quality assurance

Generative AI is transforming mobile app testing by moving beyond code checks. GenAI Assertions allow testers to validate complex features, like image or text accuracy, using natural language prompts. This shift enhances quality and keeps testing aligned with rapid, AI-driven development.

Women in QA drive quiet transformation, bringing empathy and keen insight to ensure quality. They redefine impact by safeguarding user experience, increasingly ascending to leadership, and becoming architects of excellent software.

AI is revolutionizing software development by automating mundane tasks and enhancing efficiency. Developers leveraging AI tools can focus on high-value problem-solving, improving productivity and innovation while maintaining quality and security.

State-of-the-art AI platforms are transforming SQA. Automation, improved visibility, and streamlined processes are boosting efficiency and effectiveness for QA teams today. As AI evolves, embracing it and developing the necessary skills will be crucial for QA professionals to thrive in the future.

An important component of any User Acceptance Testing (UAT) plan are the entry criteria. No complex data system will ever be perfect, but starting with lax entrance criteria puts the UAT team in a weak position.

A plea to software product owners to avoid adding buggy features or making capricious changes to your GUI. Quality matters, remember?

A high-quality product is key to enhancing customer satisfaction. But to ensure outstanding solution quality, you’ll need a coherent QA strategy that will regulate key QA procedures. 

In the coming months, wireless service providers are going to invest and expand their footprint on 5G, making QA and testing the key player for customer satisfaction, competitive advantage, and market sustainability.