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FABIOLA ESTEFANI POMA MACHICADO

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Testing Management Tools

Test management tools help software developers automate and manage testing. These tools are important to verify that the software is working correctly. For example:

1. GitHub Actions
GitHub Actions is built into GitHub. It lets you automate tests directly in your project repository. You can write workflows in YAML files to run tests.

Example:

name: Run Tests
on:
  push:
    branches:
      - main
jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Run Tests
        run: npm test
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Pros:

Easy to integrate if you use GitHub.
Free for public repositories.

Cons:
Limited free minutes for private repositories.

2. Jenkins
Jenkins is an open-source tool. It supports many plugins to help automate testing and deployment.

Example:

1) Install Jenkins on your server.
2) Create a pipeline to test your code.
3) Use a Jenkinsfile to define steps.

pipeline {
    agent any
    stages {
        stage('Test') {
            steps {
                sh 'npm test'
            }
        }
    }
}
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Pros:

Very flexible.
Works with almost any tool.

Cons:
Needs more setup.
Requires a server.

3. GitLab CI/CD
GitLab CI/CD is part of GitLab. It helps to run tests and deploy applications. Like GitHub Actions, it uses YAML files.

test:
  stage: test
  script:
    - npm test
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Pros:
Integrated with GitLab.
Free tier includes many features.

Cons:
Can be complex for beginners.

Conclusion
Testing management tools like GitHub Actions, Jenkins, and GitLab CI/CD make it easier to automate and improve the testing process. Each tool has unique features: GitHub Actions is simple for GitHub users, Jenkins is flexible for advanced setups, and GitLab CI/CD is great for GitLab projects.

Top comments (1)

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reema_riyazkhan_aa44ab89 profile image
Reema Riyaz Khan •

Great post!! You explained how GitHub Actions, Jenkins, and Gitlab CI/CD work to automate testing. A simple next step would be to store test cases and test plans in Markdown files within the same repository. This will allow the team to test cases in Markdown files with structure, store them within the same repository as the code, use version control to track changes and store test results in JSON files.
This makes it easier for developers, testers, and even AI tools to read the data and understand the real QA status directly from the repository without checking another dashboard.