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software testing

3,268 papers

#software testing Open access Sep 2026

Combining Annotation Software to Identify Orthologous Genes (CASIO) Provides a New Dataset of Orthologous Genes for Swallowtail Butterflies

A semi‐automated pipeline is developed and four genomic annotation methods (BRAKER2, BUSCO, Miniprot and Scipio) are compared to suggest that combining these tools can yield more accurate results in genomic research.

Gwenaëlle Vigo, Benjamin Penaud, Eliette L. Reboud et al. · 0 citations
#software testing Preprint Sep 2026

Violet: Enabling Full Virtualization for M-mode RTOS on RISC-V

Violet combines RISC-V's virtualization features with software-based emulation, enabling the execution of unmodified M-mode RTOSs, and was implemented on the SiFive HiFive Premier P550 hardware, demonstrating that existing RTOSs can run on Violet's VM and that coexistence with GPOSs like Linux is also possible.

Taro Kito, Ryosuke Yamamoto, Keisuke Horii et al. · 0 citations
#explainable ai Open access Sep 2026

Code for: Deep Learning for Odontoid Fractures: The Critical Role of Patient-Level Partitioning and Grad-CAM Verification in Model Generalization

Description This repository contains the complete, reproducible PyTorch source code for the study "Deep Learning for Odontoid Fractures: The Critical Role of Patient-Level Partitioning and Grad-CAM Verification in Model Generalization". The codebase implements an end-to-end deep learning framework designed to eliminate...

Yunus Emre Kıymaz, Şakir Taşdemir, Burak Gezer et al. · 0 citations
#explainable ai Open access Sep 2026

Beyond Traditional Engineering: How BIM Is Reshaping Engineering

This conceptual working paper introduces the Integrated BIM-to-Decision Framework, a six-layer architecture that connects the origin of information demand to accountable engineering decisions and closes the process through structured feedback. It addresses a persistent limitation in BIM implementation: the tendency to...

Housien Al khadraa · 0 citations
#explainable ai Open access Sep 2026

Code for: Deep Learning for Odontoid Fractures: The Critical Role of Patient-Level Partitioning and Grad-CAM Verification in Model Generalization

Description This repository contains the complete, reproducible PyTorch source code for the study "Deep Learning for Odontoid Fractures: The Critical Role of Patient-Level Partitioning and Grad-CAM Verification in Model Generalization". The codebase implements an end-to-end deep learning framework designed to eliminate...

Yunus Emre Kıymaz, Şakir Taşdemir, Burak Gezer et al. · 0 citations
#large language models Open access Sep 2026

Automated Risk of Bias Assessment in Systematic Reviews Using Large Language Models: A Multi-Model Single-Agent Benchmark on 227 Randomised Controlled Trials

Code and data accompanying a benchmark of eleven large language models on zero-shot Cochrane Risk of Bias 1.0 assessment of 227 randomised controlled trials drawn from 123 Cochrane systematic reviews published in 2024. The deposit has two independent halves. The first is the assessment pipeline: a containerised web app...

Luiz Felipe Guain Teixeira, Cassiano Pereira de Barros, Victor Alexandre dos Santos Valsecchi et al. · 0 citations
#large language models Open access Sep 2026

Artifact of Live Noise Fingerprints as an Empirical Semantics for Noisy Quantum Channels

Abstract Quantum computations execute on noisy hardware whose effective noise is opaque and varies across platforms and over time. Complete descriptions of the underlying noise channel are often too detailed for reasoning, comparison, or analysis. We therefore study the semantic problem of constructing tractable abstra...

Anonymous for Peer Review · 0 citations
#software testing Open access Sep 2026

PrintPulse: An Evidence-Audit Tool for FDM Vibration Monitoring

PrintPulse is portable offline software for auditing evidence in fused deposition modeling (FDM) vibration-monitoring studies. It verifies recording integrity, G-code and label dependence, timing controls, replication, control experiments, and the strongest claim supported by the supplied evidence. The software provide...

Suliman Badour · 0 citations
#software testing Open access Sep 2026

Walking on Thin Ice?: Defending RAG-based Code Recommender Systems Against Poisoning Attacks

Large Language Models (LLMs) have been extensively adopted in software engineering to automate various tasks, including code comment generation, debugging, testing, and most notably, code generation. Retrieval-Augmented Code Generation (RACG) further enhances LLMs by incorporating external code repositories at inferenc...

Vu Hai Dang · 0 citations

Influencer Marketing Practices and Brand Performance of Selected Smart Phone Firms in South-South Nigeria

The study examined the effect of influencer marketing practices on brand performance of selected smart phone firms in the South-South Nigeria. The general objective of the study is to examine the effect of influencer marketing practices on brand performance of selected smart phone firms in south-south Nigeria. The spec...

O. J. DIEMUODEKE · 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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