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software testing

2,622 papers

#software testing Open access Sep 2026

lctriage: triage of light-curve anomaly rankings with measured completeness and reliability (formerly Atlas Robuste)

lctriage (released as "Atlas Robuste" in version 1.0) is a reproducible pipeline for extracting features from photometric time series, ranking targets by atypicality, and measuring whether that ranking can be trusted. This version accompanies the paper Persistence, Not Consensus: Measured Triage of Unsupervised Anomaly...

Théo Chopard-Vilhem · 0 citations
#software testing Dataset Open access Sep 2026

Processed Data and Trained Models Supporting "Machine Learning Reconstruction of Glider Dissolved Oxygen: Accuracy Across Missions, Depths, and Years"

This Zenodo record contains the processed data and trained models supporting the manuscript “Machine Learning Reconstruction of Glider Dissolved Oxygen: Accuracy Across Missions, Depths, and Years.” The files support the model evaluations, dissolved oxygen reconstructions, interannual analyses, and numerical results re...

Ge Xiao, Sakib Mahmud, Uchenna C. Nwankwo et al. · 0 citations
#software testing Open access Sep 2026

[Replication Package] ICSE 2027 submission #963

Replication package associated with the scientific article: "Anticipatory Test Oracles for Prompt Prioritization in LLM Toxicity Testing", submitted for possible publication to the 49th International Conference on Software Engineering (ICSE 2027). The package contains the implementation of Anticipatory Toxicity Oracles...

A Anonymous · 0 citations
#software testing Open access Sep 2026

Americas Great Resorts: Canonical Reference Repository

This release synchronizes the Americas Great Resorts canonical reference repository through September 24, 2026. Key updates: Expands the repository to 170 Markdown files and 157 content records. Adds the corpus twin for "AI Visibility Is Becoming Software. The Harder Problem Is Knowledge Formation." Adds and updates KF...

Andrew Paul · 0 citations
#software testing Open access Sep 2026

Where Foundation Machine-Learning Potentials Fail for Iron-Sulfide Defect Kinetics: Failure Modes, Pre-Flight Checks, and a DFT Benchmark of Vacancy-Anchored Hydrogen Migration in Pyrite, Marcasite, Mackinawite, and Greigite

This dataset and code package accompanies the study of foundation machine-learning interatomic potentials (MLIPs) for vacancy-anchored hydrogen migration in pyrite, marcasite, mackinawite and greigite. Foundation MLIPs offer inexpensive migration-barrier calculations, but their reliability for hydrogen defects in magne...

I.N. Morozov · 0 citations
#software testing Open access Sep 2026

PREreview of "Urban Leishmaniasis in the Amazon: A One Health Framework Integrating Diagnostics, Microdiversity, Ultrastructure, and Extracellular Vesicles"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22955348. Reviewers: Diptarup Mallick, Hala Taha Elbashir, Lukman Boyi Adamu,Prerna Mehta, Shubham Kalamkar, Joseph Odunayo Igbokwe, Egide KAYIRANGA, Deepak Vitthal Sawant, Suhagiya...

Diptarup Mallick · 2 citations
#software testing Open access Sep 2026

A Deployed Vision–Language Decision-Support Platform for Tomato Harvest: Identity-Gated Grading, Uncertainty-Propagating Yield Estimation and Weather-Conditioned Advisories

This work presents a deployed vision–language decision-support platform for tomato harvest that connects image capture, identity verification, ripeness grading, harvest guidance, yield estimation, damage assessment, weather-conditioned loss projection, multilingual reporting, and persistent provenance within a single a...

Manjunath Suresh · 0 citations
#software testing Open access Sep 2026

A Deployed Vision–Language Decision-Support Platform for Tomato Harvest: Identity-Gated Grading, Uncertainty-Propagating Yield Estimation and Weather-Conditioned Advisories

This work presents a deployed vision–language decision-support platform for tomato harvest that connects image capture, identity verification, ripeness grading, harvest guidance, yield estimation, damage assessment, weather-conditioned loss projection, multilingual reporting, and persistent provenance within a single a...

Manjunath Suresh · 0 citations

Junction Temperature Calculation for SiC Power Module in Traction Inverter Using Linear Frequency Modulation

In this article, we propose a rapid junction temperature (<inline-formula> <tex-math notation="LaTeX">$T_{\mathrm {j}}$ </tex-math></inline-formula>) calculation method for SiC power modules using third harmonic injection pulsewidth modulation (Thi-PWM) control, which is particularly useful for transient <inline-formul...

Zhan-Shan Zhu, Min Xu, Hui-Chao Zhao et al. · 0 citations
#generative ai Review Open access Oct 2026

Beyond the Hype: The Efficiency-Throughput Gap with GitHub Copilot

Investigating the real-world impact of GitHub Copilot on software engineering, this field study uncovers a critical disconnect between gains in individual developer efficiency and improvements in organizational throughput. Using a multi-method approach, we employed the Organizational Ohm’s Law framework and integrated...

Fei Liu, Todd Mckinnon · 0 citations
#large language models Open access Sep 2026

Building digital societies as ecosystems: how recognition and repeat relationships sustain cross-community work in open source

Abstract We measure cross-boundary collaboration in an open-source software (OSS) ecosystem by reconstructing the bipartite contributor–repository graph of 464 cybersecurity-focused projects and $11{,}372$ 11 , 372 contributor identities active over October 2001–May 2022, seeded from the curated Rawsec Cybersecurity In...

Lucia Gomez Tejeiro, thibaut chataing, Julian Jang-Jaccard et al. · 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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