Pasquale Ardimento

59 papers B 12C 8Misc 1Journal 11Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A RAG-Enhanced AI Feedback for UML Education. AIED Companion (2) Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera
2025	J	`jnl`	A novel LLM-based classifier for predicting bug-fixing time in Bug Tracking Systems. J. Syst. Softw. Pasquale Ardimento, Michele Capuzzimati, Gabriella Casalino, Daniele Schicchi, Davide Taibi
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
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`	Enhancing Software Modeling Learning with AI-Powered Scaffolding. MoDELS (Companion) Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera
2024	B	`conf`	Teaching UML using a RAG-based LLM. IJCNN Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
2023	—	`conf`	CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector. AI*IA Giuseppina Andresini, Annalisa Appice, Pasquale Ardimento, Andrea Antonio Brunetta, Antonio Giuseppe Doronzo, Giuseppe Ieva, Francesco Luce, Donato Malerba, Vincenzo Pasquadibisceglie
2023	—	`conf`	Enhancing Bug-Fixing Time Prediction with LSTM-Based Approach. PROFES (2) Pasquale Ardimento
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	B	`conf`	Managing Domain Analysis in Software Product Lines with Decision Tables: An Approach for Decision Representation, Anomaly Detection and Resolution. ENASE Nicola Boffoli, Pasquale Ardimento, Alessandro Nicola Rana
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
2022	B	`conf`	A Supervised Generative Topic Model to Predict Bug-fixing Time on Open Source Software Projects. ENASE Pasquale Ardimento, Nicola Boffoli
2022	Misc	`conf`	Design patterns mining using neural sub-graph matching. SAC Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
2022	—	`conf`	Flipping the Laboratory in an Academic Course on Object-Oriented Paradigm. HELMeTO Pasquale Ardimento, Michele Scalera
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	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	—	`conf`	Predicting Bug-Fixing Time Using the Latent Dirichlet Allocation Model with Covariates. ENASE (Selected Papers) Pasquale Ardimento, Nicola Boffoli
2022	B	`conf`	Predicting Bug-Fixing Time: DistilBERT Versus Google BERT. PROFES Pasquale Ardimento
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
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`	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	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	—	`ch.`	A Text-Based Regression Approach to Predict Bug-Fix Time. Complex Pattern Mining Pasquale Ardimento, Nicola Boffoli, Costantino Mele
2020	B	`conf`	Data-Aware Declarative Process Mining for Malware Detection. IJCNN Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
2020	—	`conf`	Experimentation of Flipped Learning in a University Course on Object-Oriented Programming Paradigm. HELMeTO Pasquale Ardimento, Michele Scalera
2020	—	`conf`	Malware Phylogeny Analysis using Data-Aware Declarative Process Mining. EAIS Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
2020	B	`conf`	Multi Software Product Lines: A Systematic Mapping Study. ENASE Pasquale Ardimento, Nicola Boffoli, Giuseppe Superbo
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
2020	—	`conf`	Training in a Virtual Learning Environment: A Process Mining Approach. EAIS Annalisa Appice, Pasquale Ardimento, Donato Malerba, Giuseppe Modugno, Diego Marra, Marco Mottola
2020	—	`conf`	Using BERT to Predict Bug-Fixing Time. EAIS Pasquale Ardimento, Costantino Mele
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`	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	C	`conf`	A Multi-source Machine Learning Approach to Predict Defect Prone Components. ICSOFT Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
2017	—	`conf`	Knowledge extraction from on-line open source bug tracking systems to predict bug-fixing time. WIMS Pasquale Ardimento, Andrea Dinapoli
2016	B	`conf`	Predicting Bug-Fix Time: Using Standard Versus Topic-Based Text Categorization Techniques. DS Pasquale Ardimento, Massimo Bilancia, Stefano Monopoli
2014	—	`conf`	Experience Formalized as a Service for Geographical and Temporal Remote Collaboration. IIAI-AAI Pasquale Ardimento, Danilo Caivano, Giuseppe Visaggio
2013	J	`jnl`	Building a Knowledge Experience Base for Facilitating Innovation. Int. J. E Serv. Mob. Appl. Pasquale Ardimento, Vito Nicola Convertini, Giuseppe Visaggio
2013	—	`conf`	Distributed Software Development with Knowledge Experience Packages. OTM Workshops Pasquale Ardimento, Marta Cimitile, Giuseppe Visaggio
2009	J	`jnl`	Empirical Validation of Knowledge Packages as Facilitators for Knowledge Transfer. J. Inf. Knowl. Manag. Pasquale Ardimento, Maria Teresa Baldassarre, Marta Cimitile, Giuseppe Visaggio
2008	B	`conf`	An Empirical Study on Software Engineering Knowledge/Experience Packages. PROFES Pasquale Ardimento, Marta Cimitile
2008	—	`conf`	Controlled Experiment on Search Engine Knowledge Extraction Capabilities. ICSOFT (PL/DPS/KE) Pasquale Ardimento, Danilo Caivano, Maria Teresa Baldassarre, Marta Cimitile, Giuseppe Visaggio
2008	J	`jnl`	Empirical Investigation of the Efficacy and Efficiency of Tools for Transferring Software Engineering Knowledge. J. Inf. Knowl. Manag. Pasquale Ardimento, Danilo Caivano, Marta Cimitile, Giuseppe Visaggio
2007	—	`conf`	A maintenance oriented Framework for software components characterization. CSMR Pasquale Ardimento, Giovanni Bruno, Danilo Caivano, Giuseppe Visaggio
2007	—	`conf`	Empirical Experimentation for Validating the Usability of Knowledge Packages in Transferring Innovations. ICSOFT/ENASE (Selected Papers) Pasquale Ardimento, Maria Teresa Baldassarre, Marta Cimitile, Giuseppe Visaggio
2007	—	`conf`	Empirical Validation on Knowledge Packaging Supporting Knowledge Transfer. ICSOFT (PL/DPS/KE/MUSE) Pasquale Ardimento, Maria Teresa Baldassarre, Marta Cimitile, Giuseppe Visaggio
2006	J	`jnl`	Assessing multiview framework (MF) comprehensibility and efficiency: A replicated experiment. Inf. Softw. Technol. Pasquale Ardimento, Maria Teresa Baldassarre, Danilo Caivano, Giuseppe Visaggio
2005	C	`conf`	Decision Tables for Knowledge Acquisition during Goal Interpretation. SEKE Pasquale Ardimento, Maria Teresa Baldassarre, Danilo Caivano, Giuseppe Visaggio
2005	C	`conf`	Empirical Investigation for Building Competences: A case for Extraordinary Maintenance. SEKE Pasquale Ardimento, Alessandro Bianchi, Nicola Boffoli, Giuseppe Visaggio
2005	C	`conf`	Innovation Diffusion through Empirical Studies. SEKE Pasquale Ardimento, Maria Teresa Baldassarre, Danilo Caivano, Giuseppe Visaggio
2005	—	`—`	Tecnologia per il global software development (GSD). Pasquale Ardimento
2004	—	`conf`	Maintenance-Oriented Selection of Software Components. CSMR Pasquale Ardimento, Alessandro Bianchi, Giuseppe Visaggio
2004	B	`conf`	Multiview Framework for Goal Oriented Measurement Plan Design. PROFES Pasquale Ardimento, Maria Teresa Baldassarre, Danilo Caivano, Giuseppe Visaggio