TMCnet

TestMu AI Launches Conversation and Memory Layers to Enhance AI Test Case Generation

AI-generated test cases have significantly accelerated software testing workflows, but refining outputs often requires manual edits or restarting the generation process. TestMu AI’s latest release ...
Semiconductor Engineering

LLM-based Agentic Framework Automating HW Security Threat Modeling And Test Plan Generation (U. of Florida)

A new technical paper titled “ThreatLens: LLM-guided Threat Modeling and Test Plan Generation for Hardware Security Verification” was published by researchers at University of Florida. “Current ...
Communications of the ACM

LLM Evaluation is Key to Accurate, Reliable, Effective GenAI

Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...
Nature

Software Testing and Test Data Generation Using Evolutionary Algorithms

Software testing is an essential component in ensuring the reliability and efficiency of modern software systems. In recent years, evolutionary algorithms have emerged as a robust framework for ...
Crowdfund Insider

BNP Paribas Provides LLM as a Service Platform to Enable Industrialization of Gen AI Use-Cases

To facilitate the development and deployment of generative AI use cases in its businesses and functions, BNP Paribas has designed and deployed an internal LLM as a Service platform. Operated by the ...