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2020 – today
- 2024
[j28]Lerina Aversano
, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori:
Characterization of Heart Diseases per Single Lead Using ECG Images and CNN-2D. Sensors 24(11): 3485 (2024)- [j27]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori, Luca Veltri:
Explainable Anomaly Detection of Synthetic Medical IoT Traffic Using Machine Learning. SN Comput. Sci. 5(5): 488 (2024) - [c108]Mario Luca Bernardi, Marta Cimitile, Muhammad Usman:
DQFed: A Federated Learning Strategy for Non-IID Data based on a Quality-Driven Perspective. FUZZ 2024: 1-8 - [c107]Anita Salsano, Marialuisa Menanno, Mario Luca Bernardi:
A Comparative Study of Transfer Learning on CNN-Based Models for Fault and Anomaly Detection in Industrial Processes. IEA/AIE 2024: 163-175 - [c106]Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile:
Teaching UML using a RAG-based LLM. IJCNN 2024: 1-8 - [c105]Mario Luca Bernardi, Marta Cimitile:
Report Generation from X-Ray imaging by Retrieval-Augmented Generation and improved Image-Text Matching. IJCNN 2024: 1-8 - [c104]Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori:
Automatic Job Safety Report Generation using RAG-based LLMs. IJCNN 2024: 1-8 - [c103]Mario Luca Bernardi, Angelo Casciani, Marta Cimitile, Andrea Marrella:
A preliminary study on Business Process-aware Large Language Models. Ital-IA 2024: 441-446 - [c102]Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera:
A RAG-based Feedback Tool to Augment UML Class Diagram Learning. MoDELS (Companion) 2024: 26-30 - [c101]Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera:
Enhancing Software Modeling Learning with AI-Powered Scaffolding. MoDELS (Companion) 2024: 103-106 - [c100]Angelo Casciani, Mario Luca Bernardi, Marta Cimitile, Andrea Marrella:
Conversational Systems for AI-Augmented Business Process Management. RCIS (1) 2024: 183-200 - 2023
- [j26]Pia Addabbo, Mario Luca Bernardi, Filippo Biondi, Marta Cimitile, Carmine Clemente, Nicomino Fiscante, Gaetano Giunta, Danilo Orlando, Linjie Yan:
Super-Resolution of Synthetic Aperture Radar Complex Data by Deep-Learning. IEEE Access 11: 23647-23658 (2023) - [j25]Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone:
Evo-GUNet3++: Using evolutionary algorithms to train UNet-based architectures for efficient 3D lung cancer detection. Appl. Soft Comput. 144: 110465 (2023) - [j24]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone:
A data-aware explainable deep learning approach for next activity prediction. Eng. Appl. Artif. Intell. 126: 106758 (2023) - [j23]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano:
Forecasting technical debt evolution in software systems: an empirical study. Frontiers Comput. Sci. 17(3): 173210 (2023) - [j22]Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi:
Data-aware process discovery for malware detection: an empirical study. Mach. Learn. 112(4): 1171-1199 (2023) - [j21]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Andrea Maiellaro, Riccardo Pecori:
A systematic review on artificial intelligence techniques for detecting thyroid diseases. PeerJ Comput. Sci. 9: e1394 (2023) - [c99]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori, Luca Veltri:
Anomaly Detection of Medical IoT Traffic Using Machine Learning. DATA 2023: 173-182 - [c98]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone:
Machine Learning Applied to Speech Recordings for Parkinson's Disease Recognition. DeLTA 2023: 101-114 - [c97]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone:
An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning. DeLTA 2023: 326-339 - [c96]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano:
An Empirical Study on the Relationship Between the Co-Occurrence of Design Smell and Refactoring Activities. ENASE 2023: 742-749 - [c95]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone:
Early Parkinson's Disease Detection from EEG Traces Using Machine Learning Techniques. EUSFLAT/AGOP 2023: 607-619 - [c94]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori, Chiara Verdone:
Explainable Deep Ensemble to Diagnose COVID-19 from CT Scans. EUSFLAT/AGOP 2023: 642-654 - [c93]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile:
Detecting the Usage of Large Language Models Exploiting Generative Adversarial Networks. HELMeTO 2023: 128-141 - [c92]Riccardo Pecori, Paolo Presti, Pietro Avanzini, Lerina Aversano, Fausto Caruana, Marta Cimitile, Debora Montano, Davide Ruzzon, Mario Luca Bernardi, Giovanni Vecchiato:
Machine and Deep Learning Techniques to Classify Arousal Judgments in Dynamic Virtual Experience of Architecture. ICMLA 2023: 2087-2094 - [c91]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano:
Understanding Compiler Effects on Clone Detection Process. ICSOFT 2023: 345-352 - [c90]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone:
Early Diagnosis of Parkinson's Disease Exploting Motor and Non-Motor Symptoms: Results from the PPMI Cohort. KES 2023: 2096-2105 - [c89]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori:
Early Diagnosis of Cardiac Diseases using ECG Images and CNN-2D. KES 2023: 2866-2875 - [c88]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Andrea Cusano, Martina Iammarino, Marco Pisco, Sara Spaziani, Chiara Verdone:
Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning. MetroXRAINE 2023: 688-693 - [c87]Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Vito Alessandro Carella, Marta Cimitile, Michele Scalera:
UML Miner: A Tool for Mining UML Diagrams. MoDELS (Companion) 2023: 30-34 - [c86]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino:
Forecasting the Developer's Impact in Managing the Technical Debt. PROFES (2) 2023: 35-47 - 2022
- [j20]Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino:
Using deep temporal convolutional networks to just-in-time forecast technical debt principal. J. Syst. Softw. 194: 111481 (2022) - [j19]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile:
Water stress classification using Convolutional Deep Neural Networks. J. Univers. Comput. Sci. 28(3): 311-328 (2022) - [j18]Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino:
Just-in-time software defect prediction using deep temporal convolutional networks. Neural Comput. Appl. 34(5): 3981-4001 (2022) - [c85]Lerina Aversano, Mario Luca Bernardi, Vincenzo Calgano, Marta Cimitile, Concetta Esposito, Martina Iammarino, Marco Pisco, Sara Spaziani, Chiara Verdone:
Using Machine Learning for Classification of Cancer Cells from Raman Spectroscopy. DeLTA 2022: 15-24 - [c84]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Pietro Ducange, Michela Fazzolari, Riccardo Pecori:
An Explainable and Evolving Car Driver Identification System based on Decision Trees. EAIS 2022: 1-8 - [c83]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone:
Using Machine Learning for early prediction of Heart Disease. EAIS 2022: 1-8 - [c82]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone:
A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces. EAIS 2022: 1-8 - [c81]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone:
An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment. HELMeTO 2022: 536-547 - [c80]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano:
Is There Any Correlation between Refactoring and Design Smell Occurrence? ICSOFT 2022: 129-136 - [c79]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone:
Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks. IJCNN 2022: 1-8 - [c78]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone:
An enhanced UNet variant for Effective Lung Cancer Detection. IJCNN 2022: 1-8 - [c77]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino:
Technical Debt Forecasting from Source Code Using Temporal Convolutional Networks. PROFES 2022: 581-591 - [c76]Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile:
Design patterns mining using neural sub-graph matching. SAC 2022: 1545-1553 - [c75]Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile:
Fuzzy-based Process Mining to Discover the Coding Behavior: Challenges and Future Works. OLUD@WCCI 2022 - 2021
- [j17]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori:
A systematic review on Deep Learning approaches for IoT security. Comput. Sci. Rev. 40: 100389 (2021) - [j16]Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino:
Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics. Neurocomputing 463: 454-471 (2021) - [j15]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori:
Continuous authentication using deep neural networks ensemble on keystroke dynamics. PeerJ Comput. Sci. 7: e525 (2021) - [j14]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori:
Deep neural networks ensemble to detect COVID-19 from CT scans. Pattern Recognit. 120: 108135 (2021) - [j13]Pia Addabbo, Mario Luca Bernardi, Filippo Biondi, Marta Cimitile, Carmine Clemente, Danilo Orlando:
Temporal Convolutional Neural Networks for Radar Micro-Doppler Based Gait Recognition. Sensors 21(2): 381 (2021) - [c74]Gionatan Gallo, Mario Luca Bernardi, Marta Cimitile, Pietro Ducange:
An Explainable Approach for Car Driver Identification. FUZZ-IEEE 2021: 1-7 - [c73]Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile:
Using Process Mining to Understand Students' and Teams' Dynamics. HELMeTO 2021: 63-73 - [c72]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori:
Anomaly Detection of actual IoT traffic flows through Deep Learning. ICMLA 2021: 1736-1741 - [c71]Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino:
Transfer Learning for Just-in-Time Design Smells Prediction using Temporal Convolutional Networks. ICSOFT 2021: 310-317 - [c70]Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile:
Deep Neural Networks Ensemble for Lung Nodule Detection on Chest CT Scans. IJCNN 2021: 1-8 - [c69]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino:
Technical Debt predictive model through Temporal Convolutional Network. IJCNN 2021: 1-8 - [c68]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Paolo Emidio Macchia, Immacolata Cristina Nettore, Chiara Verdone:
Thyroid Disease Treatment prediction with machine learning approaches. KES 2021: 1031-1040 - [c67]Mario Luca Bernardi:
Keynote: Edge Intelligence - Emerging Solutions and Open Challenges. PerCom Workshops 2021: 160 - 2020
- [j12]Antonio Angrisano, Mario Luca Bernardi, Marta Cimitile, Salvatore Gaglione, Mario Vultaggio:
Identification of Walker Identity Using Smartphone Sensors: An Experiment Using Ensemble Learning. IEEE Access 8: 27435-27447 (2020) - [j11]Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile:
Software Analytics to Support Students in Object-Oriented Programming Tasks: An Empirical Study. IEEE Access 8: 132171-132187 (2020) - [j10]Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo:
Reusing Bugged Source Code to Support Novice Programmers in Debugging Tasks. ACM Trans. Comput. Educ. 20(1): 2:1-2:24 (2020) - [c66]Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile:
Malware Phylogeny Analysis using Data-Aware Declarative Process Mining. EAIS 2020: 1-8 - [c65]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori:
Fuzzy Neural Networks to Detect Parkinson Disease. FUZZ-IEEE 2020: 1-8 - [c64]Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile:
Towards automatic assessment of object-oriented programs. ICSE (Companion Volume) 2020: 276-277 - [c63]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Kateryna Romanyuk:
Investigating on the Relationships between Design Smells Removals and Refactorings. ICSOFT 2020: 212-219 - [c62]Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile:
Temporal Convolutional Networks for Just-in-Time Software Defect Prediction. ICSOFT 2020: 384-393 - [c61]Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile:
Data-Aware Declarative Process Mining for Malware Detection. IJCNN 2020: 1-8 - [c60]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori:
Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics. IJCNN 2020: 1-8 - [c59]Martina Iammarino, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile:
A Topic Modeling Approach To Evaluate The Comments Consistency To Source Code. IJCNN 2020: 1-8 - [p1]Antonio Angrisano, Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Salvatore Gaglione:
A Machine Learning Approach for Walker Identification Using Smartphone Sensors. Complex Pattern Mining 2020: 229-247
2010 – 2019
- 2019
- [j9]Mario Luca Bernardi, Marta Cimitile, Damiano Distante, Fabio Martinelli, Francesco Mercaldo:
Dynamic malware detection and phylogeny analysis using process mining. Int. J. Inf. Sec. 18(3): 257-284 (2019) - [c58]Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo:
Learning analytics to improve coding abilities: a fuzzy-based process mining approach. FUZZ-IEEE 2019: 1-7 - [c57]Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile:
On the Students' Misconceptions in Object-Oriented Language Constructs. HELMeTO 2019: 97-112 - [c56]Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo:
Keystroke Analysis for User Identification using Deep Neural Networks. IJCNN 2019: 1-8 - [c55]Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi:
Evaluating coding behavior in software development processes: a process mining approach. ICSSP 2019: 84-93 - [c54]Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo:
Mining Developer's Behavior from Web-Based IDE Logs. WETICE 2019: 277-282 - 2018
- [j8]Mario Luca Bernardi, Marta Cimitile, Francesco Mercaldo:
Cross-Organisational Process Mining in Cloud Environments. J. Inf. Knowl. Manag. 17(2): 1850014:1-1850014:27 (2018) - [j7]Mario Luca Bernardi, Gerardo Canfora, Giuseppe A. Di Lucca, Massimiliano Di Penta, Damiano Distante:
The relation between developers' communication and fix-Inducing changes: An empirical study. J. Syst. Softw. 140: 111-125 (2018) - [c53]Giovanni Acampora, Mario Luca Bernardi, Marta Cimitile, Genoveffa Tortora, Autilia Vitiello:
A Fuzzy Clustering-based Approach to study Malware Phylogeny. FUZZ-IEEE 2018: 1-8 - [c52]Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo:
An Ensemble Fuzzy Logic Approach to Game Bot Detection through Behavioural Features. FUZZ-IEEE 2018: 1-9 - [c51]Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile:
A Multi-source Machine Learning Approach to Predict Defect Prone Components. ICSOFT 2018: 306-313 - [c50]Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo:
Driver Identification: a Time Series Classification Approach. IJCNN 2018: 1-7 - 2017
- [c49]Giovanni Acampora, Mario Luca Bernardi, Marta Cimitile, Genoveffa Tortora, Autilia Vitiello:
A fuzzy-based autoscaling approach for process centered cloud systems. FUZZ-IEEE 2017: 1-8 - [c48]Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo:
A fuzzy-based process mining approach for dynamic malware detection. FUZZ-IEEE 2017: 1-8 - [c47]Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo:
Game Bot Detection in Online Role Player Game through Behavioural Features. ICSOFT 2017: 50-60 - [c46]Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo:
A Machine Learning Approach for Game Bot Detection Through Behavioural Features. ICSOFT (Selected Papers) 2017: 114-134 - [c45]Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo:
A time series classification approach to game bot detection. WIMS 2017: 6:1-6:11 - 2016
- [j6]Mario Luca Bernardi, Marta Cimitile, Chiara Di Francescomarino, Fabrizio Maria Maggi:
Do activity lifecycles affect the validity of a business rule in a business process? Inf. Syst. 62: 42-59 (2016) - [j5]Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca:
Mining static and dynamic crosscutting concerns: a role-based approach. J. Softw. Evol. Process. 28(5): 306-339 (2016) - [c44]Mario Luca Bernardi, Marta Cimitile, Francesco Mercaldo:
Process Mining Meets Malware Evolution: A Study of the Behavior of Malicious Code. CANDAR 2016: 616-622 - [c43]Mario Luca Bernardi, Marta Cimitile:
Reducing Static Dependences Exploiting a Declarative Design Patterns Framework. ICSOFT-PT 2016: 154-160 - [c42]Mario Luca Bernardi, Marta Cimitile, Damiano Distante, Francesco Mercaldo:
A constraint-driven approach for dynamic malware detection. PST 2016: 512-519 - [c41]Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi:
Automated development of constraint-driven web applications. SAC 2016: 1196-1203 - 2015
- [c40]Claudio Di Ciccio, Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi:
Generating Event Logs Through the Simulation of Declare Models. EOMAS@CAiSE 2015: 20-36 - [c39]Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo, Giuseppe A. Di Lucca, Antonella Santone:
Improving Design Patterns Finder Precision Using a Model Checking Approach. CAiSE Forum 2015: 113-120 - [c38]Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo, Giuseppe A. Di Lucca, Antonella Santone:
Model Checking to Improve Precision of Design Pattern Instances Identification in OO Systems. ICSOFT-PT 2015: 53-63 - [c37]Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo, Giuseppe A. Di Lucca, Antonella Santone:
Integrating Model Driven and Model Checking to Mine Design Patterns. ICSOFT (Selected Papers) 2015: 99-117 - 2014
- [j4]Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca:
Design pattern detection using a DSL-driven graph matching approach. J. Softw. Evol. Process. 26(12): 1233-1266 (2014) - [c36]Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi:
Discovering cross-organizational business rules from the cloud. CIDM 2014: 389-396 - [c35]Mario Luca Bernardi, Giuseppe Antonio Di Lucca, Damiano Distante:
Model-driven fast prototyping of RIAs: From conceptual models to running applications. ICACCI 2014: 250-258 - [c34]Mario Luca Bernardi, Marta Cimitile, Chiara Di Francescomarino, Fabrizio Maria Maggi:
Using Discriminative Rule Mining to Discover Declarative Process Models with Non-atomic Activities. RuleML 2014: 281-295 - [c33]Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca:
Declarative design pattern-based development using aspect oriented programming. SAC 2014: 1625-1630 - 2013
- [j3]Mario Luca Bernardi, Marta Cimitile, Damiano Distante:
Web applications design recovery and evolution with RE-UWA. J. Softw. Evol. Process. 25(8): 789-814 (2013) - [c32]Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi:
Process Lines for Automatic Workflow Development. ICSOFT 2013: 41-49 - [c31]Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca:
An Aspect Oriented Framework for Flexible Design Pattern-based Development. ICSOFT 2013: 528-535 - [c30]Mario Luca Bernardi, Marta Cimitile, Giuseppe Antonio Di Lucca:
A model-driven graph-matching approach for design pattern detection. WCRE 2013: 172-181 - [c29]Mario Luca Bernardi, Giuseppe A. Di Lucca, Damiano Distante, Marta Cimitile:
Model driven evolution of web applications. WSE 2013: 45-50 - 2012
- [c28]Mario Luca Bernardi, Gerardo Canfora, Giuseppe A. Di Lucca, Massimiliano Di Penta, Damiano Distante:
Do Developers Introduce Bugs When They Do Not Communicate? The Case of Eclipse and Mozilla. CSMR 2012: 139-148 - [c27]Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca, Fabrizio Maria Maggi:
Using Declarative Workflow Languages to Develop Process-Centric Web Applications. EDOC Workshops 2012: 56-65 - [c26]Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi:
Model Driven Development of Process-centric Web Applications. ICSOFT 2012: 340-346 - [c25]Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca, Fabrizio Maria Maggi:
M3D: a tool for the model driven development of web applications. WIDM 2012: 73-80 - [c24]Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca, Fabrizio Maria Maggi:
Development of flexible process-centric web applications: An integrated model driven approach. WSE 2012: 67-71 - 2011
- [c23]Mario Luca Bernardi, Giuseppe A. Di Lucca:
Identifying the Crosscutting among Concerns by Methods' Calls Analysis. FGIT-ASEA/DRBC/EL 2011: 147-158 - [c22]Mario Luca Bernardi, Carmine Sementa, Quirino Zagarese, Damiano Distante, Massimiliano Di Penta:
What topics do Firefox and Chrome contributors discuss? MSR 2011: 234-237 - [c21]Mario Luca Bernardi, Giuseppe A. Di Lucca, Damiano Distante:
A model-driven approach for the fast prototyping of web applications. WSE 2011: 65-74 - 2010
- [j2]Pasquale Arpaia, Mario Luca Bernardi, Giuseppe A. Di Lucca, Vitaliano Inglese, Giovanni Spiezia:
An Aspect-Oriented Programming-based approach to software development for fault detection in measurement systems. Comput. Stand. Interfaces 32(3): 141-152 (2010) - [c20]Mario Luca Bernardi, Giuseppe A. Di Lucca:
Mining Design Patterns in Object Oriented Systems by a Model-Driven Approach. FGIT-ASEA 2010: 67-77 - [c19]Mario Luca Bernardi, Giuseppe A. Di Lucca:
A metric model for aspects' coupling. WETSoM 2010: 59-66 - [c18]Mario Luca Bernardi, Giuseppe A. Di Lucca:
Model-driven detection of Design Patterns. ICSM 2010: 1-5 - [c17]Mario Luca Bernardi, Giuseppe A. Di Lucca:
The ConAn Tool to Identify Crosscutting Concerns in Object Oriented Systems. ICPC 2010: 48-49 - [c16]Mario Luca Bernardi, Giuseppe A. Di Lucca, Damiano Distante:
Improving the Design of Existing Web Applications. QUATIC 2010: 499-504 - [c15]Mario Luca Bernardi, Marta Cimitile, Damiano Distante, Francesco Mazzone:
Web applications design evolution with UWA. WSE 2010: 3-12
2000 – 2009
- 2009
- [j1]Mario Luca Bernardi, Giuseppe A. Di Lucca, Damiano Distante:
The RE-UWA approach to recover user centered conceptual models from Web applications. Int. J. Softw. Tools Technol. Transf. 11(6): 485-501 (2009) - [c14]Mario Luca Bernardi, Giuseppe A. Di Lucca, Mariano Ceccato:
Workshop on Maintenance of Aspect Oriented Systems. CSMR 2009: 273-274 - [c13]Mario Luca Bernardi, Giuseppe A. Di Lucca:
Analysing Object Type Hierarchies to Identify Crosscutting Concerns. FGIT 2009: 216-224 - [c12]Mario Luca Bernardi, Giuseppe Antonio Di Lucca:
A role-based crosscutting concerns mining approach to evolve Java systems towards AOP. EVOL/IWPSE 2009: 63-72 - [c11]Mario Luca Bernardi, Giuseppe A. Di Lucca:
ConAn: A Tool for the Identification of Crosscutting Concerns in Object Oriented Systems Based on Type Hierarchy Analysis. WCRE 2009: 319-320 - 2008
- [c10]Mario Luca Bernardi, Giuseppe A. Di Lucca:
A Taxonomy of Interactions Introduced by Aspects. COMPSAC 2008: 726-731 - [c9]Mario Luca Bernardi:
Reverse Engineering of Aspect Oriented Systems to Support their Comprehension, Evolution, Testing and Assessment. CSMR 2008: 290-293 - [c8]Mario Luca Bernardi, Giuseppe A. Di Lucca, Damiano Distante:
Reverse engineering of Web Applications to abstract user-centered conceptual models. WSE 2008: 101-110 - 2007
- [c7]Mario Luca Bernardi, Giuseppe A. Di Lucca:
An Interprocedural Aspect Control Flow Graph to Support the Maintenance of Aspect Oriented Systems. ICSM 2007: 435-444 - [c6]Mario Luca Bernardi, Giuseppe A. Di Lucca:
Testing Aspect Oriented Programs: an Approach Based on the Coverage of the Interactions among Advices and Methods. QUATIC 2007: 65-76 - 2006
- [c5]Mario Luca Bernardi, Giuseppe A. Di Lucca:
Using AOP to Improve Design Patterns Modularity. IASTED Conf. on Software Engineering 2006: 236-241 - [c4]Giuseppe A. Di Lucca, Damiano Distante, Mario Luca Bernardi:
Recovering conceptual models from web applications. SIGDOC 2006: 113-120 - 2005
- [c3]Mario Luca Bernardi, Giuseppe A. Di Lucca:
UsCaAb: A Tool for Abstracting Use Case Diagrams. CSMR 2005: 194 - [c2]Mario Luca Bernardi, Giuseppe A. Di Lucca:
Supporting the Comprehension of Object-oriented Software Systems by Extended M-M Graph. IASTED Conf. on Software Engineering 2005: 55-60 - [c1]Mario Luca Bernardi, Giuseppe A. Di Lucca:
Improving Design Pattern Quality Using Aspect Orientation. STEP 2005: 206-218
Coauthor Index
[j28] [j27] [c108] [c106] [c105] [c104] [c103] [c102] [c101] [c100] [j26] [j25] [j24] [j23] [j22] [j21] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [c86] [j20] [j19] [j18] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [j17] [j16] [j15] [j14] [j13] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [j12] [j11] [j10] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [p1] [j9] [c58] [c57] [c56] [c55] [c54] [j8] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [j6] [j5] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [j4] [c36] [c34] [c33] [j3] [c32] [c31] [c30] [c29] [c27] [c26] [c25] [c24] [c15]
Giuseppe A. Di Lucca
aka: Giuseppe Antonio Di Lucca
aka: Giuseppe Antonio Di Lucca
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