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software testing

2,566 papers

#software testing Review Open access Sep 2026

DevSecOps: A Comprehensive Survey of Secure Software Development and Deployment Practices

DevSecOps brings together development, security, and operations approaches to incorporate security across the software development lifecycle, allowing organizations to discover and address vulnerabilities earlier while ensuring quick and dependable software delivery. This survey reviews the foundations, practices, tech...

Prashant Kumar Shrivastava · 0 citations
#software testing Open access Sep 2026

184. Effect of a Pool of Essential Oils, Flavonoids and Tannins on Methane Emissions, Production Performances, Ruminal and Blood Parameters in Beef Cattle During Heat Stress Conditions.

Reducing methane (CH4) emissions from cattle while improving production efficiency and resilience is essential for achieving sustainable farming. In this light, natural products have gained interest due to their broad-spectrum biological activity. This study evaluated the effects of a blend of essential oils, flavono...

S. Grossi, C. Rossi · 0 citations
#software testing Open access Sep 2026

From CI/CD to AgenticOps: A Practitioner Analysis of ChatGPT Work

ChatGPT Work represents a shift from conversational assistance toward delegated, tool-using execution. This technical note analyzes that shift from the perspective of software engineering, DevOps, platform engineering, and technical architecture. The analysis combines repeated hands-on use of Work on cloud-native engin...

Branko Koprivica · 0 citations
#software testing Dataset Open access Sep 2026

Privacy-Utility Trade-offs in Differentially Private Synthetic Tabular Data: a reproducible benchmark on the UCI Heart Disease (Cleveland) dataset

A reproducible benchmark measuring how the utility of differentially private (DP) synthetic tabular data degrades as the privacy budget tightens, and separating the error introduced by the synthesizer from that introduced by the downstream DP estimator. Contents heart_benchmark_results.csv — tidy results, 2,444 rows x...

Mukul Bijalwan · 0 citations
#software testing Open access Sep 2026

90. Genetic Evaluation of Feed Efficiency Traits in Brazilian Angus Cattle.

Feed efficiency is a critical component of sustainable animal production, influencing economic viability, environmental impact, and biological performance. As feed constitutes the largest expense in beef production, even minor improvements in feed efficiency can yield substantial economic benefits. The goal of this s...

Yu-Feng Shang, Henrique A. Mulim-McCarthy, M. Campos et al. · 0 citations
#software testing Open access Sep 2026

Latent Class Analysis: Pemetaan Eksploratif Kompetensi Literasi Siswa SMA

High school students' literacy skills in Indonesian still show various problems, especially in understanding implicit meanings, logical relationships between ideas, evaluating information, and interpreting context. Learning evaluations generally focus only on total scores, thus failing to map the characteristics of stu...

Rahma Faelasofi · 0 citations
#software testing Open access Sep 2026

Analysis code and supporting materials for 'Same Practice, Opposite Ranking: Disciplinary Inversion in Research Integrity Norms across Cameroonian Universities'

Materials supporting “Same Practice, Opposite Ranking: Disciplinary Inversion in Research Integrity Norms across Cameroonian Universities”. The article stands on its own: everything a reader needs to follow and judge its argument is in it. This deposit is not a continuation of the article. It exists so that anyone who...

Anonymous · 0 citations
#software testing Open access Sep 2026

quantum-group: Exact SymPy verification of explicit U_q(sl_2) and GL_q(2|1) matrix identities

quantum-group is a small Python package that builds the explicit matrices behind concrete quantum-group calculations with exact SymPy arithmetic and checks each identity as an exact residual matrix. A nonzero residual entry locates the convention that disagrees: basis order, tensor placement, coproduct or, for superalg...

Taha Berk Terekli · 0 citations
#software testing Open access Sep 2026

The quant_eval Public Corpus: Behavioral Measurement of Quantization Degradation—Precision, Scale, and Substrate Effects

This paper presents the quant_eval public corpus: a paired behavioral evaluation of full-weight and quantized large language models across eight agent-relevant task families, published as eight open datasets with per-case evidence, paired statistical tests, and a verification chain a reader can check rather than trust....

Patrick Hill · 0 citations
#software testing Dataset Open access Sep 2026

Data for study "A Structural Preservation Framework for Denoiser Selection in YOLO-Based Pedestrian Detection under Sensor Noise"

Basic information---------------------------1. Journal article: The Storage Condition at Measurement Time Decides Denoiser Selection for Frozen Deep Pedestrian Detectors 2. DOI: concept DOI: 10.5281/zenodo.22643935 (resolves to the latest version) version 1: 10.5281/zenodo.22643936 (2026-09-07, files restricted) versio...

Kiet Vo Thanh, René Jaroš, Minh Ly Duc 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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