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 ...

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 ...

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 ...

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 ...

So, how can teams review code to make sure that the three primary goals are met? Code analysis is the easy answer to the question, but should it be static code analysis? What about dynamic code ...

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 ...

being a user of PCLINT for some years now (private and professional), I was thinking whether some static analysis tool could help our company to spot issues like 32 vs. 64bit discrepancies and - more ...

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 ...