With the growing number of cybersecurity threats and stringent government policies, organizations are obliged to follow security measures to ensure robust protection at all times. This is where the ...

Static code analysis offers extensive insights into code that can help you improve code quality and security, the speed of development, and even team collaboration and planning. Here’s everything you ...

One of the best ways to protect your software project from avoidable bugs is the use of Java static code analysis tools. These tools can help identify and fix problematic code before it reaches ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

These static application security testing and dynamic application security testing tools can help developers spot code errors and vulnerabilities quicker. The so-called software supply chain has been ...

Whether you're a seasoned Java programmer or a Java neophyte, testing Java applications is important. It ensures your application does what it's supposed to. Fortunately, there are plenty of automated ...

AI assistants are a double-edged sword for developers. On one hand, code-generation assistants have made creating barebones applications easier and led to a surge in code pushed to GitHub. Yet just as ...

Back in the day, we'd write some code, compile, execute, see what happened and repeat. That was testing. (Sometimes that's still what testing looks like, for better or worse.) Today, we can do a lot ...

What is the difference between static code analysis and dynamic code analysis? Is one method preferred over another in terms of security? Static and dynamic code analyses are performed during source ...

Creating a self-healing code agent is a fantastic approach to enhancing the quality and reliability of code generated by language model (LM)-based agents. Have you ever been frustrated by buggy, ...

Back in the day, we'd write some code, compile, execute, see what happened and repeat. That was testing. (Sometimes that's still what testing looks like, for better or worse.) Today, we can do a lot ...