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.

For conventional software, testing has traditionally centered on predefined requirements and expected outcomes. Generative AI ...

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 ...

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, ...

Porsche Engineering is embracing data-driven development—using a full range of modular tools throughout the entire development cycle to do so. The tools can be flexibly adapted to the individual ...

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Automated testing began as a way to alleviate the repetitive and time-consuming tasks associated with manual testing. Early tools focused on running predefined ...

In a previous blog, I shared what I learned from building an internal C++ library used by the Arteris verification team to generate constrained test stimuli. To summarize, AI is an ...

VI-grade’s advanced driving simulators and cloud-based data solutions enable engineers to shift from traditional sequential development cycles to more agile approaches that reduce costs and time.

Software engineering intelligence platforms such as Code Climate’s Velocity give engineering leaders a deeper, data-driven understanding of how their team works and where they can improve. In today’s ...