The question is no longer whether gen AI and emerging technologies will elevate the automation of software testing but when and how. However, proponents need to overcome organizational resistance.

Software testing has changed significantly as applications have become more complex and development cycles have become faster. What once depended almost ...

Generative AI is adding another layer of pressure. Approximately 61% of quality engineering teams are experiencing increased testing requirements as developers generate and modify code more rapidly.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Joe Cassavaugh shares his journey from ...

Aniket Kulkarni advances software engineering through AI-driven quality assurance, automation, and release optimization. His ...

The real opportunity with using AI in software development lies in lowering the cost of experimentation, says Ayesha Bagus, ...

Traditionally, developers have used test-driven development (TDD) to validate applications before implementing the actual functionality. In this approach, developers follow a cycle where they write a ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Is quality engineering (QE) an extension of software testing or a complete change in responsibilities? That's a question I want to answer today. As COO of an enterprise test execution cloud platform, ...

Software engineering leaders are increasingly being asked to build AI-powered applications and agents. AI engineering focuses on designing, developing, deploying, operating, and governing AI solutions ...

Artificial intelligence has become one of the biggest topics in engineering. From code generation and documentation to design exploration and debugging, new AI tools promise to accelerate almost every ...