Document 74 // Monograph Series on Causal Inertia & Epistemic Governance Author: Marius Egerhei Torjusen (ORCID: 0009-0006-0431-6637) Affiliation: Chief Architect, ReismannPoint Systems // Brahman Ventures (Locus Zero Research Division, Risør, Norway) Series Lineage: Direct operational, mathematical, and physical succe...
Torjusen Marius Egerhei· Zenodo (CERN European Organi...· 0 citations
Document 74 // Monograph Series on Causal Inertia & Epistemic Governance Author: Marius Egerhei Torjusen (ORCID: 0009-0006-0431-6637) Affiliation: Chief Architect, ReismannPoint Systems // Brahman Ventures (Locus Zero Research Division, Risør, Norway) Series Lineage: Direct operational, mathematical, and physical succe...
Torjusen Marius Egerhei· Zenodo (CERN European Organi...· 0 citations
A large-scale empirical study of quality assurance (QA) practices in 157 open-source LLM-based agent projects with at least 100 GitHub stars highlights the need to move beyond feature-level testing toward systematic end-to-end validation that ensures agent workflows remain within intended boundaries when interacting wi...
Wu-Yang Dai, Moses Openja, Jiho Shin et al.· 0 citations
C++-Eval: A C++ Evaluation Benchmark for Large Language Models C++-Eval is a comprehensive benchmark for evaluating the C++ code generation capabilities of Large Language Models (LLMs), with a focus on complex memory management and industrial-grade software engineering requirements. Dataset Statistics 200 multi-level C...
LZX-zx-em· Zenodo (CERN European Organi...· 0 citations
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The proposed computer vision framework represents a cost-effective advancement in surgical digitisation, enabling accurate instrument tracking using standard video data and supporting future optimisation of orthopaedic surgical practice with significant implications for clinical research.
M. Paraskevaidis, David Alexander Back, Elian Niklas Oudintsov et al.· Surgical Innovation· 0 citations
It was found that the velocity is positively affected by higher values of porosity and Reynolds number, particularly in the case of wall deformation, while the temperature distribution behaves the opposite way as it is affected by wall injection and suction under higher Reynolds number and porosity conditions.
Shuang-Cen Li, Muflih Alhazmi, S. Hilali et al.· SLAS technology· 0 citations
Use case flows are important elements of use case modeling because they support downstream software engineering activities, including requirements analysis, architectural and detailed design, and test case generation. However, constructing them manually is costly and expertise-intensive, while existing automated approa...
Guang-Yu Wang, Bang-Qi Li, Ji Wu et al.· 0 citations
By making failure cheap to locate and correct, this work is a foundation for more trustworthy long-horizon agents that learn from their own mistakes, and a practical path to overseeing increasingly autonomous AI.
Salman Rahman, Y. Kim, Mihir Parmar et al.· 0 citations
This project verified that generating robust and reliable software using agentic AI requires careful practice and human supervision and demonstrated that using agentic AI workflow for software development (with its prompts and skills) can become a specification of the code that leads to cost-effective sustainability of...
Ayesha Shafique, Barton P. Miller, E. Heymann· 0 citations
heteroTests is an R package for heteroscedasticity diagnostics in linear-model workflows. It provides a consistent interface for classical variance diagnostics including White, Breusch-Pagan, Koenker, Goldfeld-Quandt, group-wise variance tests and ARCH-related checks, together with streaming implementations, simulation...
Diogo Ribeiro· Zenodo (CERN European Organi...· 0 citations
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.
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…
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.
