Abstract: With the advent of Very-Large-Scale Integration (VLSI), testing has turned out to be much more troublesome as their size develops. Effective as these traditional VLSI testing methods are in ...
Abstract: Program execution time often scales with input size, making performance prediction without execution valuable if the model is efficient and scalable. While machine learning has been used for ...
Microsoft Defender Experts identified a coordinated developer-targeting campaign delivered through malicious repositories disguised as legitimate Next.js projects and technical assessment materials.
The Russia-linked state-sponsored threat actor tracked as APT28 has been attributed to a new campaign targeting specific entities in Western and Central Europe. The activity, per S2 Grupo's LAB52 ...
This repository contains a multi-module Maven project for AI-powered test execution agents. It is designed to be modular and scalable, separating orchestration logic from specific testing agent ...
Researchers have discovered the first known Android malware to use generative AI in its execution flow, using Google’s Gemini model to adapt its persistence across different devices. In a report today ...
In this tutorial, we build a production-ready agentic workflow that prioritizes reliability over best-effort generation by enforcing strict, typed outputs at every step. We use PydanticAI to define ...
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