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].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].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].2021 Semantic matching of GUI events for test reuse: Are we there yet? Mariani, L., Mohebbi, A., Pezze, M., Terragni, V. (2021). Semantic matching of GUI events for test reuse: Are we there yet?. In ISSTA 2021 - Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis (pp.177-190). Association for Computing Machinery, Inc [10.1145/3460319.3464827].2021 An Evolutionary Approach to Adapt Tests across Mobile Apps Mariani, L., Pezze, M., Terragni, V., Zuddas, D. (2021). An Evolutionary Approach to Adapt Tests across Mobile Apps. In Proceedings - 2021 IEEE/ACM International Conference on Automation of Software Test, AST 2021 (pp.70-79). Institute of Electrical and Electronics Engineers Inc. [10.1109/AST52587.2021.00016].

 

 

ELENCO PUBBLICAZIONI CONDIVISE

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].2024 Continuous Conformance of Software Architectures Bucaioni, A., Di Salle, A., Iovino, L., Mariani, L., Pelliccione, P. (2024). Continuous Conformance of Software Architectures. In Proceedings - IEEE 21st International Conference on Software Architecture, ICSA 2024 (pp.112-122). Institute of Electrical and Electronics Engineers Inc. [10.1109/ICSA59870.2024.00019].2024 Testing in the Evolving World of DL Systems: Insights from Python GitHub Projects Ali, Q., Riganelli, O., Mariani, L. (2024). Testing in the Evolving World of DL Systems: Insights from Python GitHub Projects. In IEEE International Conference on Software Quality, Reliability and Security, QRS (pp.25-35). Institute of Electrical and Electronics Engineers Inc. [10.1109/QRS62785.2024.00013].2024 ReProbe: An Architecture for Reconfigurable and Adaptive Probes Alessi, F., Tundo, A., Mobilio, M., Riganelli, O., Mariani, L. (2024). ReProbe: An Architecture for Reconfigurable and Adaptive Probes. In Proceedings - IEEE 21st International Conference on Software Architecture Companion, ICSA-C 2024 (pp.175-178). Institute of Electrical and Electronics Engineers Inc. [10.1109/ICSA-C63560.2024.00037].2024 Creating Virtual Reality Scenarios for Pedestrian Experiments Focusing on Social Interactions Briola, D., Tinti, F., Vizzari, G. (2024). Creating Virtual Reality Scenarios for Pedestrian Experiments Focusing on Social Interactions. In Proceedings of the 25th Workshop "From Objects to Agents" (pp.170-185). CEUR-WS.2024 The future of human and animal digital health platforms Bok, P., Micucci, D. (2024). The future of human and animal digital health platforms. JOURNAL OF RELIABLE INTELLIGENT ENVIRONMENTS, 10(3), 245-256 [10.1007/s40860-024-00232-0].2024 FILO: Automated FIx-LOcus Identification for Android Framework Compatibility Issues Mobilio, M., Riganelli, O., Micucci, D., Mariani, L. (2024). FILO: Automated FIx-LOcus Identification for Android Framework Compatibility Issues. INFORMATION, 15(8) [10.3390/info15080423].2024 Can Digital Tools Save Lives? A Systematic Review of Apps and Web-Based Interventions for Suicide Prevention in Post-Discharge Poli, M., Fooroogh Mand Arabi, A., Russotto, S., Turolla, F., Nembrini, F., Micucci, D., et al. (2024). Can Digital Tools Save Lives? A Systematic Review of Apps and Web-Based Interventions for Suicide Prevention in Post-Discharge. Intervento presentato a: Convegno Internazionale di Suicidologia e Salute Pubblica, Roma, Italia.2024 Analyzing Prompt Influence on Automated Method Generation: An Empirical Study with Copilot Fagadau, I., Mariani, L., Micucci, D., Riganelli, O. (2024). Analyzing Prompt Influence on Automated Method Generation: An Empirical Study with Copilot. In ICPC '24: Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension (pp.24-34). IEEE Computer Society [10.1145/3643916.3644409].2024 Generating Java Methods: An Empirical Assessment of Four AI-Based Code Assistants Corso, V., Mariani, L., Micucci, D., Riganelli, O. (2024). Generating Java Methods: An Empirical Assessment of Four AI-Based Code Assistants. In Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension (pp.13-23). IEEE [10.1145/3643916.3644402].2024 Assessing AI-Based Code Assistants in Method Generation Tasks Corso, V., Mariani, L., Micucci, D., Riganelli, O. (2024). Assessing AI-Based Code Assistants in Method Generation Tasks. In Proceedings - International Conference on Software Engineering (pp.380-381). IEEE Computer Society [10.1145/3639478.3643122].2024 Deep Representation Learning for Open Vocabulary Electroencephalography-to-Text Decoding Amrani, H., Micucci, D., Napoletano, P. (2024). Deep Representation Learning for Open Vocabulary Electroencephalography-to-Text Decoding. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 1-12 [10.1109/JBHI.2024.3416066].2024 A Role and Reward Analysis in Off-chain Mechanisms for Executing MEV Strategies in Ethereum Proof-of-Stake Mancino, D., Leporati, A., Viviani, M., Denaro, G. (2024). A Role and Reward Analysis in Off-chain Mechanisms for Executing MEV Strategies in Ethereum Proof-of-Stake. DISTRIBUTED LEDGER TECHNOLOGIES [10.1145/3672405].2024 Anonymizing Test Data in Android: Does It Hurt? Masserini, E., Ginelli, D., Micucci, D., Briola, D., Mariani, L. (2024). Anonymizing Test Data in Android: Does It Hurt?. In Proceedings of the 5th ACM/IEEE International Conference on Automation of Software Test (AST 2024) (pp.88-98). Association for Computing Machinery, Inc [10.1145/3644032.3644463].2024 MutaBot: A Mutation Testing Approach for Chatbots Urrico, M., Clerissi, D., Mariani, L. (2024). MutaBot: A Mutation Testing Approach for Chatbots. In ICSE-Companion '24: Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings (pp.79-83). IEEE Computer Society [10.1145/3639478.3640032].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 Measuring Software Testability via Automatically Generated Test Cases Guglielmo, L., Mariani, L., Denaro, G. (2024). Measuring Software Testability via Automatically Generated Test Cases. IEEE ACCESS, 12, 63904-63916 [10.1109/access.2024.3396625].2023 Curriculum–Based Reinforcement Learning for Pedestrian Simulation: Towards an Explainable Training Process Vizzari, G., Briola, D., Cecconello, T. (2023). Curriculum–Based Reinforcement Learning for Pedestrian Simulation: Towards an Explainable Training Process. In Proceedings of the 24th Workshop "From Objects to Agents" (pp.32-48). CEUR-WS.2024 A family of experiments about how developers perceive delayed system response time Cornejo, O., Briola, D., Micucci, D., Ginelli, D., Mariani, L., Santos Parrilla, A., et al. (2024). A family of experiments about how developers perceive delayed system response time. SOFTWARE QUALITY JOURNAL [10.1007/s11219-024-09660-w].2024 Emotion Personalization with Machine Learning using EEG Signals and Dry Electrodes Amrani, H., Micucci, D., Nalin, M., Napoletano, P. (2024). Emotion Personalization with Machine Learning using EEG Signals and Dry Electrodes. In 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2023 - Proceedings (pp.132-137). Institute of Electrical and Electronics Engineers Inc. [10.1109/metroxraine58569.2023.10405681].2024 Guess the State: Exploiting Determinism to Improve GUI Exploration Efficiency Clerissi, D., Denaro, G., Mobilio, M., Mariani, L. (2024). Guess the State: Exploiting Determinism to Improve GUI Exploration Efficiency. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 50(4), 836-853 [10.1109/TSE.2024.3366586].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].2024 Monitoring Probe Deployment Patterns for Cloud-Native Applications: Definition and Empirical Assessment Tundo, A., Mobilio, M., Riganelli, O., Mariani, L. (2024). Monitoring Probe Deployment Patterns for Cloud-Native Applications: Definition and Empirical Assessment. IEEE TRANSACTIONS ON SERVICES COMPUTING, 17(4), 1636-1654 [10.1109/TSC.2024.3349648].2024 Automatic testing of runtime enforcers with Test4Enforcers Riganelli, O., Micucci, D., Mariani, L. (2024). Automatic testing of runtime enforcers with Test4Enforcers. THE JOURNAL OF SYSTEMS AND SOFTWARE, 210(April 2024) [10.1016/j.jss.2023.111949].2023 Fantastic MASs and Where to Find Them: First Results and Lesson Learned Briola, D., Ferrando, A., Mascardi, V. (2023). Fantastic MASs and Where to Find Them: First Results and Lesson Learned. In Engineering Multi-Agent Systems 11th International Workshop, EMAS 2023, London, UK, May 29–30, 2023, Revised Selected Papers (pp.233-252). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-48539-8_16].2023 Supporting Early-Safety Analysis of IoT Systems by Exploiting Testing Techniques Clerissi, D., Rocco, J., Di Ruscio, D., Di Sipio, C., Ihirwe, F., Mariani, L., et al. (2023). Supporting Early-Safety Analysis of IoT Systems by Exploiting Testing Techniques. In Proceedings - 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2023 (pp.520-529). Institute of Electrical and Electronics Engineers Inc. [10.1109/MODELS-C59198.2023.00089].2023 Mastering Reference Architectures with Modeling Assistants Di Salle, A., Iovino, L., Mariani, L. (2023). Mastering Reference Architectures with Modeling Assistants. In Proceedings - 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2023 (pp.705-709). IEEE [10.1109/MODELS-C59198.2023.00113].2023 An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge Tundo, A., Mobilio, M., Ilager, S., Brandic, I., Bartocci, E., Mariani, L. (2023). An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge. In Proceedings - 2023 38th IEEE/ACM International Conference on Automated Software Engineering, ASE 2023 (pp.281-293). Institute of Electrical and Electronics Engineers Inc. [10.1109/ASE56229.2023.00046].2023 Property-Based Mutation Testing Bartocci, E., Mariani, L., Nickovic, D., Yadav, D. (2023). Property-Based Mutation Testing. In Proceedings - 2023 IEEE 16th International Conference on Software Testing, Verification and Validation, ICST 2023 (pp.222-233). Institute of Electrical and Electronics Engineers Inc. [10.1109/ICST57152.2023.00029].

 

 

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