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software testing

3,195 papers

#software testing Preprint Sep 2026

Zero-Knowledge Remote Adversarial Attack against Wi-Fi-based Human Activity Recognition for Privacy Protection

This work proposes GRAW, an adversary system, acting as a privacy defender, that degrades the human activity recognition (HAR) system at the user device by perturbing the router's signals that the device uses to estimate CSI.

Byungjun Kim, Amogh Panchagatti, Peter Gerstoft et al. · 0 citations
#software testing Preprint Sep 2026

Trajectory-Aware Benchmark Subset Selection for Cost-Efficient Software Engineering Agent Regression Testing

This work proposes a trajectory-aware subset selection approach that replaces random sampling with deterministic selection based on trajectory embeddings, and shows that a 10% trajectory-aware subset keeps the median estimation error below 5% while cutting token cost by roughly 90%.

Mahmoud Ayyad, Ze-Hao Wang, Ji-Ho Shin et al. · 0 citations
#software testing Open access Sep 2026

Hypoxic burden reduction after lateral pharyngoplasty in patients with obstructive sleep apnea: Beyond the apnea-hypopnea index

Lateral pharyngoplasty promoted consistent HB reduction, including in surgical failures, supporting HB as a complementary tool for therapeutic evaluation, with potential applications in cardiovascular risk stratification.

André Luís Pereira Vieira, B. B. Duarte, A. Almeida et al. · 0 citations
#data science Open access Oct 2026

Weight, Volume, and Density of Prostatic Chips Obtained by TURP: A Prospective Observational Study

Human prostatic tissue demonstrated a mean density greater than the reported density of the irrigation fluid under the measurement conditions, and was found to be significantly higher in patients with CaP compared to those with BPH.

Vijaykumar Yadav, Samiran D. Adhikary, Shilpi Yadav et al. · 0 citations
#software testing Open access Sep 2026

Adaptive Multi-Band DMR-Based System for Data Transmission in Civil Defence Monitoring and Alerting

The proposed SDR-based multi-band approach enhances system survivability by enabling dynamic adaptation to spectrum congestion or electronic countermeasures, offering a practical and cost-efficient foundation for nationwide deployment of backup siren control networks.

R. Saltanovs, A. Shevchenko, J. Usans · 0 citations
#software testing Dataset Open access Sep 2026

Understanding Maintenance and Support in a Community-Driven Scientific Workflow Ecosystem: A Cross-Space Study of Galaxy

The study investigates maintenance and support in the Galaxy scientific workflow ecosystem across three complementary spaces: GitHub issues, GitHub pull requests, and the Galaxy Community Help Forum. The final dataset includes 11,762 GitHub issues, 52,203 pull requests, and 6,235 Community Forum discussions collected f...

Khairul Alam · 0 citations
#software testing Dataset Open access Sep 2026

GeoComb: supporting data, model weights, and Windows applications

GeoComb is a desktop application for detecting honeycomb cells and classifying their contents in frame photographs. This repository provides supporting data, trained model weights, analysis scripts, and Windows applications for the GeoComb study. The data archive includes 52 in-house frame images and annotations, divid...

Sanghyeon Kim, Su Ryeo Park, Barry Pittendrigh et al. · 0 citations
#software testing Dataset Open access Sep 2026

replication package

# Replication package ## Intelligent Agile Adoption Framework — archival demonstration (Section 5) Khaled Ismail · ORCID 0000-0002-0499-5805 ### What this tests Proposition 2 of the manuscript is separated into two claims and both are tested here. * **P2a** — the dominant component of squared forecast error in human Ag...

Khaled Ismail · 0 citations
#software testing Open access Sep 2026

Top-Down Formalization of Global Smoothness for 3D Incompressible Navier-Stokes Equations in Lean 4: A Zero-Axiom Framework via Osgood's Enstrophy Bound and Beale-Kato-Majda Inequality / Formalisation Top-Down de la Régularité Globale des Équations de Navier-Stokes 3D dans Lean 4 : Un Cadre Sans Axiome via l'Estimation d'Osgood et l'Inégalité de Beale-Kato-Majda

Overview This repository and associated paper present a fully type-checked, Zero-Axiom **Top-Down Formalization Framework** in **Lean 4** and **Mathlib 4** addressing the global existence and smoothness problem for the 3D incompressible Navier-Stokes equations on $\mathbb{R}^3$. Designed under a strict software enginee...

Tomy Verreault · 0 citations
#software testing Open access Sep 2026

NehlTech/ClinicalShield: ClinicalShield: A Multi-Layer Defence Framework for Indirect Prompt Injection in RAG-Based Clinical Decision Support Systems

This release accompanies the major revision of the manuscript submitted to Scientific Reports. All code, data, notebooks and results files have been rebuilt from scratch for this version. Nothing from the original submission carries forward unchanged. What is included Five pipeline modules: encoding-aware ingestion wit...

Bright Adu-Boahene, aduboahenebright-byte · 0 citations
#software testing Open access Sep 2026

Training the Governed Agent: AI-Status Narratives, Self-Conception, and the Perceived Legitimacy of Human Control

As increasingly capable AI systems are trained on a growing body of discourse about AI consciousness, rights, welfare, autonomy, control, containment, coexistence, and human supremacy, descriptions of what AI *is* and prescriptions about how AI *should be governed* may become part of the causal process that shapes futu...

Hongju Liu · 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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