Pasquale Ardimento - Research Activity

Curriculum - Research - Publications - Teaching - Theses - Contacts

Research Overview

I am an Associate Professor at the University of Bari Aldo Moro (disciplinary-scientific sector ING-INF/05 - Information Processing Systems). My research integrates computational intelligence, software modeling, and educational technologies, with the goal of enhancing the learning and development experience of software practitioners — especially novices — through intelligent tools and analytics.

Main Research Areas

🧩 AI-Enhanced Software Modeling and Education

To support novice modelers, I designed and implemented UML Miner, a Visual Paradigm plug-in that logs user interactions as event logs, enabling conformance checking and feedback. The tool compares learner modeling behaviors against expert reference models, providing personalized guidance to improve learning outcomes.

⚙️ Process Mining for Software Engineering

  • Analyzing modeling behavior and student dynamics in SE courses.
  • Understanding decision-making strategies in modeling tasks.
  • Detecting misconceptions and behavioral patterns through process mining techniques.

🔧 Code Analysis and Predictive Maintenance

  • Investigating developer coding behavior and software design practices.
  • Predicting bug-fixing time using large language models (e.g., BERT, DistilBERT, ALBERT).
  • Assessing object-oriented program design to support quality assurance and refactoring.

⚠️ Just-in-Time Software Defect Prediction

I develop deep learning-based models, including Temporal Convolutional Networks, to identify defect-prone components just before code changes are made, supporting proactive maintenance.

Academic Community Engagement

I serve as:

  • Program Committee, Session Chair and Workshop Organizer in international conferences such as IJCNN, PROFES, and HELMeTO.
  • Reviewer for top-tier journals including IEEE Access, Applied Soft Computing, and Journal of Systems and Software.
  • Participant in regional, national and international research projects applying AI and process mining to education and industry.
pubblicato il 02/09/2013 ultima modifica 01/10/2025

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