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software testing

3,200 papers

#software testing Open access Sep 2026

NanoRisk-Web: An open-source Bayesian decision-support platform for occupational health risk assessment of engineered nanomaterials

Engineered nanomaterials (ENMs) may pose occupational health risks during handling and application. NanoRisk-Web is an open-source web-based decision-support platform that integrates Bayesian Network modelling with an enhanced control-banding framework for ENM risk assessment. The software predicts hazard levels from p...

Muktar Abdullahi Abdulazeez, Azizul B. Buang, Bamidele Victor Ayodele et al. · 0 citations
#software testing Open access Sep 2026

Prevalence of carbapenem-resistant Klebsiella pneumoniae and associated carbapenemase genes among clinical isolates in Iran: a systematic review and meta-analysis

Background Carbapenem-resistant Klebsiella pneumoniae (CRKP) has emerged as a major global public health threat due to limited treatment options and high morbidity and mortality. This systematic review and meta-analysis aimed to estimate the pooled prevalence of CRKP among clinical isolates in Iran based on studies inc...

Leila Shamkhali, Raheleh Karimiravesh, Neda Baseri · 0 citations
#software testing Open access Sep 2026

BioNano ET Regime Lab

Deterministic browser software for transparent hypothesis testing with reduced-order electron-transfer models at bio-nano interfaces.

Frankie James Rawson · 0 citations
#edge computing Open access Sep 2026

Necessary Physical Conditions for Primary Interoceptive Sentience: A Lakatosian Research Programme on Continuous Neuromorphic Substrates

This is the extended, definitive version (v16.2) of the P0_Distilled research programme, with full technical appendices — it supplements the distilled entry-point paper (P0_Distilled_v0.1) with the complete Lakatosian structure, derivations, and experimental protocol. The programme's hard core is a single metaphysical...

Francesco Iavarone · 0 citations
#software testing Open access Sep 2026

A Reproducible Framework for Economic Cost Analysis of Fetal Alcohol Spectrum Disorder in Healthcare and Criminal Justice Systems

This release corrects the citation metadata included in the archived source code. CITATION.cff identifies version 1.1.2, lists all four authors, and uses the Zenodo DOI for all versions until Zenodo assigns this release its own DOI. The framework remains a proof of concept using synthetic person-level data and software...

Elijah Chukwuebuka Arodiogbu, Stephen Ikechukwu Azumara, Divine Louis et al. · 0 citations
#software testing Open access Sep 2026

Forsythia resource-garden genomic assessment code

Reproducible code for SNP-level allele representation, de-redundancy, targeted supplementation, and portfolio comparisons in Forsythia suspensa resource-garden collections. Version v1.1.0 includes the complete eleven-step analysis workflow, configuration, validation utilities, documentation, and synthetic test inputs....

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

Reproducibility package for: A Cross-Silo Experimental Framework for Federated Voice Deepfake Detection: Heterogeneity, Poisoning, and Update-Cancellation Diagnostics

Data, code, results, and provenance package for the article “A Cross-Silo Experimental Framework for Federated Voice Deepfake Detection: Heterogeneity, Poisoning, and Update-Cancellation Diagnostics.” The package contains recovered original Linear-Frequency Cepstral Coefficient (LFCC)/WavLM notebooks, model checkpoints...

Ihor Serhiienko, Volodymyr O. Artemchuk · 0 citations
#software testing Open access Sep 2026

HFEI-R Africa: Annual Relative Hydro-Fiscal Exposure, 2000–2023

This software and computational reproducibility release supports the article “A continental framework linking hydro-climatic variability and fiscal exposure in Africa (2000–2023)”. The archive provides a fully offline, file-driven Python workflow for reconstructing the revised Hydro-Fiscal Exposure Index (HFEI-R) for A...

Rasoanaivo, Zo Rivomanana · 0 citations
#software testing Open access Sep 2026

DL-MRS: a module-level microglial response score for Alzheimer disease transcriptomics

Analysis code, module definitions and provenance, processed module-level inputs derived from public GEO datasets, fold assignments, preprocessing parameters, and fold-specific neural-network weights supporting the DL-MRS study. The package contains three ensembles: the primary eight-feature model, the common-gene eight...

Lei Ren, Wenhao Ouyang, Zijia Lai et al. · 0 citations
#software testing Open access Sep 2026

DL-MRS: a module-level microglial response score for Alzheimer disease transcriptomics

Analysis code, module definitions and provenance, processed module-level inputs derived from public GEO datasets, fold assignments, preprocessing parameters, and fold-specific neural-network weights supporting the DL-MRS study. The package contains three ensembles: the primary eight-feature model, the common-gene eight...

Lei Ren, Wenhao Ouyang, Zijia Lai et al. · 0 citations
#edge computing Open access Sep 2026

brunetch123/K2-Annotator: K2 Annotator v3.1.0

Release produced from an independent scientific and software review of v3.0.21 against the manuscripts the pipeline implements (Koelmel et al. 2022, Brunet et al. NYCSS manuscript + SI, Kwiecien et al. 2015). Finding IDs (S-* scientific, D-* design) refer to that review; every finding is pinned by a test in the new tes...

Christopher Brunet · 0 citations
#edge computing Dataset Open access Sep 2026

Laboratory dataset for a locally fabricated flat Coanda-effect screen: 52 clear-water runs and model capacity predictions

Laboratory dataset for a locally fabricated flat Coanda-effect screen Fifty-two clear-water runs on a flat Coanda-effect screen intake fabricated from locally available materials, with the measured capture compared against the predictions of the Coanda-effect screen analysis software distributed by the US Bureau of Rec...

Eduardo Carrión Coronel · 0 citations

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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.

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