Is there a formula or approach to estimate how much you should spend on your quality engineering (QE) efforts? Our CEO, Steve Semelsberger, is frequently asked that question in discussions…
As a consumer, when you think of Red Bull, it’s impossible not to recognize how deeply the brand’s reputation is tied to exceptional experiences.
Did you know that 90% of mobile users abandon an app because of bugs or performance issues? Smooth app functionality is key nowadays. Without it, users leave quickly. But with…
In the continuous quest to raise the bar on software quality, product teams often find it difficult to avoid trade-offs between release speed and test coverage. One of the more…
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.
As software systems are updated and new bugs are created, previously functioning features may stop working as intended.
Software applications often perform well during short-term testing but encounter issues during continuous use.
Unit testing is a software testing method in which individual components or units of code are tested in isolation to confirm they function as intended.
Year after year, Cyber 5 brings millions of online customers to retailers across North America. Customers expect a flawless digital experience, especially when countless competitors are vying for their business.
What does a great quality engineering strategy look like? What questions should you, as a CEO, ask? This article has the answers to those questions and more!
Flaky tests are the bane of every developer and quality assurance engineer’s existence. One day, they pass, the next they fail—without any changes to the code. They are unreliable and…