As web applications continue to grow in complexity and scale, traditional manual and rule-based testing approaches are no longer sufficient. Ensuring quality, reliability, and performance in modern web systems requires more adaptive and intelligent testing solutions. Artificial Intelligence (AI) has emerged as a powerful tool for transforming automated software testing processes. This conference paper focuses […]

The rapid scaling of Large Language Models (LLMs) such as GPT and BERT has led to significant computational costs, increased energy consumption, and substantial financial overhead. This conference paper investigates techniques for reducing resource usage during the training of LLMs while maintaining a balance between model accuracy and operational cost. A central approach examined in […]

With the rapid progress of Large Language Models (LLMs) such as GPT-4, OpenAI Codex, and AI-powered tools like GitHub Copilot, automated code generation has become a transformative innovation in software engineering. This conference paper, presented at the 6th International Conference on Artificial Intelligence and Its Future Prospects in Electrical, Computer, Mechanical and Telecommunication Engineering Sciences, […]

As the scale of Internet of Things (IoT) applications expands, distributed edge computing environments face acute energy consumption challenges due to latency demands and resource constraints. This conference paper introduces a machine learning-driven framework designed to optimize energy usage across heterogeneous edge and cloud resources. By leveraging adaptive workload distribution and reinforcement learning algorithms, the […]

Optimizing performance is a central challenge in modern software engineering as applications grow in complexity and demand. Two key performance indicators—program runtime and memory usage—directly impact efficiency, scalability, and operational costs. This conference paper presents a comprehensive review of recent research (2021–2025) on using Machine Learning (ML) techniques to enhance runtime and memory efficiency in […]