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software testing

3,291 papers

#software testing Open access Sep 2026

Functional Inconsistency Index (FII) surrogate-evaluation workflow: code and synthetic demonstration dataset

This software implements a controlled, post-hoc workflow for evaluating both the predictive accuracy and the functional behaviour of two-input machine-learning surrogate models. It starts from a normalised analytical table and provides strict input validation, deterministic model fitting, held-out and reconstruction me...

Mateusz Żeruń · 0 citations
#software testing Open access Sep 2026

UDCF Instrumented Pendulum Cutting Rig v3.1

UDCF Instrumented Pendulum Cutting Rig v3.1 The repository contains the source code for the UDCF Instrumented Pendulum Cutting Rig v3.1. This simulator serves as a Digital Twin, allowing researchers to predict severance success (η ≥ 1) or sub-critical impact based on the kinematic energy of a swinging pendulum. Version...

Clifford Yeboah · 0 citations
#software testing Open access Sep 2026

Product-Level Test Generation from Featured Transition Systems: Experiment Data and Supplementary Tables

Companion archive for the paper "Product-Level Test Generation from Featured Transition Systems", accepted at the 17th IFIP International Conference on Testing Software and Systems (ICTSS 2026) and published in the Springer Lecture Notes in Computer Science series. The archive collects the unabridged experimental table...

anonymous, Mutlu Beyazıt, Serge Demeyer · 0 citations
#software testing Open access Sep 2026

dfeen87/AILEE-Trust-Layer: V8.1 Brooks Calibration

AILEE Trust Layer — V8.1 Release Note (Calibration + Hardened Brooks Domain Validation) Date: September 16, 2026 Author: Don Michael License: MIT Location: Warrington, PA Disclaimer: This release note describes independent exploratory work. It is not acknowledged, approved, or endorsed by Brooks Instrument and does not...

Don Michael Feeney · 0 citations
#software testing Open access Sep 2026

X2J Object Reconstruction Replication Package

This replication package provides complete implementations to fully reproduce the experiments from our paper Reconstructing Objects for Software Testing.

Ketai Qiu, Luca Di Grazia, Alessio Gambi et al. · 0 citations
#software testing Open access Sep 2026

THE METRIC COST OF SELECTION: Proper Length Invariance, Smooth Horizons, and Projection-Constrained General Relativity (Document 74)

Document 74 // Monograph Series on Causal Inertia & Epistemic Governance Author: Marius Egerhei Torjusen (ORCID: 0009-0006-0431-6637) Affiliation: Chief Architect, ReismannPoint Systems // Brahman Ventures (Locus Zero Research Division, Risør, Norway) Series Lineage: Direct operational, mathematical, and physical succe...

Torjusen Marius Egerhei · 0 citations
#software testing Open access Sep 2026

THE METRIC COST OF SELECTION: Proper Length Invariance, Smooth Horizons, and Projection-Constrained General Relativity (Document 74)

Document 74 // Monograph Series on Causal Inertia & Epistemic Governance Author: Marius Egerhei Torjusen (ORCID: 0009-0006-0431-6637) Affiliation: Chief Architect, ReismannPoint Systems // Brahman Ventures (Locus Zero Research Division, Risør, Norway) Series Lineage: Direct operational, mathematical, and physical succe...

Torjusen Marius Egerhei · 0 citations
#software testing Preprint Sep 2026

A Large-Scale Empirical Study of Quality Assurance Practices and Gaps in AI Agents

A large-scale empirical study of quality assurance (QA) practices in 157 open-source LLM-based agent projects with at least 100 GitHub stars highlights the need to move beyond feature-level testing toward systematic end-to-end validation that ensures agent workflows remain within intended boundaries when interacting wi...

Wu-Yang Dai, Moses Openja, Jiho Shin et al. · 0 citations
#large language models Open access Sep 2026

LZX-zx-em/CPP-Code-Dataset: C++-Eval Dataset v1.1.0

C++-Eval: A C++ Evaluation Benchmark for Large Language Models C++-Eval is a comprehensive benchmark for evaluating the C++ code generation capabilities of Large Language Models (LLMs), with a focus on complex memory management and industrial-grade software engineering requirements. Dataset Statistics 200 multi-level C...

LZX-zx-em · 0 citations
#software testing Open access Sep 2026

Surgical Instrument Detection and Tracking in Orthopaedic Surgery Using Computer Vision.

The proposed computer vision framework represents a cost-effective advancement in surgical digitisation, enabling accurate instrument tracking using standard video data and supporting future optimisation of orthopaedic surgical practice with significant implications for clinical research.

M. Paraskevaidis, David Alexander Back, Elian Niklas Oudintsov et al. · 0 citations
#software testing Open access Sep 2026

ANN-based analysis of heat transfer in blood-based hybrid nanofluid flow through a porous deforming channel.

It was found that the velocity is positively affected by higher values of porosity and Reynolds number, particularly in the case of wall deformation, while the temperature distribution behaves the opposite way as it is affected by wall injection and suction under higher Reynolds number and porosity conditions.

Shuang Li, Muflih Alhazmi, S. Hilali et al. · 0 citations
#natural language process... Preprint Sep 2026

Relationally Guided Use Case Modeling with LLMs

Use case flows are important elements of use case modeling because they support downstream software engineering activities, including requirements analysis, architectural and detailed design, and test case generation. However, constructing them manually is costly and expertise-intensive, while existing automated approa...

Guang-Yu Wang, Bang-Qi Li, Ji Wu et al. · 0 citations

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GPT-Lab Nov 3, 2026

Sovereignty Is the Option to Leave

Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.

Microsoft Research Blog Oct 30, 2026

From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence

Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.

Microsoft Research Blog Oct 29, 2026

Microsoft Research Focus – Edition #97

Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.

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