| 2026 | ICSoft | From Data Lifting to Risk Estimation: A Process-Aware Pipeline for Clinical Pathway Monitoring. | Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Samuele Latorre |
| 2026 | WorldCIST | Improving Hospital Process Management Through Process Mining: A Case Study on COVID-19 Clinical Pathways. | Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Samuele Latorre |
| 2026 | WorldCIST | Blazor BEADs: Reducing Fragmentation in Web UI Development. | Pasquale Ardimento, Nicola Boffoli, Michele Scalera |
| 2026 | WorldCIST | Bug-Fixing Time Prediction: ALBERT, DistilBERT, and Google BERT Compared. | Pasquale Ardimento, Nicola Boffoli, Michele Scalera |
| 2025 | AIED | A RAG-Enhanced AI Feedback for UML Education. | Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera |
| 2025 | ICSoft | Back to the Model: UML Miner and the Power of Process Mining. | Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera |
| 2024 | IJCNN | Teaching UML using a RAG-based LLM. | Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile |
| 2024 | MODELS | A RAG-based Feedback Tool to Augment UML Class Diagram Learning. | Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera |
| 2024 | MODELS | Enhancing Software Modeling Learning with AI-Powered Scaffolding. | Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera |
| 2023 | ENASE | Managing Domain Analysis in Software Product Lines with Decision Tables: An Approach for Decision Representation, Anomaly Detection and Resolution. | Nicola Boffoli, Pasquale Ardimento, Alessandro Nicola Rana |
| 2023 | ENASE | Operationalizing Decision Tables: A Step-by-Step Framework for Efficient Software Product Line Customization. | Nicola Boffoli, Pasquale Ardimento, Mattia Rigante |
| 2023 | MODELS | UML Miner: A Tool for Mining UML Diagrams. | Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Vito Alessandro Carella, Marta Cimitile, Michele Scalera |
| 2023 | PROFES | Enhancing Bug-Fixing Time Prediction with LSTM-Based Approach. | Pasquale Ardimento |
| 2022 | ENASE | A Supervised Generative Topic Model to Predict Bug-fixing Time on Open Source Software Projects. | Pasquale Ardimento, Nicola Boffoli |
| 2022 | ENASE | Predicting Bug-Fixing Time Using the Latent Dirichlet Allocation Model with Covariates. | Pasquale Ardimento, Nicola Boffoli |
| 2022 | PROFES | Predicting Bug-Fixing Time: DistilBERT Versus Google BERT. | Pasquale Ardimento |
| 2022 | SAC | Design patterns mining using neural sub-graph matching. | Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile |
| 2021 | IJCNN | Deep Neural Networks Ensemble for Lung Nodule Detection on Chest CT Scans. | Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile |
| 2021 | ICSoft | Transfer Learning for Just-in-Time Design Smells Prediction using Temporal Convolutional Networks. | Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino |
| 2020 | ENASE | Multi Software Product Lines: A Systematic Mapping Study. | Pasquale Ardimento, Nicola Boffoli, Giuseppe Superbo |
| 2020 | IJCNN | Data-Aware Declarative Process Mining for Malware Detection. | Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile |
| 2020 | ICSE | Towards automatic assessment of object-oriented programs. | Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile |
| 2020 | ICSoft | Temporal Convolutional Networks for Just-in-Time Software Defect Prediction. | Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile |
| 2019 | WETICE | Mining Developer's Behavior from Web-Based IDE Logs. | Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo |
| 2018 | ICSoft | A Multi-source Machine Learning Approach to Predict Defect Prone Components. | Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile |
| 2016 | DIS | Predicting Bug-Fix Time: Using Standard Versus Topic-Based Text Categorization Techniques. | Pasquale Ardimento, Massimo Bilancia, Stefano Monopoli |
| 2008 | ICSoft | Controlled Experiment on Search Engine Knowledge Extraction Capabilities. | Pasquale Ardimento, Danilo Caivano, Maria Teresa Baldassarre, Marta Cimitile, Giuseppe Visaggio |
| 2008 | PROFES | An Empirical Study on Software Engineering Knowledge/Experience Packages. | Pasquale Ardimento, Marta Cimitile |
| 2007 | ICSoft | Empirical Validation on Knowledge Packaging Supporting Knowledge Transfer. | Pasquale Ardimento, Maria Teresa Baldassarre, Marta Cimitile, Giuseppe Visaggio |
| 2007 | ICSoft | Empirical Experimentation for Validating the Usability of Knowledge Packages in Transferring Innovations. | Pasquale Ardimento, Maria Teresa Baldassarre, Marta Cimitile, Giuseppe Visaggio |
| 2005 | SEKE | Empirical Investigation for Building Competences: A case for Extraordinary Maintenance. | Pasquale Ardimento, Alessandro Bianchi, Nicola Boffoli, Giuseppe Visaggio |
| 2005 | SEKE | Decision Tables for Knowledge Acquisition during Goal Interpretation. | Pasquale Ardimento, Maria Teresa Baldassarre, Danilo Caivano, Giuseppe Visaggio |
| 2005 | SEKE | Innovation Diffusion through Empirical Studies. | Pasquale Ardimento, Maria Teresa Baldassarre, Danilo Caivano, Giuseppe Visaggio |
| 2004 | PROFES | Multiview Framework for Goal Oriented Measurement Plan Design. | Pasquale Ardimento, Maria Teresa Baldassarre, Danilo Caivano, Giuseppe Visaggio |