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Pasquale Ardimento
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- affiliation: University of Bari Aldo Moro, Italy
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2020 – today
- 2024
- [c41]Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile:
Teaching UML using a RAG-based LLM. IJCNN 2024: 1-8 - 2023
- [j10]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) - [c40]Giuseppina Andresini
CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector. AI*IA 2023: 205-217 - [c39]Nicola Boffoli
Managing Domain Analysis in Software Product Lines with Decision Tables: An Approach for Decision Representation, Anomaly Detection and Resolution. ENASE 2023: 182-192 - [c38]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 - [c37]Pasquale Ardimento
Enhancing Bug-Fixing Time Prediction with LSTM-Based Approach. PROFES (2) 2023: 68-79 - 2022
- [j9]Pasquale Ardimento
Using deep temporal convolutional networks to just-in-time forecast technical debt principal. J. Syst. Softw. 194: 111481 (2022) - [j8]Pasquale Ardimento
Just-in-time software defect prediction using deep temporal convolutional networks. Neural Comput. Appl. 34(5): 3981-4001 (2022) - [c36]Pasquale Ardimento
Predicting Bug-Fixing Time Using the Latent Dirichlet Allocation Model with Covariates. ENASE (Selected Papers) 2022: 139-152 - [c35]Pasquale Ardimento, Nicola Boffoli
A Supervised Generative Topic Model to Predict Bug-fixing Time on Open Source Software Projects. ENASE 2022: 233-240 - [c34]Pasquale Ardimento
Flipping the Laboratory in an Academic Course on Object-Oriented Paradigm. HELMeTO 2022: 776-788 - [c33]Pasquale Ardimento
Predicting Bug-Fixing Time: DistilBERT Versus Google BERT. PROFES 2022: 610-620 - [c32]Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile:
Design patterns mining using neural sub-graph matching. SAC 2022: 1545-1553 - [c31]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
- [j7]Pasquale Ardimento
Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics. Neurocomputing 463: 454-471 (2021) - [c30]Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile:
Using Process Mining to Understand Students' and Teams' Dynamics. HELMeTO 2021: 63-73 - [c29]Pasquale Ardimento
Transfer Learning for Just-in-Time Design Smells Prediction using Temporal Convolutional Networks. ICSOFT 2021: 310-317 - [c28]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 - 2020
- [j6]Pasquale Ardimento
Software Analytics to Support Students in Object-Oriented Programming Tasks: An Empirical Study. IEEE Access 8: 132171-132187 (2020) - [j5]Pasquale Ardimento
Reusing Bugged Source Code to Support Novice Programmers in Debugging Tasks. ACM Trans. Comput. Educ. 20(1): 2:1-2:24 (2020) - [c27]Annalisa Appice, Pasquale Ardimento
Training in a Virtual Learning Environment: A Process Mining Approach. EAIS 2020: 1-8 - [c26]Pasquale Ardimento
Malware Phylogeny Analysis using Data-Aware Declarative Process Mining. EAIS 2020: 1-8 - [c25]Pasquale Ardimento
Using BERT to Predict Bug-Fixing Time. EAIS 2020: 1-7 - [c24]Pasquale Ardimento
Multi Software Product Lines: A Systematic Mapping Study. ENASE 2020: 470-476 - [c23]Pasquale Ardimento
Experimentation of Flipped Learning in a University Course on Object-Oriented Programming Paradigm. HELMeTO 2020: 243-255 - [c22]Pasquale Ardimento
Towards automatic assessment of object-oriented programs. ICSE (Companion Volume) 2020: 276-277 - [c21]Pasquale Ardimento
Temporal Convolutional Networks for Just-in-Time Software Defect Prediction. ICSOFT 2020: 384-393 - [c20]Pasquale Ardimento
Data-Aware Declarative Process Mining for Malware Detection. IJCNN 2020: 1-8 - [p2]Pasquale Ardimento
A Text-Based Regression Approach to Predict Bug-Fix Time. Complex Pattern Mining 2020: 63-83 - [p1]Antonio Angrisano, Pasquale Ardimento
A Machine Learning Approach for Walker Identification Using Smartphone Sensors. Complex Pattern Mining 2020: 229-247
2010 – 2019
- 2019
- [c19]Pasquale Ardimento
Learning analytics to improve coding abilities: a fuzzy-based process mining approach. FUZZ-IEEE 2019: 1-7 - [c18]Pasquale Ardimento
On the Students' Misconceptions in Object-Oriented Language Constructs. HELMeTO 2019: 97-112 - [c17]Pasquale Ardimento
Evaluating coding behavior in software development processes: a process mining approach. ICSSP 2019: 84-93 - [c16]Pasquale Ardimento
Mining Developer's Behavior from Web-Based IDE Logs. WETICE 2019: 277-282 - 2018
- [c15]Pasquale Ardimento
A Multi-source Machine Learning Approach to Predict Defect Prone Components. ICSOFT 2018: 306-313 - 2017
- [c14]Pasquale Ardimento
Knowledge extraction from on-line open source bug tracking systems to predict bug-fixing time. WIMS 2017: 7:1-7:9 - 2016
- [c13]Pasquale Ardimento
Predicting Bug-Fix Time: Using Standard Versus Topic-Based Text Categorization Techniques. DS 2016: 167-182 - 2014
- [c12]Pasquale Ardimento
Experience Formalized as a Service for Geographical and Temporal Remote Collaboration. IIAI-AAI 2014: 48-53 - 2013
- [j4]Pasquale Ardimento
Building a Knowledge Experience Base for Facilitating Innovation. Int. J. E Serv. Mob. Appl. 5(4): 40-49 (2013) - [c11]Pasquale Ardimento
Distributed Software Development with Knowledge Experience Packages. OTM Workshops 2013: 263-273
2000 – 2009
- 2009
- [j3]Pasquale Ardimento
Empirical Validation of Knowledge Packages as Facilitators for Knowledge Transfer. J. Inf. Knowl. Manag. 8(3): 229-240 (2009) - 2008
- [j2]Pasquale Ardimento
Empirical Investigation of the Efficacy and Efficiency of Tools for Transferring Software Engineering Knowledge. J. Inf. Knowl. Manag. 7(3): 197-207 (2008) - [c10]Pasquale Ardimento, Danilo Caivano, Maria Teresa Baldassarre, Marta Cimitile, Giuseppe Visaggio:
Controlled Experiment on Search Engine Knowledge Extraction Capabilities. ICSOFT (PL/DPS/KE) 2008: 388-395 - [c9]Pasquale Ardimento
An Empirical Study on Software Engineering Knowledge/Experience Packages. PROFES 2008: 289-303 - 2007
- [c8]Pasquale Ardimento
A maintenance oriented Framework for software components characterization. CSMR 2007: 58-70 - [c7]Pasquale Ardimento, Maria Teresa Baldassarre, Marta Cimitile, Giuseppe Visaggio:
Empirical Validation on Knowledge Packaging Supporting Knowledge Transfer. ICSOFT (PL/DPS/KE/MUSE) 2007: 212-218 - [c6]Pasquale Ardimento
Empirical Experimentation for Validating the Usability of Knowledge Packages in Transferring Innovations. ICSOFT/ENASE (Selected Papers) 2007: 357-370 - 2006
- [j1]Pasquale Ardimento
Assessing multiview framework (MF) comprehensibility and efficiency: A replicated experiment. Inf. Softw. Technol. 48(5): 313-322 (2006) - 2005
- [b1]Pasquale Ardimento:
Tecnologia per il global software development (GSD). University of Bari, Italy, 2005 - [c5]Pasquale Ardimento, Maria Teresa Baldassarre, Danilo Caivano, Giuseppe Visaggio:
Decision Tables for Knowledge Acquisition during Goal Interpretation. SEKE 2005: 404-407 - [c4]Pasquale Ardimento, Alessandro Bianchi, Nicola Boffoli, Giuseppe Visaggio:
Empirical Investigation for Building Competences: A case for Extraordinary Maintenance. SEKE 2005: 695-700 - [c3]Pasquale Ardimento, Maria Teresa Baldassarre, Danilo Caivano, Giuseppe Visaggio:
Innovation Diffusion through Empirical Studies. SEKE 2005: 701-706 - 2004
- [c2]Pasquale Ardimento
Maintenance-Oriented Selection of Software Components. CSMR 2004: 115-124 - [c1]Pasquale Ardimento
Multiview Framework for Goal Oriented Measurement Plan Design. PROFES 2004: 159-173
Coauthor Index
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