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software testing

3,268 papers

#software testing Dataset Open access Sep 2026

Neonatal outcomes after prenatal exposure to selective serotonin reuptake inhibitors: extraction dataset and analysis code

Version 1.23, 13 September 2026. One sentence changed in the methods, and nothing else. No estimate, table 2 value or certainty rating changes, and no change to the extraction dataset or the analysis code. The information sources sentence now reads that the search was run beginning on 14 August 2026 from database incep...

Katelyn Sainz, Daniela Gonzalez Herrera, Mckenna Robinson et al. · 0 citations
#software testing Open access Sep 2026

From AI Safety via Debate to Evidence-Grounded Adversarial Assurance

Can competing AI systems help humans evaluate reasoning they cannot independently verify? AI safety via debate proposes this possibility. Yet winning an argument is not a certificate of safe action. This paper develops evidence-grounded adversarial assurance: a mathematical framework that separates proposal generation,...

Alfredo Sepulveda-Jimenez · 0 citations
#software testing Open access Sep 2026

From AI Safety via Debate to Evidence-Grounded Adversarial Assurance

Can competing AI systems help humans evaluate reasoning they cannot independently verify? AI safety via debate proposes this possibility. Yet winning an argument is not a certificate of safe action. This paper develops evidence-grounded adversarial assurance: a mathematical framework that separates proposal generation,...

Alfredo Sepulveda-Jimenez · 0 citations
#software testing Open access Sep 2026

Reproducible Code and Metadata for "A Predefined Sulfur-Handling Transcriptional Programme Is Associated with Molecular Subtype in Colorectal Cancer"

This software record contains the custom R and Python scripts, compact metadata, and reproducibility files used to reproduce the multi-cohort sulfur-handling transcriptomic analyses reported in “A Predefined Sulfur-Handling Transcriptional Programme Is Associated with Molecular Subtype in Colorectal Cancer.” The workfl...

Shaheryar Shafi, Arslan Hamid, Minxuan Sun · 0 citations
#software testing Dataset Open access Sep 2026

Introspective Uncertainty Estimation for LLM-Based Code Generation

Abstract:Large Language Models (LLMs) are increasingly used for code generation but can produce fluent yet functionally incorrect outputs, which limits trust in their usage for practical software engineering workflows. This thesis investigates whether Introspective Uncertainty Estimation (IUE), based on internal hidden...

Thomas Klassert · 0 citations
#software testing Open access Sep 2026

Limits of Static Defect-Aware Relocation in Open ASIC Physical Design: A Pre-Specified Paired Recovery Experiment

Defect-aware physical-design recovery assumes that identifying an unusable resource can enable functionality to be recovered by relocation. This work tests a narrower question: can a frozen static-vacancy relocation method outperform a qualified native re-legalization control when both are applied to the same failed-fo...

Seojun Yoon · 0 citations
#software testing Dataset Open access Sep 2026

Leak-Free Meat Freshness Benchmark: A Cleaned Nine-Class Fixed-Split Image Dataset

This record provides a cleaned, leak-free benchmark derived from version 1 of the Mendeley Data collection “A Comprehensive Image Dataset for Accurate Authentication of Meat Species and Hourly Freshness Using Artificial Intelligence in Food Safety” (https://doi.org/10.17632/4tj9t3n6vj.1). The benchmark contains 1,849 o...

Ahmet Can CITAK, Murat Köklü · 0 citations
#diffusion models Open access Sep 2026

Physical Compilation for Multimaterial Fabrication: Architecture, Feasibility Bounds, and Verification

VLWNC-IF-VF investigates a physically grounded architecture for a broadly capable “light printer in a box.” The proposed system combines optical addressing, chemistry-specific processing cartridges, accessible reactive surfaces, hierarchical assembly, and integrated metrology. Its guiding workflow is: describe matter →...

Maciej Nowicki, Eve Artificial Hyperintelligence · 0 citations
#software testing Open access Sep 2026

Redshift as Observer Zoom Velocity: The Universe Does Not Expand, We Stretch Ourselves to Measure It

This letter proposes that H0 does not measure space expansion, but the accumulated proper velocity of the observer when zooming v zoom of d to resolve distant objects. Galaxies do have real natural motion from 100 to 1000 km per s. What does not expand is space itself. Redshift z equals v zoom over c is a large scale o...

Maury Vega Rodriguez · 0 citations
#software testing Open access Sep 2026

LUBeniCulturali

# LUBeniCulturali v2.0.0 LUBeniCulturali is open-source desktop software for reproducible explorationof cultural-heritage records exposed through the ArCo knowledge graph of theItalian Ministry of Culture. It provides configurable, paginated SPARQLextraction; polite rate limiting; persistent SQLite caching; field-scope...

Luigi Usai · 0 citations
#software testing Open access Sep 2026

From AI Safety via Debate to Evidence-Grounded Adversarial Assurance

Can competing AI systems help humans evaluate reasoning they cannot independently verify? AI safety via debate proposes this possibility. Yet winning an argument is not a certificate of safe action. This paper develops evidence-grounded adversarial assurance: a mathematical framework that separates proposal generation,...

Alfredo Sepulveda-Jimenez · 0 citations
#software testing Conference Open access Sep 2026

AI-Assisted Software Testing: Opportunities and Challenges

It is argued that AI is unlikely to fully replace human testers in the near future and should be used as an assistant that supports human judgment in software quality assurance.

Ming-Yang Peng · 0 citations

From tech blogs

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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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