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software testing

3,351 papers

#software testing Open access Aug 2026

FROM HARVEST TO PACKAGE: AN AUTONOMOUS ROBOT FOR INTEGRATED TOMATO PICKING AND BAGGING

In addressing the high labor costs and low operational efficiency of greenhouse tomato harvesting and separate packaging workflows, this study develops an integrated tomato harvesting robotic system embedded with RGB-D machine vision, 5-degree-of-freedom manipulator and vertical heat-sealing net bag packaging mechanism...

Yan-Hua Ying, Dong-Ya Li, Jia-Hui Hu et al. · 0 citations
#software testing Open access Sep 2026

CBCT Analysis of Maxillary and Sphenoidal Sinuses for Forensic Age and Gender Estimation: A Retrospective Study

The CBCT imaging of the maxillary and sphenoidal sinuses provides valuable morphometric data that can aid in forensic identification, and demonstrate measurable differences across age and gender, supporting their utility as supplementary tools in forensic profiling.

Amruta J. Potekar, Rashmi Venkatesh, Chandramani B. More et al. · 0 citations
#software testing Open access Sep 2026

Prevalence and Predictors of Patent Ductus Arteriosus on Day 3 and Day 7 in Preterm Neonates: A Prospective Observational Study

Lower gestational age and lower birth weight were significantly associated with persistence of PDA, indicating prematurity as a major determinant, highlighting PDA as a prevalent condition contributing significantly to early complications and death.

Avinash Shukla, Amar M. Taksande · 0 citations
#software testing Open access Nov 2026

How Classification Models Degrade as Data Diminish: A Multi-Criteria Analysis of Tabular Classifiers Under Controlled Data Scarcity

Tree-based models exhibited the largest reductions in accuracy and the steepest increases in calibration error under scarcity, whereas logistic regression preserved threshold balance and probability calibration at negligible computational cost.

Jairo Devon A. Daquioag, E. Ayo · 0 citations
#small language model Open access Aug 2026

Let’s read the log: root cause analysis of railway test execution logs with large language models

Results showed that long-context LLMs tended to achieve higher accuracy than smaller models, suggesting that LLMs are currently better suited to support human-in-the-loop root cause analysis than to fully automate it, and motivating further work to improve prediction accuracy for log-based RCA.

Rahmanu Hermawan, Alessio Bucaioni, Eduard Paul Enoiu et al. · 0 citations
#software testing Open access Aug 2026

Serum Albumin and Uric Acid Levels Among Hypertensive Patients in Northwest Ethiopia: A Comparative Cross‐Sectional Study

It is demonstrated that the prevalence of hypoalbuminemia and hyperuricemia was higher in hypertensive patients than the controls, and albuminuria was a significant predictor of hypoalbuminemia and hyperuricemia.

Arega Zenaw, B. Biadgo, Getnet Fetene et al. · 0 citations
#small language model Review Open access Feb 2026

An Ontology for Workplace Violence: Protocol to support Cross-sector Incident Reporting in Public Services.

BACKGROUND Underreporting is a defining problem in the registration of workplace violence across public services. This is reinforced by inconsistent, often poor incident descriptions and the absence of a clear, shared nomenclature. Without an ontology-backed structure, similar events are recorded differently across set...

I. Steenhout, Ronald Buyl · 0 citations
#software testing Open access Aug 2026

GIS-based multi-criteria landslide susceptibility assessment in the Northwestern Himalaya, Jammu and Kashmir, India

This study presents a landslide susceptibility assessment using multiple parameters by integrating remote sensing, GIS, and field observations in the Jammu and Kashmir region. Eight contributing variables were selected for landslide susceptibility analysis: Land Use and Land Cover (LULC), proximity to roads, streams, s...

A. S. Jasrotia, Amit Sharma, I. C. Das et al. · 0 citations

Are we achieving what the algorithm tells us? Analysis of lumbar pedicle subtraction osteotomies with pre-bent rods.

Computer-assisted planning with patient-specific rods accurately reproduced the intended PSO and segmental lumbar correction but did not reliably predict global sagittal parameters, suggesting current planning tools might require refinement to improve the accuracy of predicted postoperative alignment using pre-bent rod...

Renzo A. Laynes, Rafael Garcia de Oliveira, Kenneth T. Nguyen et al. · 0 citations
#software testing Open access Sep 2026

Spinal meningiomas: histopathological grading using a benchmark radiomics model with notes on disease control.

A benchmark radiomics model to preoperatively identify the histological grade of spinal meningiomas is constructed, suggesting a need to characterize the interplay between tumor grade and extent of resection as drivers of local disease control in SMs.

Adhith Palla, N. Goff, Blake Perdikis et al. · 0 citations
#software testing Preprint Aug 2026

DSA: Evidence-Aware LLM-Agent Orchestration for Multi-Market Stock Research

DSA is presented, an evidence-aware orchestration framework for multi-market stock research with large language model (LLM) agents that establishes implementation conformance for the tested software contracts, not superior report quality, forecasting accuracy, or investment returns.

Lingfeng Zhu, Yirui Shi · 1 citation
#software testing Preprint Aug 2026

Mutation Testing for Reproducibility Safeguards in Machine Learning Research Software: An Empirical Study

It is shown that, in this sample, existing validation workflows often did not detect the particular controlled reproducibility-relevant changes introduced by the study, motivating reproducibility-oriented mutation testing as a complementary way to assess whether research-software safeguards constrain experimentally imp...

Ilya V. Shulepov · 0 citations

From tech blogs

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Microsoft Research Blog Nov 5, 2026

Formally verifying agent-written full-stack web apps with PDD Kit

AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…

GPT-Lab Nov 3, 2026

Sovereignty Is the Option to Leave

Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.

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.

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