Pasquale Ardimento

According to our database, Pasquale Ardimento authored at least 52 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Evo-GUNet3++: Using evolutionary algorithms to train UNet-based architectures for efficient 3D lung cancer detection.

Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone

Appl. Soft Comput., September, 2023

Enhancing Bug-Fixing Time Prediction with LSTM-Based Approach.

Pasquale Ardimento

Proceedings of the Product-Focused Software Process Improvement, 2023

UML Miner: A Tool for Mining UML Diagrams.

Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Vito Alessandro Carella, Marta Cimitile, Michele Scalera

Proceedings of the ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2023

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

Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering, 2023

CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector.

Giuseppina Andresini, Annalisa Appice, Pasquale Ardimento, Andrea Antonio Brunetta, Antonio Giuseppe Doronzo, Giuseppe Ieva, Francesco Luce, Donato Malerba, Vincenzo Pasquadibisceglie

Proceedings of the AIxIA 2023 - Advances in Artificial Intelligence, 2023

2022

Just-in-time software defect prediction using deep temporal convolutional networks.

Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino

Neural Comput. Appl., 2022

Using deep temporal convolutional networks to just-in-time forecast technical debt principal.

Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino

J. Syst. Softw., 2022

Fuzzy-based Process Mining to Discover the Coding Behavior: Challenges and Future Works.

Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile

Proceedings of the First Workshop on Online Learning from Uncertain Data Streams (OLUD 2022) co-located with IEEE World Congress on Computational Intelligence (WCCI 2022), 2022

Design patterns mining using neural sub-graph matching.

Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Predicting Bug-Fixing Time: DistilBERT Versus Google BERT.

Pasquale Ardimento

Proceedings of the Product-Focused Software Process Improvement, 2022

Flipping the Laboratory in an Academic Course on Object-Oriented Paradigm.

Pasquale Ardimento, Michele Scalera

Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2022

Predicting Bug-Fixing Time Using the Latent Dirichlet Allocation Model with Covariates.

Pasquale Ardimento, Nicola Boffoli

Proceedings of the Evaluation of Novel Approaches to Software Engineering, 2022

A Supervised Generative Topic Model to Predict Bug-fixing Time on Open Source Software Projects.

Pasquale Ardimento, Nicola Boffoli

Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering, 2022

2021

Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics.

Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino

Neurocomputing, 2021

Deep Neural Networks Ensemble for Lung Nodule Detection on Chest CT Scans.

Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile

Proceedings of the International Joint Conference on Neural Networks, 2021

Transfer Learning for Just-in-Time Design Smells Prediction using Temporal Convolutional Networks.

Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino

Proceedings of the 16th International Conference on Software Technologies, 2021

2020

A Text-Based Regression Approach to Predict Bug-Fix Time.

Pasquale Ardimento, Nicola Boffoli, Costantino Mele

Proceedings of the Complex Pattern Mining - New Challenges, Methods and Applications, 2020

A Machine Learning Approach for Walker Identification Using Smartphone Sensors.

Antonio Angrisano, Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Salvatore Gaglione

Proceedings of the Complex Pattern Mining - New Challenges, Methods and Applications, 2020

Reusing Bugged Source Code to Support Novice Programmers in Debugging Tasks.

Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo

ACM Trans. Comput. Educ., 2020

Software Analytics to Support Students in Object-Oriented Programming Tasks: An Empirical Study.

Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile

IEEE Access, 2020

Data-Aware Declarative Process Mining for Malware Detection.

Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Temporal Convolutional Networks for Just-in-Time Software Defect Prediction.

Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile

Proceedings of the 15th International Conference on Software Technologies, 2020

Towards automatic assessment of object-oriented programs.

Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

Experimentation of Flipped Learning in a University Course on Object-Oriented Programming Paradigm.

Pasquale Ardimento, Michele Scalera

Proceedings of the Bridges and Mediation in Higher Distance Education, 2020

Multi Software Product Lines: A Systematic Mapping Study.

Pasquale Ardimento, Nicola Boffoli, Giuseppe Superbo

Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering, 2020

Using BERT to Predict Bug-Fixing Time.

Pasquale Ardimento, Costantino Mele

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

Malware Phylogeny Analysis using Data-Aware Declarative Process Mining.

Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

Training in a Virtual Learning Environment: A Process Mining Approach.

Annalisa Appice, Pasquale Ardimento, Donato Malerba, Giuseppe Modugno, Diego Marra, Marco Mottola

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

2019

Mining Developer's Behavior from Web-Based IDE Logs.

Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo

Proceedings of the 28th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2019

Evaluating coding behavior in software development processes: a process mining approach.

Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi

Proceedings of the International Conference on Software and System Processes, 2019

On the Students' Misconceptions in Object-Oriented Language Constructs.

Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile

Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2019

Learning analytics to improve coding abilities: a fuzzy-based process mining approach.

Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018

A Multi-source Machine Learning Approach to Predict Defect Prone Components.

Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile

Proceedings of the 13th International Conference on Software Technologies, 2018

2017

Knowledge extraction from on-line open source bug tracking systems to predict bug-fixing time.

Pasquale Ardimento, Andrea Dinapoli

Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, 2017

2016

Predicting Bug-Fix Time: Using Standard Versus Topic-Based Text Categorization Techniques.

Pasquale Ardimento, Massimo Bilancia, Stefano Monopoli

Proceedings of the Discovery Science - 19th International Conference, 2016

2014

Experience Formalized as a Service for Geographical and Temporal Remote Collaboration.

Pasquale Ardimento, Danilo Caivano, Giuseppe Visaggio

Proceedings of the IIAI 3rd International Conference on Advanced Applied Informatics, 2014

2013

Building a Knowledge Experience Base for Facilitating Innovation.

Pasquale Ardimento, Vito Nicola Convertini, Giuseppe Visaggio

Int. J. E Serv. Mob. Appl., 2013

Distributed Software Development with Knowledge Experience Packages.

Pasquale Ardimento, Marta Cimitile, Giuseppe Visaggio

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2013 Workshops, 2013

2009

Empirical Validation of Knowledge Packages as Facilitators for Knowledge Transfer.

Pasquale Ardimento, Maria Teresa Baldassarre, Marta Cimitile, Giuseppe Visaggio

J. Inf. Knowl. Manag., 2009

2008

Empirical Investigation of the Efficacy and Efficiency of Tools for Transferring Software Engineering Knowledge.

Pasquale Ardimento, Danilo Caivano, Marta Cimitile, Giuseppe Visaggio

J. Inf. Knowl. Manag., 2008

An Empirical Study on Software Engineering Knowledge/Experience Packages.

Pasquale Ardimento, Marta Cimitile

Proceedings of the Product-Focused Software Process Improvement, 2008

Controlled Experiment on Search Engine Knowledge Extraction Capabilities.

Pasquale Ardimento, Danilo Caivano, Maria Teresa Baldassarre, Marta Cimitile, Giuseppe Visaggio

Proceedings of the ICSOFT 2008, 2008

2007

Empirical Experimentation for Validating the Usability of Knowledge Packages in Transferring Innovations.

Pasquale Ardimento, Maria Teresa Baldassarre, Marta Cimitile, Giuseppe Visaggio

Proceedings of the Software and Data Technologies - Second International Conference, 2007

Empirical Validation on Knowledge Packaging Supporting Knowledge Transfer.

Pasquale Ardimento, Maria Teresa Baldassarre, Marta Cimitile, Giuseppe Visaggio

Proceedings of the ICSOFT 2007, 2007

A maintenance oriented Framework for software components characterization.

Pasquale Ardimento, Giovanni Bruno, Danilo Caivano, Giuseppe Visaggio

Proceedings of the 11th European Conference on Software Maintenance and Reengineering, 2007

2006

Assessing multiview framework (MF) comprehensibility and efficiency: A replicated experiment.

Pasquale Ardimento, Maria Teresa Baldassarre, Danilo Caivano, Giuseppe Visaggio

Inf. Softw. Technol., 2006

2005

Tecnologia per il global software development (GSD).

Pasquale Ardimento

PhD thesis, 2005

Innovation Diffusion through Empirical Studies.

Pasquale Ardimento, Maria Teresa Baldassarre, Danilo Caivano, Giuseppe Visaggio

Proceedings of the 17th International Conference on Software Engineering and Knowledge Engineering (SEKE'2005), 2005

Decision Tables for Knowledge Acquisition during Goal Interpretation.

Pasquale Ardimento, Maria Teresa Baldassarre, Danilo Caivano, Giuseppe Visaggio

Proceedings of the 17th International Conference on Software Engineering and Knowledge Engineering (SEKE'2005), 2005

Empirical Investigation for Building Competences: A case for Extraordinary Maintenance.

Pasquale Ardimento, Alessandro Bianchi, Nicola Boffoli, Giuseppe Visaggio

Proceedings of the 17th International Conference on Software Engineering and Knowledge Engineering (SEKE'2005), 2005

2004

Multiview Framework for Goal Oriented Measurement Plan Design.

Pasquale Ardimento, Maria Teresa Baldassarre, Danilo Caivano, Giuseppe Visaggio

Proceedings of the Product Focused Software Process Improvement, 2004

Maintenance-Oriented Selection of Software Components.

Pasquale Ardimento, Alessandro Bianchi, Giuseppe Visaggio

Proceedings of the 8th European Conference on Software Maintenance and Reengineering (CSMR 2004), 2004