Code smell, although often neglected by many programmers, is an important factor that we all should care about to write more maintainable and readable code. Throughout this project, we have discovered that the existing Python smell detectors are not exhaustive enough to cover some code smells that are common in codes written in Python. We have built a wrapper tool, Pyscent, to detect code smells that are not detected by the existing tools. Considering the report that shows the popularity of Python is higher than ever in the developer community, we expect Pyscent to provide developers a more effective way to detect code smells in their projects.
Problem Definition
Detect code smells in Python code
Find common security issues in Python code
Survey different candidates of python code analysis tools to see which types of code smells are addressed with tools available
Compute various metrics from the Python source code
Help enforce coding standard for Python
Add additional code smell features to the existing open source tool
Develop a wrapper tool which summarizes metrics for code smells based on the output of different types of existing tools
Provide analysis of code smells through data visualization
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent