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software testing

3,200 papers

#software testing Open access Sep 2026

Local AI Telemetry Report 2026: which local AI tools phone home, and what they send

Local model does not mean local software. This first-edition report from Stridenalysis, the research desk of StrideNote, brings together eleven investigations published between June and August 2026 on one question: what does a local AI tool send from the machine it runs on? Seven tools from a working local AI stack wer...

StrideNote · 0 citations
#software testing Open access Sep 2026

featuretree: Verified Recovery of Editable CAD Feature Trees from STEP, for Open CAD Systems

Importing a STEP file into a parametric CAD system yields a single frozen solid: the design history is gone, and no pad depth or hole diameter can be edited. Recovering that history is a well-studied problem — the acceptance criterion used here was stated as a definition by Gupta and Nau in 1995, and commercial impleme...

Daniel Newcome · 0 citations
#software testing Open access Sep 2026

CDRS-E

CDRS-E 0.1.0rc1 is a software-only release candidate for auditablecoordinate-constrained dynamical representation selection. This Zenodo record is designed to archive the exact source-and-tests ZIPassociated with the public GitHub pre-release v0.1.0rc1. The software isbound to commit 892abf572ddbc17bc5370129cd755640e67...

Antonio Clim · 0 citations
#software testing Open access Sep 2026

PooledScreenAudit: auditing control-associated prediction in pooled variant-effect screens

PooledScreenAudit 0.4.0 is an installable Python implementation for auditing control-associated prediction in pooled variant-effect screens. Starting from prepared variant–condition and residue-level matrices, it provides matched prediction with and without control features, rank-aware representation geometry, size-mat...

niu niu, Wei Fang, Wenjuan Li et al. · 0 citations
#software testing Open access Sep 2026

Be Careful about Validator Switch: A Safety Attack to Binance Smart Chain

This repository contains the code, experiment workflows, and collected test data for reproducing safety attack experiments on isolated Binance Smart Chain (BSC) test networks. The artifact covers four experiment families: a warm-up attack, a committee divergence attack, parameter-adjustment experiments, and a geo-distr...

Rujia Li · 0 citations
#software testing Open access Sep 2026

featuretree: Verified Recovery of Editable CAD Feature Trees from STEP, for Open CAD Systems

Importing a STEP file into a parametric CAD system yields a single frozen solid: the design history is gone, and no pad depth or hole diameter can be edited. Recovering that history is a well-studied problem — the acceptance criterion used here was stated as a definition by Gupta and Nau in 1995, and commercial impleme...

Daniel Newcome · 0 citations
#software testing Open access Sep 2026

HPWS and Employee Outcomes among Healthcare Professionals: The Moderating Role of Organizational Justice, and the Mediating Role of Employee Engagement in Shaping Employee Performance and OCB

In an ever-evolving, high-demand, and resource-constrained healthcare environment, it is imperative that healthcare administrators and policy makers understand both theoretically and practically the influence of organizational practices on employees’ behaviour. This study, drawing on Resource-Based View (RBV), AMO-Fram...

Waseem Ahmed, Abang Azlan Mohamad, Lo May Chiun · 0 citations
#software testing Dataset Open access Sep 2026

SiteGuard: data and final models for diagnosing reference support and selection failures in enzyme annotation

Final data and study-trained models supporting Diagnosing reference support and selection failures in enzyme annotation, version 2.6.0. The archive includes historical candidate-support and restoration results, sequence-separated evaluation, paired CLEAN comparisons, query/component diagnoses, saved scores and final fi...

Yugeng Liu · 0 citations
#software testing Dataset Open access Sep 2026

Data, Code, and Model Artifacts for "Event-based Rainfall–Runoff Modeling with Hydrology-Aware Temporal Convolutional Networks: A Single-Basin Case Study"

This record contains the data, code, trained model artifacts, and evaluation outputs supporting the manuscript “Event-based Rainfall–Runoff Modeling with Hydrology-Aware Temporal Convolutional Networks: A Single-Basin Case Study.” The study evaluates an event-based hydrology-aware Temporal Convolutional Network (TCN) u...

Sidar Aksakal, Recep Çelik · 0 citations
#software testing Open access Sep 2026

Do Published HumanEval Rankings Survive Local Deployment?

Benchmark software, a preregistered protocol, completed five-model primary artifacts, controls, a StarCoder2 stopping-rule ablation, and a technical report testing whether the HumanEval ranking in Qwen2.5-Coder Table 5 survives local deployment.

Jaiveer Bassi · 0 citations
#software testing Open access Sep 2026

robertolocatelli81-dev/cryptovalid-opencore: cryptovalid-opencore 0.14.0 — checkpoints, witnesses, split-view evidence, SCITT

0.14.0 — checkpoints, witness cosignatures, split-view and freshness (2026-09-19) Two limits declared in the README since 2026-08-17 — split-view / equivocation and rollback / freshness were "future work" — are now measured features, built with the transparency ecosystem's own formats so that the ecosystem's own softwa...

robertolocatelli81-dev · 0 citations
#software testing Open access Sep 2026

Fail-closed validation with LD-graph anomaly triage for regional eQTL–GWAS integration: multi-tissue benchmarking in coronary artery disease and heart failure

Versioned software and reproducibility materials for fail-closed regional eQTL–GWAS integration. Version 0.2.0 includes synthetic verification, locked protocols, tests, aggregate audit outputs, a multi-signal robustness experiment, LD-GuardNet signed-LD graph anomaly triage with model checkpoints, and a frozen multi-ti...

Zhiyong Tao, Yi Wei Zhang, Chulin Zhong et al. · 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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