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 ...

A little while back, we were talking about utilizing compiler warnings as first step to make our C code less error-prone and increase its general stability and quality. We know now that the C compiler ...

Whether to use static or dynamic source code analysis is a long-running, ongoing open question. IT professionals use both methods for application debugging and security, a crucial facet of software ...

The DevOps Movement has many recommended practices for automation of processes and testing. However, across different market verticals, the requirements, practices, and cadence of releases very widely ...

If you’re not doing static code analysis (aka static analysis), now is the time to start. Delivering code faster has dubious value if the quality degrades as development cycles shrink. On the other ...

Finding problems in applications is not always an easy task. Finding and solving problems dynamically often involves implementing debuggers and trace utilities while trying to duplicate a symptom.

When thinking about loops in programming languages, they often get simplified down to a conditions section and a body, but this belies the dizzying complexity that emerges when considering loop edge ...

Compare one-off docker run commands with repeatable Compose configuration for single-container and multi-container applications. Follow practical Git commands for cloning a repository or initializing ...

Static source code analysis tools have evolved from simple syntax checkers to powerful tools for identifying flaws in the complex interactions of large code bases. Until recently, however, they were ...