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In the face of increased demand and competition, software development teams are expected to iterate faster each project sprint.

Quality assurance (QA) of systems distributed across multiple servers or regions can not be achieved using localized and single-node testing processes.

The software testing market size was valued at USD 51.8 billion in 2023 and is projected to grow at a CAGR (Compound Annual Growth Rate) of over 7% between 2024 and 2032.

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.

Managing issue tracking across teams can be straightforward with centralized platforms like GitHub or BitBucket. But what happens when your testing needs go beyond basic coordination?

Testing in production involves evaluating software directly in a live environment as real users. It’s becoming increasingly common.

Imagine your app faces a sudden surge in users. Thousands log in at once. Can your system handle the pressure, or will it crash?

Did you know that users worldwide downloaded approximately 77 billion mobile apps in 2023?

Software testing plays a crucial role in app development. In fact, studies show that over 20% of apps fail due to bugs and performance issues.

Over one billion people worldwide live with some form of disability. Accessibility testing ensures that digital platforms are usable for everyone, including people with disabilities.