In 2020, it was projected that U.S. companies lost over $2 trillion due to poor-quality software. These costs came from unsuccessful projects, legacy software and operational failures, adding to a ...

The increasing dependence on software in every aspect of our lives makes us more vulnerable to cybercrime. Not only are breaches getting more ingenious and frequent, but they are also getting more ...

SDLC guides teams to plan, build, test, and deliver software. Discover phases, KPIs, tools, and checklist with our quick start guide. Picture this: You and your team have spent a tremendous amount of ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Security shouldn’t be an afterthought. Releasing code filled with ...

In working for multiple companies I’ve been surprised at the lack of regimen that is used when deploying critical custom applications in their data center. There is a development process that some of ...

The purpose of an SDLC methodology is to provide IT Project Managers with the tools to help ensure successful implementation of systems that satisfy University strategic and business objectives. The ...

Although it is sometimes thought that quality assurance (QA) and software testing are the same, they are, in fact, different concepts. They differ in their objectives, features and methods. Testers ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Devops teams are sacrificing focus on security gate reviews to meet tight ...

As your business grows, it’s increasingly important to understand how to scale engineering processes and methodologies. The amount of time spent on setup, deployment and manually testing code is often ...

Code generation and copilots are just the beginning of new AI-enabled ways to develop, test, deploy, and maintain software. Coding in the 1990s usually meant selecting an editor, checking code into ...