Skip to content

Category

software testing

3,195 papers

#data science Review Open access Oct 2026

Replication package for "Production-Oriented Evaluation and Testing of LLM-Based Agents: A Systematic Literature Review"

Replication package for the systematic literature review "Production-Oriented Evaluation and Testing of LLM-Based Agents: A Systematic Literature Review" (revised version, submitted to Information and Software Technology; first submitted as "Evaluation and Testing of LLM-Based Agents in Production: A Systematic Literat...

Carlos Chinchilla Corbacho, Daniel H. de la Iglesia, André Sales Mendes et al. · 0 citations
#data science Open access Oct 2026

Open Science Desktop: a local-first, model-agnostic AI research workbench

Install & first launch macOS — Apple Silicon: …_aarch64.dmg · Intel: …_x64.dmg (requires macOS 13+) Developer ID-signed and notarized. Open the DMG and drag Open Science into Applications. When you use an existing project in place, allow access to its folder if macOS asks. Windows — …_x64-setup.exe (start here) · …_x64...

The Open Science Desktop Contributors · 0 citations
#graph neural networks Open access Oct 2026

When External Numerical Guards Detect Injected Faults in Neural-Network Inference

External guards can withhold an accelerator's output and trigger recovery, but their usefulness depends on which faults their numerical tests detect. We examine software fault-injection campaigns in convolutional networks, a vision transformer, and a decoder language model, distinguishing reported results from independ...

Serhii Serhieiev, Lidiia Pukhkan · 0 citations
#graph neural networks Open access Oct 2026

When External Numerical Guards Detect Injected Faults in Neural-Network Inference

External guards can withhold an accelerator's output and trigger recovery, but their usefulness depends on which faults their numerical tests detect. We examine software fault-injection campaigns in convolutional networks, a vision transformer, and a decoder language model, distinguishing reported results from independ...

Serhii Serhieiev, Lidiia Pukhkan · 0 citations
#large language models Open access Oct 2026

THE EVOLVING BACKEND OF REALITY Meta-Rules, Effective Laws, Recursive Constraints, and the Evolution of Generative Order

THE EVOLVING BACKEND OF REALITY Meta-Rules, Effective Laws, Recursive Constraints, and the Evolution of Generative Order The Evolving Backend of Reality is Volume II of The Reality Systems Trilogy and a large-scale research exploration of one of the deepest questions left open by The Immanent Backend of Reality: Can ru...

33 · 0 citations
#large language models Open access Oct 2026

THE EVOLVING BACKEND OF REALITY Meta-Rules, Effective Laws, Recursive Constraints, and the Evolution of Generative Order

THE EVOLVING BACKEND OF REALITY Meta-Rules, Effective Laws, Recursive Constraints, and the Evolution of Generative Order The Evolving Backend of Reality is Volume II of The Reality Systems Trilogy and a large-scale research exploration of one of the deepest questions left open by The Immanent Backend of Reality: Can ru...

33 · 0 citations
#software testing Preprint Oct 2026

BISCEPTER: Probability-Driven Bisection for Large-Scale System Software

BISCEPTER, a probability-driven bisection approach that uses historical BIC latency as a lightweight prior, and selects weighted-median pivots that split estimated BIC probability mass, while preserving the same good-bad oracle and interface as standard bisection.

Ming-Yan Gao, Celine Wüst, Zu-Ming Jiang et al. · 0 citations
#machine learning Preprint Oct 2026

GTDD: Generative Test-Driven Development for AI Coding Agents with Adversarial Testing

Test-driven development gives AI coding agents executable requirements for implementing software. Because these agents can adapt their implementations to the examples they observe, passing a predetermined collection of tests can leave substantial parts of the intended behavior unimplemented. We propose Generative Test-...

Masahiro Kato · 0 citations
#software testing Open access Oct 2026

Field Evaluation of Infrared Thermography as a Screening Tool for Calf Health

Early detection of disease in dairy calves is essential for maintaining animal welfare, reducing mortality and economic losses, minimizing disease transmission, and enabling timely veterinary intervention. However, routine clinical examination of individual calves is labour-intensive, time-consuming, and often impracti...

Dhiman Patgiri, Manisha, Abha et al. · 0 citations
#software testing Open access Oct 2026

Field Evaluation of Infrared Thermography as a Screening Tool for Calf Health

Early detection of disease in dairy calves is essential for maintaining animal welfare, reducing mortality and economic losses, minimizing disease transmission, and enabling timely veterinary intervention. However, routine clinical examination of individual calves is labour-intensive, time-consuming, and often impracti...

Dhiman Patgiri, Manisha, Abha et al. · 0 citations
#large language models Open access Oct 2026

Automated SOLID Violation Detection and Refactoring on Real Life Repositories

This paper presents an automated framework for detecting and refactoring SOLID design principle violations in real-world software repositories using Large Language Model (LLM) agents. Recognizing that architectural issues often span multiple files, we implement a dynamic agentic detection system that utilizes Abstract...

Yağız Özkarahan, Omid Feizi, Mohammed Husein Pour · 0 citations
#software testing Open access Oct 2026

EFEKTIVITAS LAYANAN KONSELING KELOMPOK TEKNIK KURSI KOSONG DALAM MENGURANGI PERILAKU BULLYING VERBAL PADA SISWA SMK

This research was motivated by the prevalence of verbal bullying phenomena at SMKN 1 Tana Toraja, which have a destructive impact on students' psychological conditions and the academic climate, compounded by the limited optimization of conventional interventions. This study aims to examine the effectiveness of group co...

Narno Narno, Christy L. Octaviani, Marthelda S. Wandauw et al. · 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.

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