IEEE

Cross-Project Code Smell Detection as a Dynamic Optimization Problem: An Evolutionary Memetic Approach

Abstract: Code smells signal poor software design that can prevent maintainability and scalability. Identifying code smells is difficult because of the large volume of code, considerable detection ...

From LLM-First to Code-First: Lessons From Building Enterprise AI Systems

We moved away from an LLM-first approach and shifted toward a code-first architecture with bounded AI assistance.

Will Your AI-Built Apps Actually Work? Four Steps Every Enterprise Must Take

​AI can generate code, but it isn’t sufficient on its own to test it. Paired with stronger QA practices that ensure ...
IEEE

A Hybrid Machine Learning Approach for Predicting Power Transformer Failures Using Internet of Things-Based Monitoring and Explainable Artificial Intelligence

Abstract: Power transformers are critical components in ensuring the continuous and stable operation of power systems. Failures in these units can lead to significant power outages and costly downtime ...