Perspectives

In quality engineering, axioms are foundational truths drawn from years of practice that underpin effective, scalable automation systems.

Software systems are becoming more complex and interconnected every day, and as a result, effective testing is more important than ever. 

Article four in the “Quality Engineering for CEOs” series brings you an exploration of the role of software quality in organizational confidence.

Volume testing is a type of software performance testing that evaluates a system’s capacity to process massive data volumes within a specific timeframe. It identifies bottlenecks, crashes, or inefficiencies under high data loads, ensuring performance, accuracy, and stability. 

Did you know that the average code coverage across industries falls between 74% to 76%?

A year of milestones and gratitude: Celebrating 10+ years with Testlio and the incredible clients that make it all possible.

Payment testing is undeniably challenging. Companies invest heavily in verifying end-to-end transaction success, but even the most skilled internal teams and sophisticated lab environments have their limits.

Part 1 of this two-part blog serves as the foundation, highlighting the critical role that quality engineering (QE) must play in addressing the business risks associated with the accelerating adoption of artificial intelligence or AI-powered software.

From social media and Google reviews to sensors and artificial intelligence (AI) assistants, development teams today have access to so much user data, often called big data, that it sometimes feels like a blessing and a curse.