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software testing

2,922 papers

#software testing Open access Sep 2026

spatial-coverage-audit: Reproducible deployment-aligned coverage auditing for environmental prediction intervals

A reproducible audit package for evaluating environmental prediction-interval claims across deployment groups, split designs, finite-output behavior, and target-information budgets. Archive version 0.1.1 adds the Forest Ecosystems evidence extension v2. The software core remains version 0.1.0. The evidence bundle conta...

Liwei Deng, Lu Wang, Zhufang Kuang · 0 citations
#software testing Open access Sep 2026

TCM-QM software and TCM-QM Atlas v1.1.2

Complete public source release for TCM-QM and the TCM-QM Atlas web application. Adds the complete website source under website/. Includes searchable compound and herb interfaces, evidence-aware graph exploration, 2D/3D molecular viewers, API routes, 3,196 XYZ structures, machine-readable download surfaces, data-generat...

NiNi33yes · 0 citations
#software testing Dataset Open access Sep 2026

Class-imbalance remedies for tabular foundation models: historical and supplementary probabilities and experiment records

Version 2.0.0 provides two separate collections of 8,600 persisted probability files each, covering historical and supplementary experiments on the same 43 binary tasks and five seeds. Each NPZ contains validation/test probabilities and aligned binary labels (p_val, p_test, y_val, y_test). No raw feature tables or mode...

Siyu Cai · 0 citations
#software testing Open access Sep 2026

RaftShift: An Experimental Study of Cost-Aware Raft Leader Transfer

RaftShift is an experimental advisory controller for planned Raft leadership transfer. It compares forecast cumulative benefit with a component-based activation allowance, then invokes native transfer and voting. This technical report consolidates implementation, cloud, formal-model, and later measurement evidence whil...

Md. Rafiuzzaman Khan · 0 citations
#software testing Dataset Open access Sep 2026

PG-APMoNet v1.0: Model source code, trained weights, and supporting research materials

This record provides the frozen PG-APMoNet v1.0 model and supporting materials for the manuscript “PG-APMoNet v1.0: a physics-guided differentiable forward model for active–passive microwave observations of the ocean–atmosphere system”. The release consists of two archives: 1. PG_APMoNet_v1.0_model.zip contains the mod...

Feiyao Gao, Tianxing Wang · 0 citations
#explainable ai Open access Sep 2026

OCOM, the Object-Centric Operating Model: an open specification for a machine-readable description of an organization

OCOM, the Object-Centric Operating Model, is an open, technology-independent specification that describes an organization as a system of governed objects carrying identity, ownership, lifecycle and evidence. Everything else an organization produces about itself, dashboards, documents, knowledge graphs, search indexes a...

Denis P. · 0 citations
#software testing Open access Sep 2026

kadubon/collective-capability-runtime: CCR 1.8.0: verified reuse and verification-aware growth allocation

CCR 1.8.0 adds an explicit verified_growth_v1 policy while preserving the legacy v1 optimizer, signatures, admission, approval and lease boundaries. Replayable service/cost accounting, delayed reuse, immutable assets, receiver transfer qualification, and lifecycle invalidation/revalidation. Exact bounded dependency-bun...

K. Takahashi (Kadubon) · 0 citations
#software testing Open access Sep 2026

DL-AMR: Heteroscedastic Residual Learning for Dynamic Adaptive Mesh Refinement in Bluff-Body Wake Flows

GitHub-Zenodo software record (repository snapshot) accompanying the paper of the same name (Journal of Computational Physics, 2026). Contents: source code for the heteroscedastic U-Net (training, evaluation, TorchScript export), the OpenFOAM custom solver amrPimpleFoam with the in-plane refinement library hexRef4, sim...

Jiwon Kang, Minhyeok Oh, Jongmin Son et al. · 0 citations
#software testing Open access Sep 2026

cbib/TrialMatchAI: TrialMatchAI 0.9.0 — CLI and reliability foundation

TrialMatchAI 0.9.0 establishes a tested CLI and package-delivery foundation, with integrity and recovery fixes from the codebase and Copilot reviews. Try it Use Python 3.11 in an activated virtual environment: python -m pip install trialmatchai==0.9.0 trialmatchai demo --workdir ./demo-workspace trialmatchai demo --wor...

Majd Abdallah, mikageorges · 0 citations
#software testing Dataset Open access Sep 2026

Data and Code for: Convergence or divergence? A three-layer quantitative synthesis tests a Scale–Spectrum–Stage framework of plant microbiome responses to stress

This data and code package accompanies the manuscript “Convergence or divergence? A three-layer quantitative synthesis tests a Scale–Spectrum–Stage framework of plant microbiome responses to stress,” by Lele Liu, Wenyi Sheng, Yuhui Wang, Huijia Song, Yaolin Guo, and Weihua Guo. It is organized into data/, scripts/, d_t...

Liu, Lele, Sheng, Wenyi, Guo, Weihua · 0 citations
#software testing Open access Sep 2026

Mistake-Proofed Quality Records: a starter kit for enforceable quality records on already-licensed low-code platforms

A free, MIT-licensed low-code pattern for building enforceable quality records in small and mid-sized manufacturing. A small manufacturer supplying a regulated customer carries substantially the same documentation and traceability obligations as a large one, but dedicated quality-management platforms are priced for lar...

Tererai Mushangwe · 0 citations
#software testing Open access Sep 2026

When Data Substitution Changes the Scientific Question: Claim-Level Evidence Admissibility in Wildfire Robustness Analysis — Reproducibility Archive

Reproducibility materials supporting the manuscript "When Data Substitution Changes the Scientific Question: Claim-Level Evidence Admissibility in Wildfire Robustness Analysis." This archive supports the claim-specific continuity test through the benchmark and release-contract registries, registered semantic coding, SO...

Ghassan Malkawi, Ahmed Abdelaziz Elsayed · 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.

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.

GPT-Lab Sep 23, 2026

Requirements Don’t Live in Isolation: What We’re Exploring with Req-Space

Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…

GPT-Lab Sep 17, 2026

Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering

AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.

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