TL;DR
This research introduces the FAIRE Framework (Formal Architecture for Institutionalizing and Regulating Emergence), a mathematically grounded, four-layer architecture for requirements emerging from human–AI collaboration.
The study addresses the verification of student business plans for transport projects developed with generative AI support. A multiple-case analysis of three team projects reveals a gap between conceptual presentation and the reliability of engineering and economic assumptions. A verifiability index, critical admission...
The rapid proliferation of Generative Artificial Intelligence (GenAI) across the software development life cycle (SDLC) is driving a fundamental paradigm shift in software engineering. While isolated, task-level acceleration has been demonstrated under controlled experimental conditions, enterprise environments face a...
The growing adoption of Large Language Models (LLMs) in Software Engineering has reinforced the expectation that coding activities can be largely automated. However, this perception may represent yet another historical search for a solution capable of eliminating the inherent challenges of software development. This ar...
The introduction of AI coding assistants has significantly increased developer productivity by accelerating code generation at the developer level. However, this acceleration has shifted organizational bottlenecks downstream toward provisioning, security, compliance and operations. To scale efficiently, artificial inte...
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