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software testing

2,653 papers

#software testing Open access Sep 2026

ReProspect - A framework for reproducible prospecting of CUDA applications

ReProspect is a Python framework for prospecting CUDA code, designed to ensure reproducibility through a fully programmatic approach.Prospecting encompasses three complementary ways of characterizing CUDA-based libraries and software components: how they interact with the CUDA runtime through API tracing, how kernels p...

Romin Tomasetti, Maarten Arnst · 0 citations
#software testing Open access Sep 2026

closure_drift: does your version label name exactly one version of your code?

A read-only, zero-dependency tool that measures, over any git repository, whether a declared version label identifies exactly one state of the producing code at the points where that repository publishes. Addressing a published artefact by (input, version) is sound only if the label is injective over closures. Nothing...

Luiz F. Nunes da Silva · 2 citations
#software testing Open access Sep 2026

Quasi-periodic prefactor at golden slope: period-2 structure, Zeckendorf-phase clustering, and separation from two controls

Version 1.1 replaces the attached file. Version 1.0 was published with the DRAFT build of the manuscript attached in error: the file carried DRAFT running heads and a status line reading 'DRAFT - not deposited'. The mathematics is unchanged between the two builds; they differ in the draft markers only. The error was in...

Papanokechi · 2 citations
#software testing Open access Sep 2026

Automated testing and debugging of configuration knowledge bases with direct diagnosis

Abstract Configuration knowledge bases are used to represent commonality and variability properties of physical products as well as software artifacts. These knowledge bases can become quite large and complex and – as a result – are in the need of testing and debugging support. If some test cases become inconsistent wi...

Alexander Felfernig, Viet-Man Le, Damian Garber et al. · 0 citations
#software testing Open access Sep 2026

The Master Unified Field Codex

**The Master Unified Field Codex** represents the definitive, non-perturbative mathematical synthesis of natural philosophy, unifying quantum mechanics, general relativity, non-Abelian gauge theory, algebraic geometry, analytic number theory, thermodynamics, macro-acoustic chemistry, and biophysical embryology into a s...

David Noel Lynch · 0 citations
#software testing Open access Sep 2026

FreeSurfer-based amygdala subfield volumetry in long COVID and ME/CFS: clinical and immunological correlations

Background Long COVID and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) share debilitating symptoms and have been associated with limbic-system dysfunction. We investigated amygdala subfield volumes to identify disease-specific neuroanatomical features and their clinical and immunological correlates. Meth...

Yukio Kimura, Wakiro Sato, Yoko Shigemoto et al. · 0 citations
#software testing Open access Sep 2026

The Field Equations in P: An Anti-Scholarly Treatise on Einstein's Generative NP-Spacetime and Henri Poincaré's Fail-Closed Realization Dynamics

For over a century, theoretical physics has operated under a profound category error: confusing the unconstrained generator of possibilities with the machinery of physical realization. Albert Einstein’s field equations belong fundamentally to the generative NP- space—a static, spatialized Cook–Levin tableau in which al...

Torjusen Marius Egerhei · 0 citations
#software testing Open access Sep 2026

Protocol-Governed Computing: Business Software That Runs on a Domain-Neutral Substrate

The problem Why does a new business domain still require changes to the system that runs it, when other forms of software have long been admitted without changing their substrate? Software has solved this problem before. A new application runs on an operating system nobody rebuilt for it. New bytecode runs on a virtual...

Bhash Ganti · 0 citations
#software testing Review Open access Sep 2026

Integrating Leaf-Image Deep Learning, Meteorological Risk-State Discovery, and Stochastic SICR Dynamics for Potato Early and Late Blight: A Data-Science and Intelligent-Systems Framework

Potato early blight and late blight create substantial agronomic risk, yet leaf-image diagnosis, weather-driven warning, and transmission modeling are often treated as separate tasks. This paper develops an integrated data-science and intelligent-systems frame-work that combines convolutional neural network-based sympt...

Hong-Zhi Zhang, L. P. Varlamova, Jia-Nan Chen · 0 citations
#software testing Open access Sep 2026

The Field Equations in P: An Anti-Scholarly Treatise on Einstein's Generative NP-Spacetime and Henri Poincaré's Fail-Closed Realization Dynamics

For over a century, theoretical physics has operated under a profound category error: confusing the unconstrained generator of possibilities with the machinery of physical realization. Albert Einstein’s field equations belong fundamentally to the generative NP- space—a static, spatialized Cook–Levin tableau in which al...

Torjusen Marius Egerhei · 0 citations

From tech blogs

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Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

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.

MIT News · Artificial Intelligence Oct 2, 2026

Documenting the tech worker movement

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 Sep 23, 2026

Requirements Don’t Live in Isolation: What We’re Exploring with Req-Space

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 Sep 17, 2026

Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering

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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