Volume 16, Number 1  (2026)

CONTENTS

Empirical Evaluation of AI-Assisted Code Generation for Improving Software Development Productivity
Arvind Narayanan and Meera Krishnamurthy

A Data-Driven Framework for Predicting Software Defects Using Development Process Metrics
Rohit Chatterjee and Ananya Mukherjee

Continuous Integration Practices and Their Impact on Software Quality: An Industrial Empirical Study
Gautam Srivastava and Niharika Saxena

Automated Requirements Prioritization Using Natural Language Processing and Stakeholder Feedback
Sameer Bhatnagar and Radhika Menon

A Machine Learning Approach to Early Prediction of Software Project Failure
Ishaan Kapoor and Pallavi Raghavan

Empirical Assessment of Microservice Architecture Migration in Large-Scale Enterprise Applications
Christoph Neumann and Sabine Keller

Mining Software Repositories for Identifying Patterns of Code Quality Evolution
Jonas Richter and Miriam Vogel

An Automated Framework for Detecting Code Smells in Object-Oriented Software Systems
Stefan Albrecht and Nadine Schuster

Measuring the Effectiveness of Test-Driven Development in Agile Software Projects
Marco De Santis and Francesca Rinaldi

Knowledge-Based Software Engineering for Automated Requirements Classification
Élodie Martin and Antoine Lefèvre

Predictive Analytics for Software Maintenance Effort Estimation Using Historical Project Data
Julien Moreau and Céline Bernard

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