiMind: A Plug-in for the Implementation of Development Tasks Aided by AI Assistants. In Proceedings of the ACM International Conference on the Foundations of Software Engineering (FSE), International Workshop on Artificial Intelligence for Integrated Development Environments (AI-IDE).2025 WizRD: An Interactive Data Analysis Platform for Urban Environments Maltagliati, J., Leporati, A., Micucci, D. (2025). WizRD: An Interactive Data Analysis Platform for Urban Environments. Intervento presentato a: Italian Conference on ICT for Smart Cities & Communities (I-CiTies 2025), Gaeta, Italia.2025 Smart Health Workflows: Integrating FHIR Standard with BPMN Process Models Bergamini, F., Gallo, G., Micucci, D. (2025). Smart Health Workflows: Integrating FHIR Standard with BPMN Process Models. Intervento presentato a: Italian Conference on ICT for Smart Cities & Communities (I-CiTies 2025), Gaeta, Italia.2025 How Low-Code Platforms Support Process Digital Twins Fedeli, A., Di Salle, A., Micucci, D., Brasil Rebelo Dos Santos, L., Rossi, M., Mariani, L., et al. (2025). How Low-Code Platforms Support Process Digital Twins. Intervento presentato a: Italian Conference on ICT for Smart Cities & Communities (I-CiTies 2025), Gaeta, Italia.2024 COBOL: COmmunity-Based Organized Littering Baresi, L., Bianco, S., Di Salle, A., Iovino, L., Mariani, L., Micucci, D., et al. (2024). COBOL: COmmunity-Based Organized Littering. Intervento presentato a: Italian Conference on ICT for Smart Cities & Communities (I-CiTies 2024), Messina, Italia.2023 Streamlining Data Collection: A Platform Supporting the Design of Acquisition Protocols of Brain Signals Amrani, H., Alexandru Andrei, N., Micucci, D., Napoletano, P. (2023). Streamlining Data Collection: A Platform Supporting the Design of Acquisition Protocols of Brain Signals. Intervento presentato a: Italian Conference on ICT for Smart Cities & Communities (I-CiTies 2023), Salerno, Italia.2025 How low-code platforms support digital twins of processes Fedeli, A., Di Salle, A., Micucci, D., Rebelo, L., Rossi, M., Mariani, L., et al. (2025). How low-code platforms support digital twins of processes. SOFTWARE AND SYSTEMS MODELING [10.1007/s10270-025-01310-4].2025 OpenCat: Improving Interoperability of ADS Testing Ali, Q., Stocco, A., Mariani, L., Riganelli, O. (2025). OpenCat: Improving Interoperability of ADS Testing. In Proceedings - 2025 IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning, DeepTest 2025 (pp.53-60). Institute of Electrical and Electronics Engineers Inc. [10.1109/DeepTest66595.2025.00013].2025 On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Colombo, G., Mariani, L., Micucci, D., Riganelli, O. (2025). On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT. In 2025 IEEE/ACM 33rd International Conference on Program Comprehension (ICPC) (pp.500-511). IEEE Computer Society [10.1109/ICPC66645.2025.00060].2025 Studying How Configurations Impact Code Generation in LLMs: The Case of ChatGPT Donato, B., Mariani, L., Micucci, D., Riganelli, O. (2025). Studying How Configurations Impact Code Generation in LLMs: The Case of ChatGPT. In 2025 IEEE/ACM 33rd International Conference on Program Comprehension (ICPC) (pp.442-453). IEEE Computer Society [10.1109/ICPC66645.2025.00055].2025 WizRD: A Personalized Wayfinding Platform for Enhanced Urban Navigation Maltagliati, J., Leporati, A., Micucci, D. (2025). WizRD: A Personalized Wayfinding Platform for Enhanced Urban Navigation. In Computational Science and Its Applications – ICCSA 2025 Workshops Istanbul, Turkey, June 30 – July 3, 2025, Proceedings, Part XIII (pp.181-196). Springer Cham [10.1007/978-3-031-97657-5_11].2025 Towards a Unified Architecture for Remote Patient Monitoring Bergamini, F., Gallo, G., Micucci, D. (2025). Towards a Unified Architecture for Remote Patient Monitoring. In Intelligent Environments 2025: Combined Workshop Proceedings (pp.36-45) [10.3233/aise250009].2025 Students' Perception of ChatGPT in Software Engineering: Lessons Learned from Five Courses Baresi, L., De Lucia, A., Di Marco, A., Di Penta, M., Di Ruscio, D., Mariani, L., et al. (2025). Students' Perception of ChatGPT in Software Engineering: Lessons Learned from Five Courses. In 2025 IEEE/ACM 37th International Conference on Software Engineering Education and Training (CSEE&T) (pp.158-169). Institute of Electrical and Electronics Engineers Inc. [10.1109/CSEET66350.2025.00023].2025 Test Case Generation for Dialogflow Task-Based Chatbots Rapisarda, R., Ginelli, D., Clerissi, D., Mariani, L. (2025). Test Case Generation for Dialogflow Task-Based Chatbots. In 2025 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) (pp.93-102). Institute of Electrical and Electronics Engineers Inc. [10.1109/ICSTW64639.2025.10962471].2025 Internet of Medical Things Systems Review: Insights into Non-Functional Factors Gallo, G., Micucci, D. (2025). Internet of Medical Things Systems Review: Insights into Non-Functional Factors. SENSORS, 25(9) [10.3390/s25092795].2024 Predicting Failures of Autoscaling Distributed Applications Denaro, G., El Moussa, N., Heydarov, R., Lomio, F., Pezzè, M., Qiu, K. (2024). Predicting Failures of Autoscaling Distributed Applications. PROCEEDINGS OF THE ACM ON SOFTWARE ENGINEERING, 1, 1960-1981 [10.1145/3660794].2025 Leveraging dataset integration and continual learning for human activity recognition Amrani, H., Micucci, D., Mobilio, M., Napoletano, P. (2025). Leveraging dataset integration and continual learning for human activity recognition. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS [10.1007/s13042-025-02569-1].2024 COBOL: COmmunity-Based Organized Littering Baresi, L., Bianco, S., Di Salle, A., Iovino, L., Mariani, L., Micucci, D., et al. (2024). COBOL: COmmunity-Based Organized Littering. In Proceedings of the Euromicro Conference on Software Engineering and Advanced Applications, EUROMICRO-SEAA (pp.511-517). IEEE [10.1109/SEAA64295.2024.00084].2024 EEG Acquisition and Motor Imagery Classification for Robotic Control Amrani, H., Micucci, D., Nalin, M., Napoletano, P., Rizzi, I. (2024). EEG Acquisition and Motor Imagery Classification for Robotic Control. In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp.1-4). Institute of Electrical and Electronics Engineers Inc. [10.1109/EMBC53108.2024.10782723].2020 Measuring software testability modulo test quality Terragni, V., Salza, P., Pezze', M. (2020). Measuring software testability modulo test quality. In ICPC '20: Proceedings of the 28th International Conference on Program Comprehension (pp.241-251). IEEE Computer Society [10.1145/3387904.3389273].2020 Evolutionary improvement of assertion oracles Terragni, V., Jahangirova, G., Tonella, P., Pezze', M. (2020). Evolutionary improvement of assertion oracles. In ESEC/FSE 2020 - Proceedings of the 28th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering (pp.1178-1189). Association for Computing Machinery, Inc [10.1145/3368089.3409758].2022 Call Me Maybe: Using NLP to Automatically Generate Unit Test Cases Respecting Temporal Constraints Blasi, A., Gorla, A., Ernst, M., Pezze', M. (2022). Call Me Maybe: Using NLP to Automatically Generate Unit Test Cases Respecting Temporal Constraints. In 37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022. Association for Computing Machinery [10.1145/3551349.3556961].2021 MeMo: Automatically identifying metamorphic relations in Javadoc comments for test automation Blasi, A., Gorla, A., Ernst, M., Pezze', M., Carzaniga, A. (2021). MeMo: Automatically identifying metamorphic relations in Javadoc comments for test automation. THE JOURNAL OF SYSTEMS AND SOFTWARE, 181 [10.1016/j.jss.2021.111041].2024 Scoping Software Engineering for AI: The TSE Perspective Uchitel, S., Chechik, M., Penta, M., Adams, B., Aguirre, N., Bavota, G., et al. (2024). Scoping Software Engineering for AI: The TSE Perspective. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 50(11), 2709-2711 [10.1109/TSE.2024.3470368].2024 Waste Management Through Digital Twins and Business Process Modeling Di Salle, A., Fedeli, A., Iovino, L., Mariani, L., Micucci, D., Rebelo, L., et al. (2024). Waste Management Through Digital Twins and Business Process Modeling. In MODELS Companion '24: Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems (pp.513-517). Association for Computing Machinery, Inc [10.1145/3652620.3687796].2024 A Data-Driven Approach Supporting Location Decisions for Docking Stations in Bike-Sharing Systems Spahiu, B., Briola, D., Sartori, R., Vizzari, G. (2024). A Data-Driven Approach Supporting Location Decisions for Docking Stations in Bike-Sharing Systems. In 27th European Conference on Artificial Intelligence, 19–24 October 2024, Santiago de Compostela, Spain – Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024) (pp.4618-4625). IOS Press BV [10.3233/faia241056].2024 Curriculum-Based RL for Pedestrian Simulation: Sensitivity Analysis and Hyperparameter Exploration Vizzari, G., Briola, D., Pisapia, F. (2024). Curriculum-Based RL for Pedestrian Simulation: Sensitivity Analysis and Hyperparameter Exploration. In Thirteenth International Workshop on Agents in Traffic and Transportation co-located with the the 27th European Conference on Artificial Intelligence (ECAI 2024) (pp.136-149). CEUR-WS.2024 DBInputs: Exploiting Persistent Data to Improve Automated GUI Testing Clerissi, D., Denaro, G., Mobilio, M., Mariani, L. (2024). DBInputs: Exploiting Persistent Data to Improve Automated GUI Testing. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 50(9), 2412-2436 [10.1109/TSE.2024.3439002].2024 Towards Model-Driven Dashboard Generation for Systems-of-Systems Rossi, M., Tundo, A., Mariani, L. (2024). Towards Model-Driven Dashboard Generation for Systems-of-Systems. In SESoS '24: Proceedings of the 12th ACM/IEEE International Workshop on Software Engineering for Systems-of-Systems and Software Ecosystems (pp.9-12). Association for Computing Machinery, Inc [10.1145/3643655.3643876].

 

 

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