The paper proposes an architectural pattern for integrating non-deterministic language models with deterministic edge systems, ensuring replayability and auditing.

The paper analyzes UK NIS Regulations data, finding that while 29% of reported incidents are cybersecurity related, the current regulations are limited in scope compared to the volume and nature of si…

The paper presents an end-to-end LLM pipeline and interactive dashboard designed to automatically extract and structure topics from massive volumes of regulatory consultation submissions, ensuring ful…

The paper proposes a DAO and blockchain-based framework to decentralize and incentivize community participation in facility management, demonstrating its potential for collective building upkeep.

This paper conducts a large-scale audit of human annotation reporting in NLP, finding that while reporting has improved, critical details needed to assess annotation validity, such as training and agr…

The paper proposes a zero-trust supply-chain assurance rubric for O-RAN RIC applications to secure the entire lifecycle, from development to runtime.

The paper critiques current AI benchmarking practices for low-resource settings, arguing that evaluation must shift focus from isolated model performance to the holistic performance of the deployed sy…

This paper demonstrates the development of a culturally grounded, AI-augmented User Experience Research Point of View (POV) for a telemedicine dementia care framework in Nigeria, providing a replicabl…

This experience report details the process and developer perceptions of integrating log-based fraud detection into an Agile workflow, providing practical best practices for embedding security analytic…

This paper compares four requirements elicitation approaches using AI-supported collaboration and evaluates their impact on requirements artifact quality and stakeholder perceptions.

The paper introduces a Generative AI-augmented User Experience Research (UXR) methodology, operationalized through a four-stage process, to create actionable, stigma-aware design guidance for digital…

This paper conducts rapid reviews of peer-reviewed publications to assess the availability of evidence on software engineering practices in government agencies.

This paper introduces a new benchmark dataset and evaluation framework for 'data snapshot extraction,' focusing on identifying and localizing semantically meaningful analytical artifacts within operat…

AmBox is a system that integrates ambient sensors directly with a blockchain to provide secure, verifiable, and tamper-resistant data for enhanced food traceability throughout the supply chain.

This pilot study investigates SME readiness for Zero Trust Architecture (ZTA) and proposes a realistic three-stage adoption path based on survey data from IT professionals.

The paper describes the 2026 MOASEI Competition, which evaluates multi-agent decision-making under open-system conditions in wildfire fighting, cybersecurity, and ride-sharing domains.

This paper identifies and conceptualizes common and divergent regulatory data protection requirements (RDPRs) worldwide using interviews with legal experts and content analysis of data protection regu…

The paper proposes a method using on-chain voting analysis to detect emerging partisan communities within DAOs, demonstrating that addresses destined to fork cluster together months before actual orga…