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Modern software evolves rapidly, accumulates architectural debt, and develops cross-module dependencies that complicate reliable maintenance. We present EvoGraphCoder, an evolutionary graph-reasoning framework for self-a...

In recent years, Large Language Models (LLMs) and Generative Artificial Intelligence (GenAI) have gained significant momentum in the automation of software development. Although, previous research studies have also explo...

The validity of research findings critically depends on the selection of software samples. However, Mining Software Repositories studies often rely on outdated datasets and lack systematic, transparent procedures for rep...

Currently, numerous vocational colleges have incorporated practical training courses focused on automated production lines. However, due to spatial constraints and insufficient availability of physical equipment, the imp...

Industry 4.0 has brought numerous advantages, such as increasing productivity through automation. However, it also presents major cybersecurity issues, such as cyberattacks affecting industrial processes. Federated Learn...

Attacks on network components and devices pose a significant threat to service continuity, necessitating robust detection mechanisms. This paper presents a Distributed Denial of Service (DDoS) attack detection framework ...

Solar peer-to-peer (P2P) energy trading is a promising approach that allows prosumers and consumers to exchange energy directly, which reduces dependence on the centralized power grid. However, implementing such a P2P en...