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software testing

2,640 papers

#software testing Open access Sep 2026

An efficient and cost-effective statistical voltage-based method for passive islanding detection in microgrids

Unintentional islanding is defined as the condition in which a section of the power grid continues to be energized by distributed generators after disconnection from the utility grid, for example, due to a fault. This situation remains a significant protection challenge in microgrids with high penetration of inverter-b...

Elijah Gbenga Osunkentan, R. D. dos Santos, Adedeji Adeyemi · 0 citations
#software testing Dataset Open access Sep 2026

Evolutionary alignment and derived data for TMD-proximal synonymous conservation analysis

This dataset contains the frozen comparative-alignment inputs and author-generated derived data used to support the evolutionary component of the study “Evolutionary-functional tests constrain links between TMD-proximal synonymous architecture and cotranslational membrane-protein handling.” The archive includes the exa...

MING LI · 0 citations
#software testing Open access Sep 2026

robertolocatelli81-dev/cryptovalid-opencore: cryptovalid-opencore 0.14.0 — checkpoints, witnesses, split-view evidence, SCITT

0.14.0 — checkpoints, witness cosignatures, split-view and freshness (2026-09-19) Two limits declared in the README since 2026-08-17 — split-view / equivocation and rollback / freshness were "future work" — are now measured features, built with the transparency ecosystem's own formats so that the ecosystem's own softwa...

robertolocatelli81-dev · 0 citations
#software testing Open access Sep 2026

Size Classification for Software Maintenance Projects Through a Simplified Minimalist Machine Learning Algorithm

In the software engineering field, the size of projects is used as explanatory variable for predicting the effort, duration, defects, costs, or risks of a project. Thus, the software project size has been considered the most influential factor. A systematic mapping study on the use of categorical data in software pre...

Cuauhtémoc López-Martín, C. Yáñez-Márquez, Ali Bou Nassif · 0 citations
#software testing Dataset Open access Sep 2026

TEMA-ENM model parameters: bilinear attention network for ghrelin receptor agonist/antagonist classification

Trained model parameters for the manuscript TEMA-ENM: An Interpretable Attention-Topology Framework Separates Affinity- and Efficacy-Associated Residue Signals in the Ghrelin Receptor (RSC Digital Discovery, under review). This record contains parameters only: the BiLSTM-BAN backbone pre-trained on BindingDB (49,199 pa...

Chih‐Yang Cheng, Yi‐Huan Wu, Feng-Yin Li · 0 citations
#software testing Open access Sep 2026

Analisa dan Perancangan Sistem Informasi Perpustakaan Menggunakan Metode Waterfall

The results of this study indicate that the designed web-based library information system is able to support the management of user data, book categories, book data, borrowing and returning transactions, book stock, and borrowing history.

Devara Putri, Andika Purnama, Ahmad Taufik · 0 citations
#software testing Open access Sep 2026

ML-QTLB: A Hybrid Machine Learning and Queueing-theory Model for Server-side Load Balancing in SDN

Software-Defined Networking (SDN) enables centralized and programmable network management, making it a key enabler for intelligent load balancing in modern network infrastructures.However, existing load balancing approaches rely on static algorithms or instantaneous resource metrics that fail to capture the dynamic que...

Mohanad Yahya Al-hamami, Maghrib Abidalreda Maky Alrammahi, Ali Mohammed Taher · 0 citations
#software testing Open access Sep 2026

Robust Mission-Lifetime Screening of ALD-Protected Bio-Based PLA under Uncertain Low-Earth-Orbit Atomic-Oxygen Exposure: Reproducibility Package

Executable reproducibility package for the study “Robust Mission-Lifetime Screening of ALD-Protected Bio-Based PLA under Uncertain Low-Earth-Orbit Atomic-Oxygen Exposure”. The archive contains the source-derived data tables, Python analysis code, generated numerical outputs, publication figures, regression tests, pinne...

Santiago Moll-López, Erika Vega-Fleitas, J.-A. Moraño et al. · 0 citations
#software testing Open access Sep 2026

Local AI Telemetry Report 2026: which local AI tools phone home, and what they send

Local model does not mean local software. This first-edition report from Stridenalysis, the research desk of StrideNote, brings together eleven investigations published between June and August 2026 on one question: what does a local AI tool send from the machine it runs on? Seven tools from a working local AI stack wer...

StrideNote · 0 citations
#software testing Open access Sep 2026

featuretree: Verified Recovery of Editable CAD Feature Trees from STEP, for Open CAD Systems

Importing a STEP file into a parametric CAD system yields a single frozen solid: the design history is gone, and no pad depth or hole diameter can be edited. Recovering that history is a well-studied problem — the acceptance criterion used here was stated as a definition by Gupta and Nau in 1995, and commercial impleme...

Daniel Newcome · 0 citations
#software testing Open access Sep 2026

CDRS-E

CDRS-E 0.1.0rc1 is a software-only release candidate for auditablecoordinate-constrained dynamical representation selection. This Zenodo record is designed to archive the exact source-and-tests ZIPassociated with the public GitHub pre-release v0.1.0rc1. The software isbound to commit 892abf572ddbc17bc5370129cd755640e67...

Antonio Clim · 0 citations
#software testing Open access Sep 2026

PooledScreenAudit: auditing control-associated prediction in pooled variant-effect screens

PooledScreenAudit 0.4.0 is an installable Python implementation for auditing control-associated prediction in pooled variant-effect screens. Starting from prepared variant–condition and residue-level matrices, it provides matched prediction with and without control features, rank-aware representation geometry, size-mat...

niu niu, Wei Fang, Wenjuan Li 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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