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software testing

2,999 papers

#software testing Open access Oct 2026

Reproducible code for signal-specific fine-mapping of the APH1B locus in Alzheimer disease

This software archive contains analysis and figure-generation code for signal-specific fine-mapping of the APH1B locus in Alzheimer disease. Version 2026.10.10 synchronizes the publication display with the revised manuscript: Figure 1 names the specified multiple-testing correction, Figure 3 identifies its highest-PIP...

Qianqian Huang, Xiaohui Bi, Ran Chen · 0 citations
#software testing Dataset Open access Oct 2026

Global Rice Flowering-Stage Heat Exposure, 1961–2021: Derived Data and Reproducible Workflows

This repository provides the derived datasets, quality-control records, data dictionaries, analysis code, software environment specifications, and automated validation procedures supporting a global assessment of rice flowering-stage heat exposure from 1961 to 2021. The reproducibility package integrates rice-distribut...

Yao-Ming Hong · 0 citations
#generative ai Open access Oct 2026

PREreview of "Curating Always-Loaded Context for LLM Agents: A Capacitated Assortment Model with Censored Feedback"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23282285. Thank you for this paper. You model the always-loaded context file (AGENTS.md and similar) as an assortment of instructions competing for limited attention, each with a se...

Evgeny V. Arsentyev · 0 citations
#software testing Open access Oct 2026

Nucleation-Assisted Fluid Inclusion Microthermometry (NA-FIM) Analyzer: A Tool for Speleothems and Low-Temperature Minerals

The Nucleation-Assisted Fluid Inclusion Microthermometry (NA-FIM) Analyzer: A Tool for Speleothems and Low-Temperature Minerals is an open-source, Python-based graphical user interface designed to accurately estimate original fluid entrapment temperatures (Th) by mitigating the effects of post-entrapment stretching. In...

Yuri Viktorovich Dublyansky · 0 citations
#graph neural networks Dataset Open access Oct 2026

CD-STHGN: Causally Disentangled Supply-chain Temporal Heterogeneous Graph Network

# CD-STHGN: Causally Disentangled Supply-chain Temporal Heterogeneous Graph Network A reference implementation and dataset release for green innovation driven digital transformation in Chinese A-share manufacturing supply chains, 2011-2023. [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)[!...

* * · 0 citations
#software testing Open access Oct 2026

PENTA-CL Interim Results: Canonical Replay Matches and Step-String Drift in Four Platform-Configured LLM Engines

Audited interim result, not completed PENTA certification. Four platform-configured engines were observed in two fresh web conversations each with memory disabled, using a frozen six-case synthetic decision prompt. Opus 5.5 and GPT-6.1 Sol matched the registered canonical JSON tuple hash in both recorded captures. GPT-...

Leon Calvin II long · 0 citations
#software testing Open access Oct 2026

Reproducible code for signal-specific fine-mapping of the APH1B locus in Alzheimer disease

This software archive contains analysis and figure-generation code for signal-specific fine-mapping of the APH1B locus in Alzheimer disease. Version 2026.10.10.1 incorporates the manuscript and publication-display revisions of 2026.10.10 and adds a journal-format graphical abstract. Figure 1 names the specified multipl...

Qianqian Huang, Xiaohui Bi, Ran Chen · 0 citations
#software testing Open access Oct 2026

financialkit: a quantitative-finance toolkit

The first release. Added Repository scaffold, structurally cloned from mathematicskit: pyproject.toml (numpy, scipy and matplotlib, with numba in the fast extra), CI, docs and release workflows, pre-commit, the Sphinx site with per-domain hubs, galleries, history pages and JupyterLite, and the root docs. The README and...

Charles Poli · 0 citations
#software testing Open access Oct 2026

Marian Protocol v1.0 — Normative Specification, Reference Implementation and Conformance Package

Marian Protocol v1.0 is an open, machine-readable and independently testable civil calendar specification designed for sustained human settlement on Mars. It defines a complete operational framework for Martian dates, calendar arithmetic, interoperability and software implementation. Marian uses 12 months comprising 24...

Jonathan Bullock · 0 citations
#software testing Open access Oct 2026

AIMLS: standardized graphic labeling to disclose the use of artificial intelligence in scientific-academic manuscripts

English translation of the Spanish-language preprint (original version): https://doi.org/10.5281/zenodo.23273378 Introduction: The use of artificial intelligence (AI) in scientific-academic writing continues to grow steadily, with and without editorial policies regulating it. A disclosure drafted without standardized v...

Freddy Alexander Chinchilla Serrano, Carolina Seas, Steven Segura Jiménez · 0 citations
#software testing Open access Oct 2026

SGIT–TRC: reproducible mathematical reference implementation

Version-independent reference software, selected archived analysis records, frozen configurations and mathematical tests for Spatiotemporal Geometry Integration Theory and Temporal Relational Closure. Passing unit tests do not imply independent reconstruction of every empirical EEG endpoint.

Miroslav Svítek · 0 citations
#software testing Open access Oct 2026

AN EXPLAINABLE DEEP LEARNING FRAMEWORK FOR PREDICTIVE SOFTWARE QUALITY ENGINEERING AND AUTOMATED DEFECT DETECTION

Software Quality Engineering (SQE) is evolving from reactive defect detection toward predictive and intelligent quality assurance. Traditional testing approaches identify defects after implementation and require extensive manual effort to analyze source code, test results, historical defects, and execution behavior. Ma...

Prathap Raghavan · 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…

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