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2,998 papers
This flagship white paper develops an engineering governance architecture for product classification and conformity assessment under the Cyber Resilience Act (CRA). Its central thesis is that product classification is not a marketing label and conformity assessment is not a one-time paperwork choice. The exact product...
This reproducibility package accompanies the manuscript “Comparative Constraint in Psychological Theory Testing: An Event-Time Framework for Action Initiation.” The archive contains Python code and machine-readable outputs for the synthetic methodological analyses reported in the manuscript and supplementary material....
Version 1.0.0 of the core Python calculation modules accompanying the manuscript Estimating Sa and Sq directly from half the scan lines. Software The package implements complete-grid, half-line and half-point sampling supports, coordinate-area and equal-observation weighting, separate weighted plane removal for each su...
Ensuring the architectural quality of software systems in continuous development is an urgent task of modern software engineering. The work is devoted to the development of a method for quantitatively assessing the metrics of the evolutionary architecture of software systems in continuous integration and delivery (CI/C...
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Findings demonstrate that the proposed IoT-based TPMS offers a practical, low-cost, and reliable solution for improving motorcycle safety through continuous tire condition monitoring.
This paper examines a common but unverified claim in a strand of published work applying automata theory to game design: that specifying a game as a finite automaton yields a complete, bug-resistant design. Prior work has already modeled endless-running games with finite state machines, including tested, shipped implem...
We present a framework in which a large language model (LLM) acts as a state-conditioned software control layer for solid isotropic material with penalization (SIMP) topology optimization, selecting continuation parameters from the current solver state rather than a fixed open-loop schedule. Every k th iteration, the L...
Amidst the evolution of digital tools in the fields of rehabilitation medicine and orthopedics, the "Console App: Guided Plantar Footprint Assessment & Parametric Orthotic Insole Specification" emerges as a specialized technical aid. It is designed to support professionals in assessing plantar footprints and determinin...
Pre-registration of twenty-one tests bearing on the 20 GeV Galactic halo excess and on a Gaia-tracer / gamma-residual alignment, frozen before the corresponding data exist. It fixes the region of interest, the estimator (partial rank correlation with |b| and θ_GC controlled), two null generators with a fixed seed, and...
Abstract Quantum computations execute on noisy hardware whose effective noise is opaque and varies across platforms and over time. Complete descriptions of the underlying noise channel are often too detailed for reasoning, comparison, or analysis. We therefore study the semantic problem of constructing tractable abstra...
The research contends that data quality, controllability of generated outputs, and rigorous developer review are critical to the efficacy of AI-enhanced Test-Driven Development (TDD) methodology.
Artificial Intelligence (AI) has progressed from rule-based software and statistical prediction systems to highly capable foundation models, autonomous agents, multimodal systems, and AI-enabled tools that can plan and execute multi-step tasks. A particularly important development is the increasing ability of AI system...
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
GPT-Lab
· gpt-lab.eu
Sep 23, 2026
Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…
GPT-Lab
· gpt-lab.eu
Sep 17, 2026
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
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