In the constantly evolving world of software engineering, a codebase eventually runs into maintainability issues over time. This can be due to various reasons, such as new programming paradigms, new language features, deprecated libraries and APIs, etc. Keeping up with these issues manually is a nigh impossible task. Luckily, there is a tool specifically designed to keep your codebase shipshape: static code analysis (SCA).

Static code analysis tools scan and examine the source codes in the codebase to identify potential issues, errors, or vulnerabilities. SCA can also aid development teams by enforcing coding standards and conventions. Most SCA tools support multiple languages, but not all. Before adopting an SCA tool, consult the manual for the tool you’re considering to ensure it supports the language of your codebase.

SCA tools can provide various benefits to the software development lifecycle. Aside from increasing maintainability of the codebase, SCA tools can also help with the following:

Improving code quality and maintainability

SCA tools provide clear coding standards and best practices. A codebase with consistent coding standards is also easier to maintain and makes it easier for teams to collaborate.

Enhanced security

SCA tools can detect potential security issues and vulnerabilities. Addressing the vulnerabilities early in the development process can significantly reduce the risk of security breaches in the application.

Figure 1. Example of SCA tool SonarQube identifying a security vulnerability risk

Early bug detection

SCA tools can help identify potential bugs or vulnerabilities early in the development lifecycle. They can point out programming errors, syntax issues, and logical flaws early on, which reduces the cost to fix these issues compared to being discovered later in the development cycle.

Figure 2. List of potential bugs/vulnerabilities SonarQube can detect in a codebase

Increased developer productivity

SCA tools allow parts of the code review and change acceptance process to be automated. This enables developers to spend more time in the more complex areas of the code review rather than on the surface-level changes (syntax, nonfunctional changes, etc.).

SCA tooling offers a lot of benefits to the software development lifecycle. When used properly, SCA can help provide improved code quality and maintainability. It can also provide the application with enhanced security and assist in the development cycle with early bug detection. Furthermore, SCA can help developers increase their productivity by automating surface-level code review processes, allowing them to spend more time on more complex tasks. I hope this article encourages you to try out a form of static code analysis tooling in your code base.

Synergex is currently developing an SCA tool. Stay tuned for more information coming soon!