Mario Luca Bernardi

145 papers A 2B 29C 19Misc 5Journal 30Unranked 59

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing next activity prediction in process mining with Retrieval-Augmented Generation. Inf. Syst. Angelo Casciani, Mario Luca Bernardi, Marta Cimitile, Andrea Marrella
2025	—	`conf`	A RAG-Enhanced AI Feedback for UML Education. AIED Companion (2) Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera
2025	B	`conf`	A Resource-aware Aadaptation Approach for Heterogeneous Federated Learning. IJCNN Mario Luca Bernardi, Marta Cimitile, Muhammad Usman, Anna Vacca
2025	C	`conf`	Back to the Model: UML Miner and the Power of Process Mining. ICSOFT Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera
2025	C	`conf`	Concept Drift Detection using Transformer Autoencoder. CoDIT Mario Luca Bernardi, Marta Cimitile, Anna Vacca
2025	B	`conf`	In-Vivo Biosensors and Visual Data for Precision Agriculture: a Multimodal Approach for Water Stress Detection in Tomato Plants. PRICAI Giovanni Panella, Mario Luca Bernardi, Marta Cimitile, Michela Janni, Filippo Vurro, Francesco Denaro, Manuele Bettelli, Riccardo Pecori
2025	B	`conf`	Transformer-based Poisoning Detection using Concept Drift Analysis. IJCNN Mario Luca Bernardi, Marta Cimitile, Muhammad Usman, Anna Vacca
2024	C	`conf`	A Comparative Study of Transfer Learning on CNN-Based Models for Fault and Anomaly Detection in Industrial Processes. IEA/AIE Anita Salsano, Marialuisa Menanno, Mario Luca Bernardi
2024	—	`conf`	A RAG-based Feedback Tool to Augment UML Class Diagram Learning. MoDELS (Companion) Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera
2024	—	`conf`	A preliminary study on Business Process-aware Large Language Models. Ital-IA Mario Luca Bernardi, Angelo Casciani, Marta Cimitile, Andrea Marrella
2024	B	`conf`	Automatic Job Safety Report Generation using RAG-based LLMs. IJCNN Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
2024	J	`jnl`	Characterization of Heart Diseases per Single Lead Using ECG Images and CNN-2D. Sensors Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori
2024	—	`conf`	Conversational Systems for AI-Augmented Business Process Management. RCIS (1) Angelo Casciani, Mario Luca Bernardi, Marta Cimitile, Andrea Marrella
2024	J	`jnl`	Conversing with business process-aware large language models: the BPLLM framework. J. Intell. Inf. Syst. Mario Luca Bernardi, Angelo Casciani, Marta Cimitile, Andrea Marrella
2024	—	`conf`	DQFed: A Federated Learning Strategy for Non-IID Data based on a Quality-Driven Perspective. FUZZ Mario Luca Bernardi, Marta Cimitile, Muhammad Usman
2024	—	`conf`	Enhancing Software Modeling Learning with AI-Powered Scaffolding. MoDELS (Companion) Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera
2024	J	`jnl`	Explainable Anomaly Detection of Synthetic Medical IoT Traffic Using Machine Learning. SN Comput. Sci. Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori, Luca Veltri
2024	B	`conf`	Report Generation from X-Ray imaging by Retrieval-Augmented Generation and improved Image-Text Matching. IJCNN Mario Luca Bernardi, Marta Cimitile
2024	B	`conf`	Teaching UML using a RAG-based LLM. IJCNN Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
2023	J	`jnl`	A data-aware explainable deep learning approach for next activity prediction. Eng. Appl. Artif. Intell. Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone
2023	J	`jnl`	A systematic review on artificial intelligence techniques for detecting thyroid diseases. PeerJ Comput. Sci. Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Andrea Maiellaro, Riccardo Pecori
2023	B	`conf`	An Empirical Study on the Relationship Between the Co-Occurrence of Design Smell and Refactoring Activities. ENASE Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
2023	—	`conf`	An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning. DeLTA Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone
2023	C	`conf`	Anomaly Detection of Medical IoT Traffic Using Machine Learning. DATA Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori, Luca Veltri
2023	J	`jnl`	Data-aware process discovery for malware detection: an empirical study. Mach. Learn. Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi
2023	—	`conf`	Detecting the Usage of Large Language Models Exploiting Generative Adversarial Networks. HELMeTO Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
2023	B	`conf`	Early Diagnosis of Cardiac Diseases using ECG Images and CNN-2D. KES Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori
2023	B	`conf`	Early Diagnosis of Parkinson's Disease Exploting Motor and Non-Motor Symptoms: Results from the PPMI Cohort. KES Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone
2023	—	`conf`	Early Parkinson's Disease Detection from EEG Traces Using Machine Learning Techniques. EUSFLAT/AGOP Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
2023	J	`jnl`	Evo-GUNet3++: Using evolutionary algorithms to train UNet-based architectures for efficient 3D lung cancer detection. Appl. Soft Comput. Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone
2023	—	`conf`	Explainable Deep Ensemble to Diagnose COVID-19 from CT Scans. EUSFLAT/AGOP Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori, Chiara Verdone
2023	J	`jnl`	Forecasting technical debt evolution in software systems: an empirical study. Frontiers Comput. Sci. Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
2023	—	`conf`	Forecasting the Developer's Impact in Managing the Technical Debt. PROFES (2) Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
2023	—	`conf`	Machine Learning Applied to Speech Recordings for Parkinson's Disease Recognition. DeLTA Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone
2023	C	`conf`	Machine and Deep Learning Techniques to Classify Arousal Judgments in Dynamic Virtual Experience of Architecture. ICMLA Riccardo Pecori, Paolo Presti, Pietro Avanzini, Lerina Aversano, Fausto Caruana, Marta Cimitile, Debora Montano, Davide Ruzzon, Mario Luca Bernardi, Giovanni Vecchiato
2023	—	`conf`	Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning. MetroXRAINE Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Andrea Cusano, Martina Iammarino, Marco Pisco, Sara Spaziani, Chiara Verdone
2023	J	`jnl`	Super-Resolution of Synthetic Aperture Radar Complex Data by Deep-Learning. IEEE Access Pia Addabbo, Mario Luca Bernardi, Filippo Biondi, Marta Cimitile, Carmine Clemente, Nicomino Fiscante, Gaetano Giunta, Danilo Orlando, Linjie Yan
2023	—	`conf`	UML Miner: A Tool for Mining UML Diagrams. MoDELS (Companion) Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Vito Alessandro Carella, Marta Cimitile, Michele Scalera
2023	C	`conf`	Understanding Compiler Effects on Clone Detection Process. ICSOFT Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
2022	—	`conf`	A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces. EAIS Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
2022	—	`conf`	An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment. HELMeTO Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
2022	—	`conf`	An Explainable and Evolving Car Driver Identification System based on Decision Trees. EAIS Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Pietro Ducange, Michela Fazzolari, Riccardo Pecori
2022	B	`conf`	An enhanced UNet variant for Effective Lung Cancer Detection. IJCNN Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone
2022	Misc	`conf`	Design patterns mining using neural sub-graph matching. SAC Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
2022	B	`conf`	Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks. IJCNN Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone
2022	—	`conf`	Fuzzy-based Process Mining to Discover the Coding Behavior: Challenges and Future Works. OLUD@WCCI Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
2022	C	`conf`	Is There Any Correlation between Refactoring and Design Smell Occurrence? ICSOFT Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
2022	J	`jnl`	Just-in-time software defect prediction using deep temporal convolutional networks. Neural Comput. Appl. Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
2022	B	`conf`	Technical Debt Forecasting from Source Code Using Temporal Convolutional Networks. PROFES Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
2022	—	`conf`	Using Machine Learning for Classification of Cancer Cells from Raman Spectroscopy. DeLTA Lerina Aversano, Mario Luca Bernardi, Vincenzo Calgano, Marta Cimitile, Concetta Esposito, Martina Iammarino, Marco Pisco, Sara Spaziani, Chiara Verdone
2022	—	`conf`	Using Machine Learning for early prediction of Heart Disease. EAIS Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
2022	J	`jnl`	Using deep temporal convolutional networks to just-in-time forecast technical debt principal. J. Syst. Softw. Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
2022	J	`jnl`	Water stress classification using Convolutional Deep Neural Networks. J. Univers. Comput. Sci. Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
2021	J	`jnl`	A systematic review on Deep Learning approaches for IoT security. Comput. Sci. Rev. Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
2021	B	`conf`	An Explainable Approach for Car Driver Identification. FUZZ-IEEE Gionatan Gallo, Mario Luca Bernardi, Marta Cimitile, Pietro Ducange
2021	C	`conf`	Anomaly Detection of actual IoT traffic flows through Deep Learning. ICMLA Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
2021	J	`jnl`	Continuous authentication using deep neural networks ensemble on keystroke dynamics. PeerJ Comput. Sci. Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
2021	B	`conf`	Deep Neural Networks Ensemble for Lung Nodule Detection on Chest CT Scans. IJCNN Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
2021	J	`jnl`	Deep neural networks ensemble to detect COVID-19 from CT scans. Pattern Recognit. Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
2021	—	`conf`	Keynote: Edge Intelligence - Emerging Solutions and Open Challenges. PerCom Workshops Mario Luca Bernardi
2021	B	`conf`	Technical Debt predictive model through Temporal Convolutional Network. IJCNN Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
2021	J	`jnl`	Temporal Convolutional Neural Networks for Radar Micro-Doppler Based Gait Recognition. Sensors Pia Addabbo, Mario Luca Bernardi, Filippo Biondi, Marta Cimitile, Carmine Clemente, Danilo Orlando
2021	J	`jnl`	Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics. Neurocomputing Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
2021	B	`conf`	Thyroid Disease Treatment prediction with machine learning approaches. KES Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Paolo Emidio Macchia, Immacolata Cristina Nettore, Chiara Verdone
2021	C	`conf`	Transfer Learning for Just-in-Time Design Smells Prediction using Temporal Convolutional Networks. ICSOFT Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
2021	—	`conf`	Using Process Mining to Understand Students' and Teams' Dynamics. HELMeTO Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
2020	—	`ch.`	A Machine Learning Approach for Walker Identification Using Smartphone Sensors. Complex Pattern Mining Antonio Angrisano, Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Salvatore Gaglione
2020	B	`conf`	A Topic Modeling Approach To Evaluate The Comments Consistency To Source Code. IJCNN Martina Iammarino, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
2020	B	`conf`	Data-Aware Declarative Process Mining for Malware Detection. IJCNN Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
2020	B	`conf`	Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics. IJCNN Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
2020	B	`conf`	Fuzzy Neural Networks to Detect Parkinson Disease. FUZZ-IEEE Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
2020	J	`jnl`	Identification of Walker Identity Using Smartphone Sensors: An Experiment Using Ensemble Learning. IEEE Access Antonio Angrisano, Mario Luca Bernardi, Marta Cimitile, Salvatore Gaglione, Mario Vultaggio
2020	C	`conf`	Investigating on the Relationships between Design Smells Removals and Refactorings. ICSOFT Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Kateryna Romanyuk
2020	—	`conf`	Malware Phylogeny Analysis using Data-Aware Declarative Process Mining. EAIS Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
2020	J	`jnl`	Reusing Bugged Source Code to Support Novice Programmers in Debugging Tasks. ACM Trans. Comput. Educ. Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo
2020	J	`jnl`	Software Analytics to Support Students in Object-Oriented Programming Tasks: An Empirical Study. IEEE Access Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
2020	C	`conf`	Temporal Convolutional Networks for Just-in-Time Software Defect Prediction. ICSOFT Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
2020	—	`conf`	Towards automatic assessment of object-oriented programs. ICSE (Companion Volume) Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
2019	J	`jnl`	Dynamic malware detection and phylogeny analysis using process mining. Int. J. Inf. Sec. Mario Luca Bernardi, Marta Cimitile, Damiano Distante, Fabio Martinelli, Francesco Mercaldo
2019	B	`conf`	Evaluating coding behavior in software development processes: a process mining approach. ICSSP Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi
2019	B	`conf`	Keystroke Analysis for User Identification using Deep Neural Networks. IJCNN Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
2019	B	`conf`	Learning analytics to improve coding abilities: a fuzzy-based process mining approach. FUZZ-IEEE Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo
2019	C	`conf`	Mining Developer's Behavior from Web-Based IDE Logs. WETICE Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo
2019	—	`conf`	On the Students' Misconceptions in Object-Oriented Language Constructs. HELMeTO Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
2018	B	`conf`	A Fuzzy Clustering-based Approach to study Malware Phylogeny. FUZZ-IEEE Giovanni Acampora, Mario Luca Bernardi, Marta Cimitile, Genoveffa Tortora, Autilia Vitiello
2018	C	`conf`	A Multi-source Machine Learning Approach to Predict Defect Prone Components. ICSOFT Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
2018	B	`conf`	An Ensemble Fuzzy Logic Approach to Game Bot Detection through Behavioural Features. FUZZ-IEEE Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
2018	J	`jnl`	Cross-Organisational Process Mining in Cloud Environments. J. Inf. Knowl. Manag. Mario Luca Bernardi, Marta Cimitile, Francesco Mercaldo
2018	B	`conf`	Driver Identification: a Time Series Classification Approach. IJCNN Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
2018	J	`jnl`	The relation between developers' communication and fix-Inducing changes: An empirical study. J. Syst. Softw. Mario Luca Bernardi, Gerardo Canfora, Giuseppe A. Di Lucca, Massimiliano Di Penta, Damiano Distante
2017	—	`conf`	A Machine Learning Approach for Game Bot Detection Through Behavioural Features. ICSOFT (Selected Papers) Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
2017	B	`conf`	A fuzzy-based autoscaling approach for process centered cloud systems. FUZZ-IEEE Giovanni Acampora, Mario Luca Bernardi, Marta Cimitile, Genoveffa Tortora, Autilia Vitiello
2017	B	`conf`	A fuzzy-based process mining approach for dynamic malware detection. FUZZ-IEEE Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
2017	—	`conf`	A time series classification approach to game bot detection. WIMS Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
2017	C	`conf`	Game Bot Detection in Online Role Player Game through Behavioural Features. ICSOFT Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
2016	C	`conf`	A constraint-driven approach for dynamic malware detection. PST Mario Luca Bernardi, Marta Cimitile, Damiano Distante, Francesco Mercaldo
2016	Misc	`conf`	Automated development of constraint-driven web applications. SAC Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi
2016	J	`jnl`	Do activity lifecycles affect the validity of a business rule in a business process? Inf. Syst. Mario Luca Bernardi, Marta Cimitile, Chiara Di Francescomarino, Fabrizio Maria Maggi
2016	J	`jnl`	Mining static and dynamic crosscutting concerns: a role-based approach. J. Softw. Evol. Process. Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca
2016	—	`conf`	Process Mining Meets Malware Evolution: A Study of the Behavior of Malicious Code. CANDAR Mario Luca Bernardi, Marta Cimitile, Francesco Mercaldo
2016	—	`conf`	Reducing Static Dependences Exploiting a Declarative Design Patterns Framework. ICSOFT-PT Mario Luca Bernardi, Marta Cimitile
2015	—	`conf`	Generating Event Logs Through the Simulation of Declare Models. EOMAS@CAiSE Claudio Di Ciccio, Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi
2015	—	`conf`	Improving Design Patterns Finder Precision Using a Model Checking Approach. CAiSE Forum Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo, Giuseppe A. Di Lucca, Antonella Santone
2015	—	`conf`	Integrating Model Driven and Model Checking to Mine Design Patterns. ICSOFT (Selected Papers) Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo, Giuseppe A. Di Lucca, Antonella Santone
2015	—	`conf`	Model Checking to Improve Precision of Design Pattern Instances Identification in OO Systems. ICSOFT-PT Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo, Giuseppe A. Di Lucca, Antonella Santone
2014	Misc	`conf`	Declarative design pattern-based development using aspect oriented programming. SAC Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca
2014	J	`jnl`	Design pattern detection using a DSL-driven graph matching approach. J. Softw. Evol. Process. Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca
2014	C	`conf`	Discovering cross-organizational business rules from the cloud. CIDM Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi
2014	—	`conf`	Model-driven fast prototyping of RIAs: From conceptual models to running applications. ICACCI Mario Luca Bernardi, Giuseppe Antonio Di Lucca, Damiano Distante
2014	—	`conf`	Using Discriminative Rule Mining to Discover Declarative Process Models with Non-atomic Activities. RuleML Mario Luca Bernardi, Marta Cimitile, Chiara Di Francescomarino, Fabrizio Maria Maggi
2013	—	`conf`	A model-driven graph-matching approach for design pattern detection. WCRE Mario Luca Bernardi, Marta Cimitile, Giuseppe Antonio Di Lucca
2013	C	`conf`	An Aspect Oriented Framework for Flexible Design Pattern-based Development. ICSOFT Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca
2013	—	`conf`	Model driven evolution of web applications. WSE Mario Luca Bernardi, Giuseppe A. Di Lucca, Damiano Distante, Marta Cimitile
2013	C	`conf`	Process Lines for Automatic Workflow Development. ICSOFT Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi
2013	J	`jnl`	Web applications design recovery and evolution with RE-UWA. J. Softw. Evol. Process. Mario Luca Bernardi, Marta Cimitile, Damiano Distante
2012	—	`conf`	Development of flexible process-centric web applications: An integrated model driven approach. WSE Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca, Fabrizio Maria Maggi
2012	—	`conf`	Do Developers Introduce Bugs When They Do Not Communicate? The Case of Eclipse and Mozilla. CSMR Mario Luca Bernardi, Gerardo Canfora, Giuseppe A. Di Lucca, Massimiliano Di Penta, Damiano Distante
2012	—	`conf`	M3D: a tool for the model driven development of web applications. WIDM Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca, Fabrizio Maria Maggi
2012	C	`conf`	Model Driven Development of Process-centric Web Applications. ICSOFT Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi
2012	—	`conf`	Using Declarative Workflow Languages to Develop Process-Centric Web Applications. EDOC Workshops Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca, Fabrizio Maria Maggi
2011	—	`conf`	A model-driven approach for the fast prototyping of web applications. WSE Mario Luca Bernardi, Giuseppe A. Di Lucca, Damiano Distante
2011	—	`conf`	Identifying the Crosscutting among Concerns by Methods' Calls Analysis. FGIT-ASEA/DRBC/EL Mario Luca Bernardi, Giuseppe A. Di Lucca
2011	A	`conf`	What topics do Firefox and Chrome contributors discuss? MSR Mario Luca Bernardi, Carmine Sementa, Quirino Zagarese, Damiano Distante, Massimiliano Di Penta
2010	—	`conf`	A metric model for aspects' coupling. WETSoM Mario Luca Bernardi, Giuseppe A. Di Lucca
2010	J	`jnl`	An Aspect-Oriented Programming-based approach to software development for fault detection in measurement systems. Comput. Stand. Interfaces Pasquale Arpaia, Mario Luca Bernardi, Giuseppe A. Di Lucca, Vitaliano Inglese, Giovanni Spiezia
2010	Misc	`conf`	Improving the Design of Existing Web Applications. QUATIC Mario Luca Bernardi, Giuseppe A. Di Lucca, Damiano Distante
2010	—	`conf`	Mining Design Patterns in Object Oriented Systems by a Model-Driven Approach. FGIT-ASEA Mario Luca Bernardi, Giuseppe A. Di Lucca
2010	—	`conf`	Model-driven detection of Design Patterns. ICSM Mario Luca Bernardi, Giuseppe A. Di Lucca
2010	A	`conf`	The ConAn Tool to Identify Crosscutting Concerns in Object Oriented Systems. ICPC Mario Luca Bernardi, Giuseppe A. Di Lucca
2010	—	`conf`	Web applications design evolution with UWA. WSE Mario Luca Bernardi, Marta Cimitile, Damiano Distante, Francesco Mazzone
2009	—	`conf`	A role-based crosscutting concerns mining approach to evolve Java systems towards AOP. EVOL/IWPSE Mario Luca Bernardi, Giuseppe Antonio Di Lucca
2009	—	`conf`	Analysing Object Type Hierarchies to Identify Crosscutting Concerns. FGIT Mario Luca Bernardi, Giuseppe A. Di Lucca
2009	—	`conf`	ConAn: A Tool for the Identification of Crosscutting Concerns in Object Oriented Systems Based on Type Hierarchy Analysis. WCRE Mario Luca Bernardi, Giuseppe A. Di Lucca
2009	J	`jnl`	The RE-UWA approach to recover user centered conceptual models from Web applications. Int. J. Softw. Tools Technol. Transf. Mario Luca Bernardi, Giuseppe A. Di Lucca, Damiano Distante
2009	—	`conf`	Workshop on Maintenance of Aspect Oriented Systems. CSMR Mario Luca Bernardi, Giuseppe A. Di Lucca, Mariano Ceccato
2008	B	`conf`	A Taxonomy of Interactions Introduced by Aspects. COMPSAC Mario Luca Bernardi, Giuseppe A. Di Lucca
2008	—	`conf`	Reverse Engineering of Aspect Oriented Systems to Support their Comprehension, Evolution, Testing and Assessment. CSMR Mario Luca Bernardi
2008	—	`conf`	Reverse engineering of Web Applications to abstract user-centered conceptual models. WSE Mario Luca Bernardi, Giuseppe A. Di Lucca, Damiano Distante
2007	—	`conf`	An Interprocedural Aspect Control Flow Graph to Support the Maintenance of Aspect Oriented Systems. ICSM Mario Luca Bernardi, Giuseppe A. Di Lucca
2007	Misc	`conf`	Testing Aspect Oriented Programs: an Approach Based on the Coverage of the Interactions among Advices and Methods. QUATIC Mario Luca Bernardi, Giuseppe A. Di Lucca
2006	—	`conf`	Recovering conceptual models from web applications. SIGDOC Giuseppe A. Di Lucca, Damiano Distante, Mario Luca Bernardi
2006	—	`conf`	Using AOP to Improve Design Patterns Modularity. IASTED Conf. on Software Engineering Mario Luca Bernardi, Giuseppe A. Di Lucca
2005	—	`conf`	Improving Design Pattern Quality Using Aspect Orientation. STEP Mario Luca Bernardi, Giuseppe A. Di Lucca
2005	—	`conf`	Supporting the Comprehension of Object-oriented Software Systems by Extended M-M Graph. IASTED Conf. on Software Engineering Mario Luca Bernardi, Giuseppe A. Di Lucca
2005	—	`conf`	UsCaAb: A Tool for Abstracting Use Case Diagrams. CSMR Mario Luca Bernardi, Giuseppe A. Di Lucca