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software testing

2,947 papers

#software testing Open access Sep 2026

When Data Substitution Changes the Scientific Question: Claim-Level Evidence Admissibility in Wildfire Robustness Analysis — Reproducibility Archive

Reproducibility materials supporting the manuscript "When Data Substitution Changes the Scientific Question: Claim-Level Evidence Admissibility in Wildfire Robustness Analysis." This archive supports the claim-specific continuity test through the benchmark and release-contract registries, registered semantic coding, SO...

Ghassan Malkawi, Ahmed Abdelaziz Elsayed · 0 citations
#software testing Open access Sep 2026

When Data Substitution Changes the Scientific Question: Claim-Level Evidence Admissibility in Wildfire Robustness Analysis — Reproducibility Archive

Reproducibility materials supporting the manuscript "When Data Substitution Changes the Scientific Question: Claim-Level Evidence Admissibility in Wildfire Robustness Analysis." This archive supports the claim-specific continuity test through the benchmark and release-contract registries, registered semantic coding, SO...

Ghassan Malkawi, Ahmed Abdelaziz Elsayed · 0 citations
#software testing Open access Sep 2026

Mistake-Proofed Quality Records: a starter kit for enforceable quality records on already-licensed low-code platforms

A free, MIT-licensed low-code pattern for building enforceable quality records in small and mid-sized manufacturing. A small manufacturer supplying a regulated customer carries substantially the same documentation and traceability obligations as a large one, but dedicated quality-management platforms are priced for lar...

Tererai Mushangwe · 0 citations
#software testing Open access Sep 2026

A novel causality-based method for identifying drivers of breast cancer progression

CICIV, a causal inference framework that integrates PC-simple-based causal feature selection with conditional instrumental variable (CIV) representation learning, is proposed that prioritized 40 breast cancer-related candidate genes and identified signals that were not captured by conventional correlation-based analyse...

Lai-Ping Shen, Ying-Hao Zhang, Xiao-Yan Zhou et al. · 0 citations

Cranial expansion as primary surgical treatment in pediatric idiopathic intracranial hypertension.

Cranial expansion techniques, previously used as rescue procedures in refractory cases, can also be considered a therapeutic alternative as a first-line surgical therapy in pediatric IIH, with the potential to improve symptoms of intracranial hypertension and reduce the need for shunt implantation.

Pedro J. Millán-Cintas, Otilia A. Ramos-Urbina, Jorge Tirado-Caballero et al. · 0 citations
#reinforcement learning Review Open access Sep 2026

A multi-level framework for capacity adjustment and flexible decision-making under data constraints in production planning and control

A five-axis taxonomy is developed from 55 studies selected through a systematic Scopus review of CA research published between 2020 and 2025 and the Data-Aware Capacity Adjustment Framework is introduced as a seven-step decision-support artifact that screens CA options.

Alireza Ahmadi, Alessandra Cantini, Federica Costa et al. · 0 citations
#generative ai Open access Sep 2026

Exact Binary Projections for Array-RQMC: Joint Laws and Pathwise-Preserving Execution

Exact Binary Projections for Array-RQMC: Joint Laws and Pathwise-Preserving Execution Aoi Kawasaki. Preprint; not peer reviewed. Contribution For a specified two-dimensional Sobol net with linear matrix scrambling and a digital shift, the complete rank-ordered binary innovation vector is uniform over exactly N outcomes...

Aoi Kawasaki · 0 citations
#generative ai Open access Sep 2026

Exact Binary Projections for Array-RQMC: Joint Laws and Pathwise-Preserving Execution

Exact Binary Projections for Array-RQMC: Joint Laws and Pathwise-Preserving Execution Aoi Kawasaki. Preprint; not peer reviewed. Contribution For a specified two-dimensional Sobol net with linear matrix scrambling and a digital shift, the complete rank-ordered binary innovation vector is uniform over exactly N outcomes...

Aoi Kawasaki · 0 citations
#large language models Open access Sep 2026

NHOS Oracle Matrix Search Engine™ A Local Hybrid Retrieval and Contextual Discovery Architecture for Personal Health Knowledge

NHOS Oracle Matrix Search Engine™: A Local Hybrid Retrieval and Contextual Discovery Architecture for Personal Health Knowledge Technical Research White Paper — Version 1.2 · September 2026Corresponding Software Version: NHOS Oracle Matrix Search Engine v8.0.0Research Stage: Implemented Research System & Validation Fra...

Inc. NHOS Labs, Adedapo Ogundiran · 0 citations
#software testing Review Open access Sep 2026

IMPLEMENTASI SISTEM PEMANTAUAN LEVEL AIR DAN ARUS LISTRIK POMPA SUMUR BOR MENGGUNAKAN HC-SR04 DAN ACS712

Access to clean water is a vital necessity for communities, particularly in areas that rely on borehole wells as their primary water source. However, manually operating these pumps without an adequate monitoring system can lead to issues such as dry-running, energy waste, and pump damage caused by electrical current ir...

Adhy Syaputra Nge, Petrus Katemba, H. Heni · 0 citations
#software testing Open access Sep 2026

IMPLEMENTASI KEAMANAN RUMAH PINTAR BERBASIS IOT DENGAN ESP32, SENSOR GERAK, KAMERA DAN NOTIFIKASI REAL-TIME MELALUI BLYNK & TELEGRAM

This research enhances security and environmental monitoring for weapon storage facilities, improving oversight through real-time integration with Blynk and Telegram.

Yosua Miha, Yohanes Yohanes, Tri Ana Setyariny · 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…

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.

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