The emergence of a Palestinian technocratic governing committee alongside President Donald Trump’s US-backed Board of Peace has triggered sharp Israeli backlash, exposing cabinet rifts and deep unease ...

One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...

Self-healing tests became the QA industry's biggest bet in 2025. Vendors claim AI can fix broken automation overnight. Engineering teams are burning budgets on tools that supposedly eliminate ...

Non-animal framework based on new approach methodologies (NAMs) for chemical hazard identification and risk assessment. The framework comprises three modules: (1) high-throughput screening to address ...

Cybersecurity researchers have discovered vulnerable code in legacy Python packages that could potentially pave the way for a supply chain compromise on the Python Package Index (PyPI) via a domain ...

Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

This project is a modular automation testing framework built using Python and pytest. It is designed to facilitate web UI automation, and evidence generation with a focus on reusability and ...

In today’s digital economy, engineering leaders face a paradox. Businesses are demanding faster releases, but at the same time, customers and regulators are insisting on higher reliability than ever ...

Agentic systems are stochastic, context-dependent, and policy-bounded. Conventional QA—unit tests, static prompts, or scalar “LLM-as-a-judge” scores—fails to expose multi-turn vulnerabilities and ...

We included 77 studies: 47 studies reported factors from clinicians' perspective, 33 studies reported patients' perspective, 23 studies reported implementation strategies, and seven studies evaluated ...

Abstract: This paper presents a comprehensive data reliability testing framework for evaluating synthetic biometric data, addressing privacy concerns in fingerprint and iris recognition systems. This ...