Luiz Capretz

Professor of Software Engineering

Western University

Canada

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Dr. Luiz Capretz is a Professor of Software Engineering at Western University, Canada. His research interests encompass software defect prediction, customer churn prediction, and the integration of generative AI tools in software testing education. Recent publications reflect a focus on empirical analyses and innovative methodologies in software engineering and knowledge management systems.

Luiz Capretz

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Articles (19)

Empirical Analysis of Data Sampling-Based Decision Forest Classifiers for Software Defect Prediction

Exploring the Integration of Generative AI Tools in Software Testing Education: A Case Study on ChatGPT and Copilot for Preparatory Testing Artifacts in Postgraduate Learning

Empirical analysis of tree-based classification models for customer churn prediction

Sampling-based novel heterogeneous multi-layer stacking ensemble method for telecom customer churn prediction

If you build it, will they come? Exploring the success factors of knowledge management systems in the Malaysian public sector

Interpretable Software Defect Prediction from Project Effort and Static Code Metrics

Beyond the Seeds: Fairness Testing via Counterfactual Analysis of Non-Seed Instances

Ensemble Balanced Nested Dichotomy Fuzzy Models for Software Requirement Risk Prediction

Software Requirement Risk Prediction Using Enhanced Fuzzy Induction Models

Evaluating the Efficacy of Intelligent Methods for Maximum Power Point Tracking in Wind Energy Harvesting Systems

Investigating the Power of LSTM-Based Models in Solar Energy Forecasting

Myths and Facts About a Career in Software Testing: A Comparison Between Students’ Beliefs and Professionals’ Experience

Intelligent Decision Forest Models for Customer Churn Prediction

Towards the sustainability of small and medium software enterprises through the implementation of software process improvement: Empirical investigation

Effectiveness of Using Augmented Reality for Training in the Medical Professions: Meta-analysis

Empirical Analysis of Forest Penalizing Attribute and Its Enhanced Variations for Android Malware Detection

Classifications of Sustainable Factors in Blockchain Adoption: A Literature Review and Bibliometric Analysis

Effectiveness of Artificial Intelligence Models for Cardiovascular Disease Prediction: Network Meta-Analysis

Detecting Cybersecurity Attacks in Internet of Things Using Artificial Intelligence Methods: A Systematic Literature Review

Collaborators (2)

Hammed Mojeed

Abdul Rehman Gilal

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