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Generate-Test-AI

Generate-Test-AI

AmazingggCode

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867 installs
| (3) | Free
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Installation
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Code Test Case Generator - Visual Studio Code Extension

Overview

The Code Test Case Generator is a Visual Studio Code extension that allows you to automatically generate test cases for your code by utilizing a generative AI model, such as ChatGPT. This extension aims to streamline the process of writing test cases for your code, saving you time and effort in software testing.

Features

  • Automated Test Case Generation: Generate test cases for your code with just a few clicks.
  • AI-Powered: Utilize generative AI to create test cases that cover various scenarios.
  • Customization: Configure the AI model and test case generation parameters.
  • Integrated Workflow: Seamlessly integrate test case generation into your development workflow.
  • Code Compatibility: Supports multiple programming languages and code frameworks.

Installation

  1. Install Visual Studio Code if you haven't already: Download Visual Studio Code.

  2. Open Visual Studio Code.

  3. In the sidebar, click on the Extensions icon (or press Ctrl+Shift+X).

  4. Search for "Code Test Case Generator."

  5. Click the "Install" button for the extension.

Usage

  1. Open the source code file for which you want to generate test cases.

  2. Select the code snippet or function you want to create test cases for.

  3. Right-click on the selected code or use a keyboard shortcut to access the Code Test Case Generator.

  4. Configure the AI model and test case generation parameters as needed.

  5. Click the "Generate Tests" button.

  6. Review and refine the generated test cases as required.

  7. Save the test cases to your test suite or export them to your preferred testing framework.

Configuration

You can customize the behavior of the Code Test Case Generator by modifying the extension's settings:

  1. Open Visual Studio Code settings by clicking on "File" > "Preferences" > "Settings."

  2. Search for "Code Test Case Generator" in the search bar.

  3. Adjust the AI model, parameters, and other options to fit your project's requirements.

  4. Save the settings.

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