Skip to content

Category

software testing

3,118 papers

#software testing Open access Oct 2026

Pengaruh Good Corporate Governance dan Intellectual Capital Terhadap Kinerja Keuangan pada IDX30 yang terdaftar di Bursa Efek Indonesia

ABSTRACT   This study looks at how intellectual capital and sound corporate governance affect the financial performance of companies listed on the Indonesia Stock Exchange's IDX30 index between 2022 and 2024. Using a purposive sampling technique, non-financial businesses that were included in the IDX30 index for at lea...

Vhibi Meidiana Martinski, Erdiansyah Erdiansyah, Hendry Saladin · 0 citations
#software testing Review Oct 2026

First Report of Shoot Blight on Cinnamomum cassia Caused by Neofusicoccum parvum in China

Based on morphological characteristics, BLAST and phylogenetic analysis, isolate RGK was identified as N. parvum, and no spore production was observed even after 45 days on PDA, water agar, or carrot medium, including at inoculation sites on young shoots.

Xin-Jie Zhan, Qi Huang, Yan-Xia Zhu et al. · 0 citations
#software testing Open access Oct 2026

Version context and control construction in machine learning detection of malicious package updates across npm and PyPI

Open-source package registries such as npm and PyPI are increasingly targeted by software supply-chain attacks in which a trusted package is compromised through a later release. This study reconstructs each candidate release together with its immediate predecessor in npm and PyPI and evaluates machine-learning detectio...

Moatasem M. Draz · 0 citations
#software testing Book Open access Oct 2026

Towards Class-level Lifecycle Governance of Ontology-driven Conceptual Models for Software Quality Assurance

OCMLG (Ontology-driven Conceptual Modelling Lifecycle Governance), a model-driven development tool for monitoring the quality of ontology-driven conceptual models based on lifecycle policies, is proposed and suggested to provide a structured and automated mechanism for governing the class-level lifecycle of ontology-dr...

David Mosquera, Leandra Willi · 0 citations
#software testing Book Open access Oct 2026

SceneGEMS: Scenario Generation and Execution Framework for the Safety Assurance of Maritime Autonomous Surface Vehicles

Autonomous surface vehicles (ASVs) must comply with the International Regulations for Preventing Collisions at Sea (COLREGS) to operate safely in shared maritime environments at open sea. While simulation-based testing is widely used to assess compliance, existing approaches lack a complete and scalable assurance workf...

D. Frey, U. Kargén, Dániel Varró · 0 citations
#software testing Book Open access Oct 2026

Integrating Architectural Metamodels for Model-Based Testing of Large Language Models

This paper presents a preliminary integrated approach that operationalizes an architecture metamodel across the four stages of an MBT framework pipeline: Modeling, Test Case Generation, Test Script Generation, and Test Execution.

Jesús Carreño-Bolufer, Giovanni Giachetti, Óscar Pastor · 0 citations
#software testing Book Open access Oct 2026

On the Use of LLMs to Diagnose and Repair UML/OCL models

Large Language Models (LLMs) can assist developers and modelers in many software engineering activities. In the context of model-driven engineering, diagnosing and fixing errors in software specifications is a challenging task, even for human experts. Errors can be subtle, involving a combination of constraints and mod...

Juan Antonio Gómez-Gutiérrez, R. Clarisó · 0 citations
#software testing Preprint Oct 2026

Cross-Facility LLM Pre-training on HPC: Elastic Aggregation, Data Leasing, and Queue-Aware Placement

Academic compute is fragmented: allocations are granted per facility, and facilities differ in accelerators and software stacks, schedule jobs independently, and share neither a network nor a filesystem. We present a system that pools such allocations to pre-train a single language model across three supercomputers on...

Zarè Palanciyan, Thomas van Osch, Douwe van der Wal et al. · 0 citations
#software testing Preprint Oct 2026

EOS version 1.1: A Software for Flavor Physics Phenomenology

EOS is an open-source software package for a variety of computational tasks in flavor physics. In this article, we describe new developments for version 1.1 of this software and discuss changes with respect to version 1.0. These developments and changes include theory predictions for additional decay and scattering pro...

Nienke C. Balz, C. Bolognani, Marta Burgos Marcos et al. · 0 citations
#software testing Dataset Open access Oct 2026

Superquadratic histories and certified conditional training in hard leaky integrate-and-fire networks: source data and code

This record contains source data and original software accompanying “Superquadratic histories and certified conditional training in hard leaky integrate-and-fire networks”. It retains construction records, feasible-history candidates and exact prices, frozen model and prediction arrays, numerical audit logs, figure sou...

DeKun Yang · 0 citations
#software testing Open access Oct 2026

Beyond Node Counts: Correlated-Failure Audits for Multi-Role Permissioned Ledgers

Reproducibility artifact for “Beyond Node Counts: Correlated-Failure Audits for Multi-Role Permissioned Ledgers” Version 1.0.0 accompanies the ETECOM 2026 paper by Son Huu Trung Dang, An Van Nguyen, and Tam Huu Tran. Beyond Node Counts examines how shared dependencies affect threshold availability in permissioned-ledge...

Huu Trung Son Dang, Van An Nguyen, Huu Tam Tran · 0 citations

From tech blogs

See all →
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.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.