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software testing

2,643 papers

#software testing Preprint Sep 2026

ULOHA: An Underwater Bimanual Robot System for Robot Learning

Underwater visuomotor policy learning has focused primarily on single manipulators, while bimanual imitation learning has been studied largely in air. We present ULOHA, an underwater bimanual robot learning platform that combines custom-designed leader--follower hardware with software extensions to LeRobot, integrating...

Masato Kobayashi, Takeru Tsunoori · 0 citations
#explainable ai Open access Sep 2026

The Anchor-and-Expand Principle: Timing Strategic Decoupling in Technology Ecosystems

Technology ecosystems often reward whichever firm first controls a tightly held physical or infrastructural asset -the "anchor" -because that control reduces uncertainty, sets de facto standards, and buys market access for a higher-margin software, service, or workflow layer -the "expansion."Existing strategy research...

Vivek Gujar · 0 citations
#software testing Open access Sep 2026

Associations of structured and unstructured physical activity time in kindergarten with physical fitness in preschoolers: an isotemporal substitution and time threshold analysis

This cross-sectional study aimed to examine how reallocating time across different types of activities is associated with preschoolers’ physical fitness and to identify potential time thresholds that could inform kindergarten activity planning. A total of 337 Chinese preschoolers (168 boys, 169 girls; mean age 4.41 ± 0...

Delong CHEN, Bin Long, Guanggao Zhao et al. · 0 citations
#software testing Open access Sep 2026

LiteALPR: A lightweight open-source library for fast and accurate license plate recognition

What's Changed in v0.1.7 🚀 Jetson Nano & Performance Benchmarking Jetson Nano Guide & Stress Testing: Introduced a comprehensive Jetson Nano deployment guide (docs/jetson-nano.md) along with a dedicated continuous stress-testing script (run_stress_test_jetson_nano.py) to validate thermal performance and memory footpri...

Anh Nguyen, Vinh Truong Hoang · 0 citations
#software testing Open access Sep 2026

Reproducibility materials for Mean-Preserving Thinning and Response Information in Causal Sets

Reproducibility materials for “Mean-Preserving Thinning and Response Information in Causal Sets” by Yutong Bai. This software package accompanies a study of retarded scalar propagation on causal sets, distinguishing exact mean-response consistency under coordinated thinning from the reconstruction of realization-depend...

Y. Bai · 0 citations
#software testing Open access Sep 2026

BionApp

BionApp (beta) is a desktop application for laboratory management of GMO (OGM) samples. This edition runs fully locally (Electron and SQLite): no cloud account is required. Data stay in a folder chosen by the user. The software is under testing and is not a certified clinical system.

Juan José Domínguez-García · 0 citations
#software testing Open access Sep 2026

Analysis code for "Relative fat mass and an obstructive sleep apnea-related symptom phenotype among U.S. adults: a cross-sectional NHANES study"

This record contains the reproducible R analysis code and aggregate reference outputs supporting the manuscript “Relative fat mass and an obstructive sleep apnea-related symptom phenotype among U.S. adults: a cross-sectional NHANES study.” Version 2.0.0 is the code release accompanying the second revision. The package...

Zhuowen Wei · 0 citations
#software testing Open access Sep 2026

mcp-probe: a conformance and reliability checker for Model Context Protocol servers, and the replication package for the August 2026 MCP ecosystem study

This archive is the mcp-probe repository at version 0.1.2, and it is the replication package for arXiv:2609.10962, "What a Random Draw from the MCP Registry Contains, and What Tool-Use Benchmarks Contain Instead". What changed since the 16 September archive (10.5281/zenodo.22781122), which this supersedes. The software...

Haseeb Mohammed Afsar · 0 citations
#software testing Open access Sep 2026

TCEH Compound Events: Data Processing and Visualization Code

# TCEH: Tropical Cyclone–Extreme Heat Compound Events## Code Repository — Data Processing & Visualization Associated paper:Zhao, Y., Frucht, S., Raymond, C., & Baldwin, J. W. (2026). Tropical Cyclone-Extreme Heat Compound Events Exhibit Amplified Landfall Cooling and Rapid Heat Stress Resurgence.(https://doi.org/10.225...

Yu Zhao · 0 citations
#software testing Open access Sep 2026

Bugs in a Perfect Substrate: An Ontology of Software Defects

The word bug entered engineering usage with a precise referent: a substrate intrusion — a physical object occupying space in a mechanism whose designed geometry excluded it. Around defects of this kind, a measurement apparatus was built — statistical process control, defect density, process capability — whose load-bear...

Oliver Albrecht · 0 citations
#software testing Dataset Open access Sep 2026

Metatlas2 Development Environment Data

This dataset contains all required files for testing the local standalone instance of the metatlas2 software.

Brandon Kieft · 0 citations
#graph neural networks Open access Sep 2026

Computational Primes: A Systematic Framework for Partitioning Neural Network Computation Across Analog and Digital Domains

Twelve irreducible operations (P1-P12) with known physical implementations, and four without, as a basis for deciding which parts of a neural network belong in the analog domain. 114 algorithms are factored into these primes; the paper builds a compiler that decomposes a compute graph, assigns each prime to a domain, f...

Michael Bieg · 0 citations

From tech blogs

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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.

MIT News · Artificial Intelligence Aug 17, 2026

Q&A: Rethinking how innovation happens

In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.

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