Meet The Small Business Claiming To Have Cracked AI Software Testing

Sauce Labs says its approach to testing, based on business intent, can help enterprises break the logjam caused by the need for quality assurance in software development ...
Microsoft

Observability for AI Systems: Strengthening visibility for proactive risk detection

As AI systems grow more autonomous, observability becomes essential. Learn how visibility into AI behavior helps detect risk and strengthen secure development.
InfoQ

Java 26 Delivers Language Innovation, Library Improvements, Performance and Security

Oracle has released version 26 of the Java programming language and virtual machine. As the first non-LTS release since JDK ...
Ministry of Testing

Coaching with code: using AI to learn how to automate tests

Leverage AI as a personalised "code coach" to bridge the gap between manual testing and automation by translating plain English into executable scripts and providing line-by-line logic explanations.
EE World Online

Agentic AI workflows target C/C++ safety-critical test automation

The C/C++test and C/C++test CT automated testing platforms from Parasoft provide software test automation for C and C++ ...
InfoQ

Evaluating AI Agents in Practice: Benchmarks, Frameworks, and Lessons Learned

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...

Agentic Test Automation Is Here. So, What Should Leaders Demand Before Trusting It?

They can rapidly explore flows, generate test ideas and produce evidence. Unfortunately, speed is not the same as trust. But when an AI agent claims that all tests have passed, do we really know ...
IEEE

GenProgJS: A Baseline System for Test-Based Automated Repair of JavaScript Programs

Abstract: Originally, GenProg was created to repair buggy programs written in the C programming language, launching a new discipline in Generate-and-Validate approach of Automated Program Repair (APR) ...