Best ways to incorporate security into the software development life cycle Your email has been sent With the persistence of security issues in software development, there is an urgent need for ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More According to the latest edition of the annual Synopsys Building Security ...

Considering the scaling history and trajectory of generative AI models (specifically large language models, or LLMs) specialized for coding, the software development life cycle (SDLC) is ripe for ...

Move your control and automation software development from disconnected individual efforts on isolated laptops to agile team workflows in cyber-secure, cloud-based pipeline environments. Aviation, ...

All companies i depend upon business to business software applications to enhance operations, creating a broad range of risks in the process. These risks include security, availability, recoverability ...

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).

RALEIGH, N.C.--(BUSINESS WIRE)--Digital.ai, the leading provider of enterprise-grade software development and delivery solutions, today unveiled its 17th annual State of Agile report, the ...

Pressure grows for software better aligned with business. Agile techniques have been stagnant for a decade. AI may speed up Agile team output. Agile has always had the best intentions: work side by ...

When developing software, we often think about the various features it will provide and how it will improve users’ efficiency. We seldom want to think about what hidden bugs the software might contain ...

What happens when the tools we use to create software evolve faster than the methods we rely on to manage them? This isn’t just a hypothetical question, it’s the reality developers face as AI-powered ...