Code analysis

What is meant by Code analysis?

The term "code analysis" refers to the process of examining and evaluating source code to improve its quality, security, and efficiency. Code analysis can be performed manually or automatically and involves checking for errors, security vulnerabilities, code conventions, and performance issues. The goal of code analysis is to enhance the maintainability and reliability of the code and to identify potential weaknesses early on.

Typical Software Functions in the Area of "Code Analysis":

1. Static Code Analysis:

   • Analysis of source code without executing it to identify syntax errors, code style violations, and potential bugs.
   • Detection of code duplicates and violations of coding standards.

2. Dynamic Code Analysis:

   • Analysis of the code during execution to uncover runtime errors, performance issues, and security vulnerabilities.
   • Monitoring for memory leaks and other dynamic problems.

3. Security Analysis:

   • Checking the code for security gaps and vulnerabilities such as SQL injection, Cross-Site Scripting (XSS), and insecure data handling.
   • Implementation of security policies and best practices.

4. Code Quality Metrics:

   • Measurement of metrics such as code complexity, test coverage, and cyclomatic complexity to assess code quality.
   • Creation of metric dashboards and reports for developers and project managers.

5. Refactoring Support:

   • Suggestions for improving the code structure and readability through refactoring tools.
   • Automatic restructuring of code to reduce redundancy and enhance maintainability.

6. Integration into Development Environments:

   • Incorporation of code analysis tools into integrated development environments (IDEs) for continuous code review during development.
   • Automatic code analysis with each build or commit.

7. Error and Warning Messages:

   • Automatic generation of error and warning messages when problems are detected in the code.
   • Providing detailed descriptions and suggestions for fixing identified issues.

8. History and Version Analysis:

   • Comparison of code versions and analysis of changes over time.
   • Detection of regressions and evaluation of the impact of code changes.