With the latest release of Helix QAC, the static code analysis tool continues to provide you with in-depth, high-quality compliance coverage for C and C++ coding languages. However, what makes Helix QAC 2021.1 notable is that it now offers complete support for many key coding standards. Here is an overview of the most impactful enhancements made to Helix QAC.
Product lifecycle management is all about the dynamics between requirements and their fulfilment (e.g., the ability to test and prove that a requirement is fully covered, as defined during the product planning phase). Understanding this relationship, and respecting it unconditionally, allows great products to achieve world-class quality and stability. For the majority of products, the combination of people, processes, and technology is triggering different forms of changes to the original plan.
Version control has become a critical tool for both developers and designers. And if you’re looking to create an expansive new world filled with complex 3D characters, you are probably looking at Maya. But what Maya version control system is best for creatives?
DevOps organizations continually look for ways to accelerate DevOps productivity and expedite their time to market. Without the right integrated tools, this can be rather challenging. Read along or jump to the section that interests you most.
Full traceability is critical for many organizations, particularly those who need to meet regulatory compliance in their industry or minimize risk. In this blog, we discuss the importance of traceability by examining four real examples of where a lack of traceability caused issues for organizations, in some cases proving very costly. Related blog >> What Is Traceability?
When the world went remote, studios needed to limit the number of people on set. To support the shift to remote work, teams needed to learn and implement new software tools. Game technology — like Unreal Engine and Unity — were powerful enough to meet the demands for this rapidly changing industry. But what else does a virtual production setup need?
In previous posts, we covered the basics of a C++ Microservices deployment including: With those basics in place, this blog will focus on optimization of the container in a C++ Microservices deployment. We'll examine how to structure the Dockerfile and the resulting Docker image to reduce the number of layers and disk space used.
