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software testing

3,195 papers

#software testing Open access Sep 2026

RenalGenetics Decision Support

A Shiny-based decision-support tool for non-genetics nephrology clinicians navigating NHS genomic testing pathways for suspected inherited renal disease. Covers eligibility scoring across 12 NHS genomic testing panels, a Bayesian diagnostic model spanning 24 gene-level conditions, and a variant interpretation module (1...

Tom Oates · 0 citations
#software testing Dataset Open access Sep 2026

ExFiT: Ensemble-based Excited-State Character Fingerprinting across Temperatures

Repository Description This repository contains all data, computational outputs, and analysis scripts used for the ExFiT study: Ensemble-based Excited-State Character Fingerprinting across Temperatures. It provides equilibrium geometries, finite-temperature Wigner ensembles, quantum-chemical outputs, excited-state desc...

A. Roy, Jacek W. Waluk, Daniel T. Gryko et al. · 0 citations
#federated learning Open access Sep 2026

Correctness Debt at the Execution Boundary: How Type-System Gaps, Semantic Ambiguity, Harness Lifecycle Debt, Format Divergence, and Verification Theater Jointly Define a Structural Deficit in Deployed Software Infrastructure

This version (2026-09-26) corrects a citation error found by an automated check and confirmed by hand against the arXiv abstracts. Version 2 cited the identifier 2607.07314, an unrelated federated-learning paper posted after this synthesis was drafted, for the quantum software debugging paper that notes quantum bugs "o...

Saluca Agentic AI Research Team · 0 citations
#large language models Open access Sep 2026

Supply-Chain Trust at Runtime: How Agent Skill Injection, Inference-System Fingerprinting, Distributed Attack Evasion, and Speculative Disclosure Define a New Execution-Time Threat Topology

Version 3 (2026-09-26) corrects a citation error in versions 1 and 2 and a false correction added in version 2, found by an independent audit and confirmed by re-checking every cited arXiv abstract. The inference-system fingerprinting findings, one of the four topics named in the title, were cited to arXiv:2605.29960;...

Saluca Agentic AI Research Team · 0 citations
#software testing Dataset Open access Sep 2026

pyTMD Developers Test Data

Description Model outputs required to run the test suite of the pyTMD tide prediction software. Disclaimer All models are owned and maintained by their developers. pyTMD is only licensed to use these models for scientific use and is not responsible for their upkeep. Please cite the original reference for each model if...

Tyler Clark Sutterley · 0 citations
#software testing Open access Sep 2026

Checking the Check: Controls, Corpus Alignment, and Scale Invariance in Evaluation Software

Evaluation frameworks turn model outputs into the scores that benchmarks, leaderboards and deployment decisions rely on, and the scoring code itself also requires direct checks. We test four evaluation frameworks (DeepEval, TruLens, lighteval and HELM) and one metrics library (TorchMetrics) with three checks: does a sc...

Jared Condon · 0 citations
#software testing Open access Sep 2026

Checking the Check: Controls, Corpus Alignment, and Scale Invariance in Evaluation Software

Evaluation frameworks turn model outputs into the scores that benchmarks, leaderboards and deployment decisions rely on, and the scoring code itself also requires direct checks. We test four evaluation frameworks (DeepEval, TruLens, lighteval and HELM) and one metrics library (TorchMetrics) with three checks: does a sc...

Jared Condon · 0 citations

Refined State-Error-Based Model Predictive Control and Flight Testing of Eagle of Taihu 10: A Canard-Configured Tail-Sitter Technology Demonstrator

As the size of tail-sitter electric vertical take-off and landing (eVTOL) aircraft increases, significant challenges have arisen due to a lower thrust-to-weight ratio, more nonlinear aerodynamics during transition, and slower control response. To support the design and implementation of the flight control system for th...

Zhi-Xiong Xu, Guang-Wei Wen, Yi-Xin Hu et al. · 0 citations

Impact of Surgical Resection on Tumor Growth Dynamics in Pediatric Pilocytic Astrocytomas

INTRODUCTION Pilocytic astrocytoma (PA) is the most common pediatric brain tumor and generally exhibits slow growth and favorable outcomes. However, postoperative growth behavior of residual or recurrent tumors remains variable and not well quantified. This retrospective study aims to quantify the tumor growth velocity...

Daute De Brucker, Nele Herregods, Simon Hautekeete et al. · 0 citations
#software testing Open access Sep 2026

Research Notes on ζ(9): Constructions, Computations, and Open Problems

Version 0.1 is a work-in-progress research note on the irrationality of ζ(9), documenting research conducted on 24–25 September 2026. This note does not claim a proof of the irrationality of ζ(9). The record documents nine research rounds, including rational-function constructions of linear forms A·ζ(9)+B, a Gram-deter...

Yuxuan Xu · 0 citations
#software testing Open access Sep 2026

DendroGeo: Küresel Ağaç Envanteri ve Karbon Veri Sistemi

🌲 DendroGeo v3.0.0 — Küresel Ağaç Envanteri ve Karbon Veri Sistemi Açık kaynak web CBS + PWA · dendrogeo.org · github.com/snansrin/dendrogeo · Lisans: CC BY-NC 4.0 DendroGeo; sahada GPS ile toplanan ağaç ölçümlerini allometrik biyokütle ve karbon hesaplarına, park kimliği bazlı toplulaştırmalara ve 10 m çözünürlüklü a...

Nagihan ŞİRİN, Sinan ŞİRİN · 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.

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