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Complete RoadMap from Manual QA To QA Automation

In this article I have provided a comprehensive guide about different technologies, frameworks and programming languages that can be used to advance your career. Now if you know or understand one technology from each domain, does not mean you should not learn something new. Grasping more knowledge will always help to create a new perspective, hence keep learning.

Image by Japneet Sachdeva

Version Control System (VCS)

Tools: Git, SVN

Why?

Use: Track changes, manage source code versions, and facilitate collaboration among team members.

Version Control System (VCS)

CI Servers

Tools: Jenkins, Travis CI, GitLab CI, GitHub Actions, CircleCI

Why?

Use: Automate the build, test, and deployment processes triggered by code changes in the version control repository.

Build Automation

Tools: Maven, Gradle (Java), npm (JavaScript), MSBuild (Microsoft)

Why?

Use: Compile source code, manage dependencies, and package the application or testing framework for execution.

Dependency Management

Tools: Maven, Gradle (Java), npm (JavaScript), pip (Python)

Why?

Use: Resolve and manage project dependencies, ensuring that the correct libraries and tools are used during the build process.

Static Code Analysis

Tools: SonarQube, Checkstyle, ESLint, Pylint

Why?

Use: Analyze source code for code quality, identify potential issues, enforce coding standards, and detect security vulnerabilities.

Testing

Frameworks: JUnit, TestNG (Java), NUnit (.NET), pytest (Python), Mocha, Jasmine (JavaScript)

Why?

Use: Verify the correctness of individual components or units of code.

Automation Testing Libraries

Libraries: Selenium WebDriver, Appium, JUnit, TestNG, Cucumber, JBehave, Appium, TestComplete, Robot Framework

Why?

Use: Automate end-to-end and integration tests for the application under test.

Parallel Test Execution

Tools: TestNG (parallel test execution), Selenium Grid, Docker (for parallelizing tests in containers)

Why?

Use: Execute tests concurrently to reduce overall test execution time.

Test Data Management

Tools: Faker (generate fake data), Test Data Management tools

Why?

Use: Manage and generate test data for automated test scenarios.

Continuous Integration as Code

Tools: Jenkinsfile, GitHub Actions workflows, GitLab CI YAML configuration

Why?

Use: Define CI/CD pipelines as code, enabling version control and reproducibility of the CI process.

Environment Virtualization

Tools: Docker, Vagrant

Why?

Use: Create and manage isolated, reproducible environments for testing and deployment.

Notification and Collaboration

Tools: Slack, Microsoft Teams, Email notifications

Why?

Use: Notify team members about build status, test results, and other important events.

Cloud Platforms

Platforms: AWS, Azure, Google Cloud Platform

Why?

Use: Host CI/CD infrastructure, testing environments, and deploy applications.

Collaboration Platforms

Tools: Jira, Confluence, Trello

Why?

Use: Facilitate communication, collaboration, and project management among team members.

These tools and technologies work together to create a robust CI/CD pipeline for automation testing frameworks. The specific tools chosen may depend on the project’s requirements, team preferences, and the technology stack used in the application under test.

Happy Learning!!

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