Parallel development is here. See tactics to manage AI generated code variations, reduce PR clutter, and shift testing to ...

ZDNET's key takeaways 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 ...

In the race to build and release software faster, many organizations unintentionally overlook one critical aspect: security and process integrity within the Software Development Life Cycle (SDLC).

In a new reality where the widespread use of LLMs has fundamentally altered what users expect from software, ISVs have to ...

AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems ...

Before a car rolls off the production line, manufacturers run virtual tests on it. Simulating tires is particularly ...

Software developers will still drive the core constructs of any given codebase, they will determine the algorithmic logic ...

Integrating a Secure Product Development Framework into the product development lifecycle can help ensure security from the ...

In industrial engineering, digital twins—computer models of systems or processes—let scientists try out ideas before finalizing designs. In addition, on the factory floor, twins can model processes in ...

Balancing the benefits provided by community and transparency with the risks posed by capacity and warranty issues.