Perform Code Quality Checks

TABLE OF CONTENTS

1.Overview 

2. Usage of Code Quality Assessment Tools

1.Overview 

Conducting code quality assessments is an important practice to ensure the reliability of your codebase. This involves examining the code for duplicate methods, XPath repetitions, spelling errors, similar methods, and minor warnings.

2. Usage of Code Quality Assessment Tools

To perform this process, the following tools are used:

1. JSCPD: JSCPD is a JavaScript copy-based detector that helps identify duplications within the code. By detecting duplicates, developers can remove redundant code and refactor methods for better reuse, ultimately improving the overall quality of the code.
2. Sonar Lint: Sonar Lint is an IDE extension specifically designed for Java that functions like a spell checker for code. It identifies issues in real-time as you write code, helping developers detect and address quality concerns early in the development process, thus contributing to the creation of more efficient code.
3. Pylint: Pylint is a tool that helps developers improve the quality of their Python code by identifying errors, enforcing coding standards ( naming conventions and readable code), and providing suggestions for specific code block updates.
   1. Install Pylint
      You can install Pylint by running the following command and press Enter:

      pip install pylint

   2. To verify the Pylint installation, run the following command and press Enter:

      pylint --version

   3. Working with Pylint
      When working with Pylint, it's important to adhere to best practices to maintain code quality. In the provided screenshot:
      

      1. Naming Convention: Follow the naming convention "button_selected" for UI elements to ensure consistency and clarity.

      2. Action Definition: Define clear actions for each UI element to document its purpose and behavior effectively.

      3. Variable Definition: Use descriptive names for variables, such as "identificationtype," to convey their purpose clearly.

   4. Execution report -After running Pylint on your codebase, you'll receive an execution report as follows. A score above 8 indicates good code quality.
      Ensure that you run the command from the same folder where you have downloaded the scripts, and make sure that the file extension for the scripts is '.py'.