The rise of AI tools such as GitHub Copilot and ChatGPT has reshaped software development by providing substantial support for coding and debugging tasks. Although these tools enhance productivity and reduce routine workload, existing research has largely emphasized short-term efficiency gains, leaving their long-term cognitive and pedagogical effects insufficiently explored. This study investigates the cognitive trade-offs associated with sustained reliance on generative AI, with particular attention to students and junior developers. Recent empirical findings indicate that excessive dependence on AI assistance may weaken deep debugging skills, impede conceptual understanding, and challenge... More >

The Industrial Internet of Things (IIoT) is central to smart manufacturing, enabling real-time automation, data exchange, and system intelligence. However, the convergence of cyber-physical systems with legacy software and heterogeneous architectures introduces significant security challenges. This paper explores how software engineering principles can be strategically employed to enhance IIoT security by integrating threat modeling into the development lifecycle. In this study, we review classic models such as STRIDE, DREAD, and STPA-Sec, and evaluate their effectiveness when applied at various phases of the Secure Software Development Life Cycle (SSDLC). STRIDE focuses on classifying secur... More >