Skip to content

Category

software testing

3,200 papers

#software testing Open access Sep 2026

Effects of Indigenous Porridges Made from African yam bean (Sphenostylis stenocarpa), and Corn (Zea mays) on the Anthropometric, and Blood Markers of Health in Diabetics

African yam bean Corn porridges could be used in effective diabetes management, and improved the diabetics glycemic curves, total cholesterol, high-density lipoproteins, and TCHO/HDL ratio.

H. Henry-Unaeze · 0 citations
#software testing Dataset Open access Sep 2026

Code and data for: How many directional moments are enough? Sharp symmetry-aware wave-excitation certificates for offshore structures

This version extends the original research dataset supporting “How many directional moments are enough? Sharp symmetry-aware wave-excitation certificates for offshore structures”. It retains the original version 1.0.0 archive and adds the revision code and data: 144 synthetic response evaluations, 576 measured-wave-inp...

Jianing Liu · 0 citations
#software testing Open access Sep 2026

DETEÇÃO AUTOMÁTICA DE MISTURAS DE MATÉRIA-PRIMA TÊXTIL COM RECURSO À LUZ UV E INTELIGÊNCIA COMPUTACIONAL PARA APOIO À TOMADA DE DECISÃO

O presente trabalho descreve o desenvolvimento de um sistema automatizado de deteção de mistura de matéria-prima numa linha de bobinagem têxtil, recorrendo a visão computacional e fluorescência ultravioleta (UV) (365 nm). Sob radiação UV, o poliéster emite fluorescência visível enquanto o nylon permanece opticamente ne...

Mariana Araújo Carneiro · 0 citations
#software testing Open access Sep 2026

DETEÇÃO AUTOMÁTICA DE MISTURAS DE MATÉRIA-PRIMA TÊXTIL COM RECURSO À LUZ UV E INTELIGÊNCIA COMPUTACIONAL PARA APOIO À TOMADA DE DECISÃO

O presente trabalho descreve o desenvolvimento de um sistema automatizado de deteção de mistura de matéria-prima numa linha de bobinagem têxtil, recorrendo a visão computacional e fluorescência ultravioleta (UV) (365 nm). Sob radiação UV, o poliéster emite fluorescência visível enquanto o nylon permanece opticamente ne...

Mariana Araújo Carneiro · 0 citations
#software testing Review Open access Sep 2026

Clinical utility and methodological implementation of smartphone-based mobility analysis: a scoping review

Smartphones provide a widely available platform for multidimensional mobility sensing, but the mapped evidence largely concerns feasibility, technical validation, or associations with clinical status and outcomes, which will require standardized acquisition and reporting, cross-device and cross-platform validation, con...

Edwin H. Y. Lui, Ralph J. Mobbs · 0 citations
#software testing Book Open access Sep 2026

Adapting Socio-Technical Congruence to Human-Agent Collectives

This work contributes a typology of eight incongruence modes as a vocabulary for the structural breakdowns that human-agent collectives produce, specifying a generative model of human-agent collectives and using Monte Carlo simulation to parameterize it.

J. Oppenlaender, Aku Visuri, S. Hosio · 0 citations
#software testing Preprint Sep 2026

Search-Based Metamorphic Testing of Vision-Language Models in Autonomous Underwater Robotic Software

A search-based metamorphic testing approach that identifies a minimal set of transformations on underwater images to induce incorrect model predictions, thereby revealing VLM failures and derive lessons for software engineering practitioners and researchers working on quality assurance of VLM-based software systems.

Muhammad Yousaf, Aitor Arrieta, Shaukat Ali et al. · 0 citations
#software testing Open access Sep 2026

Evaluating artificial intelligence in the diagnosis of hip fractures: an analysis of sensitivity, specificity, positive and negative predictive values, and accuracy.

The Milvue SmartUrgences AI software may provide useful decision support during acute radiographic assessment, but AI output should complement rather than replace clinical and radiological assessment.

M. H. Christensen, Rasmus Elsøe, Firaz Mahdi et al. · 1 citation
#software testing Open access Sep 2026

Adaptive Optics Image Analysis Using Generative AI (GPT-4) Scripting: Exploratory Study.

A preliminary nonvalidated script for cone detection in retinal AO images with support from GPT-4 is developed and before such a script can be used in clinical research, it should undergo more fine-tuning and extensive testing.

J. Pas, Ludo van der Zanden, Yoeri van Leeuwen et al. · 0 citations
#software testing Preprint Sep 2026

gr-PHYSEC: Real-time Channel-based Key Generation for Physical Layer Secure Wireless Communications

Securing wireless communication against eavesdropping is critical, particularly in dynamic and decentralized environments. We present gr-PHYSEC, a new GNU Radio out-of-tree (OOT) module for real-time physical-layer key generation. Unlike traditional key generation that relies on pre-shared secrets or computational comp...

Jose Angel Sanchez Viloria, G. Sklivanitis, D. Pados · 0 citations

From tech blogs

See all →
Microsoft Research Blog Oct 30, 2026

From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence

Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.

Microsoft Research Blog Oct 29, 2026

Microsoft Research Focus – Edition #97

Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.

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.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.