Enterprises achieve 50% faster testing cycles with AI-driven autonomous quality assurance

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.
Ecommerce Fastlane

How to Test Your Store’s AI Agent Readiness: Complete Testing Checklist

Testing isn't optional. Every AI platform interprets your data differently. What works perfectly in ChatGPT might fail completely in Perplexity. Test ...
InfoWorld

Google adds automated code reviews to Conductor AI

The Conductor extension now can generate post-implementation code quality and compliance reports based on developer specifications.
InfoQ

Are You Missing a Data Frame? The Power of Data Frames in Java

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...
IEEE

A Data-Driven Analysis of Software Testing Automation Challenges Using Structural Equation Modeling (SEM) Approach

The adoption of automation in software testing presents challenges that can hinder its effectiveness and scalability. This study systematically investigates these challenges using a multi-phase ...
InfoQ

LinkedIn Leverages GitHub Actions, CodeQL, and Semgrep for Code Scanning

LinkedIn has rebuilt its static application security testing (SAST) pipeline using GitHub Actions and custom workflows, ...
Ministry of Testing

Test smarter with property-based testing

After watching this talk, you’ll be able to write smarter and more comprehensive tests in Java using Property-based Testing - ...
IEEE

LLMs for Automated Unit Test Generation and Assessment in Java: The AgoneTest Framework

Abstract: Unit testing is an essential but resource-intensive step in software development, ensuring individual code units function correctly. This paper introduces AgoneTest, an automated evaluation ...