Slow and insufficient definition of requirements, time-consuming coding and error-prone bug detection are just some of the issues that teams face in the software development life cycle (SDLC).

A global survey and expert insights reveal how generative AI has already transformed the software development lifecycle—and what’s coming next. In partnership withGlobant Generative AI’s promises for ...

Over the past several months, I’ve written about how software security testing has evolved to keep up with the speed of software development. That evolution is critical. Software security is important ...

In the world of embedded software development, defects can cripple projects, delay releases, and ultimately lead to failures that affect everything from consumer electronics to mission-critical ...

Multi-processor architectures are becoming prevalent in today’s embedded systems to keep up with growing computational requirements, throughput and integrated system features. As an example, high-end ...

WIXOM, Mich. & LAS VEGAS--(BUSINESS WIRE)--At CES 2025, dSPACE will show how software for electric, autonomous, and software-defined vehicles can be tested efficiently using end-to-end SIL and HIL ...

Rapid software development with DevSecSafOps integrates safety into modern software development practices. Software is at the heart of many warfighting platforms. To meet Army transformation ...

What if your development environment could not only write code but also anticipate your needs, streamline your workflows, and adapt to the unique complexities of your projects? With the unveiling of ...