Automation Testing Tutorial Meaning, Process, Benefits & Tools

03/10/2023 0 By indiafreenotes

Automation Testing utilizes specialized automated testing software tools to execute a suite of test cases, while Manual Testing is conducted by a human who carefully performs the test steps in front of a computer.

With Automation Testing, the software tool can input test data into the System Under Test, compare actual results with expected ones, and generate comprehensive test reports. However, implementing Software Test Automation requires significant investments in terms of both finances and resources.

In subsequent development cycles, the same test suite needs to be executed repeatedly. Automation allows the recording and replaying of this test suite as needed. Once automated, no human intervention is necessary, leading to an enhanced Return on Investment (ROI) for Test Automation. It’s important to note that the aim of Automation is to reduce the manual test cases, not to entirely replace Manual Testing.

Why Test Automation?

Test Automation offers several compelling advantages that make it a crucial aspect of the software testing process. Reasons why organizations opt for Test Automation:

  1. Faster Execution

Automated tests can be executed much faster than manual tests, allowing for quicker feedback on the quality of the software.

  1. Repetitive Testing

Automated tests are ideal for repetitive tasks and regression testing, ensuring that previously validated features continue to function correctly with each new release.

  1. Improved Accuracy

Automated tests follow predefined steps precisely, minimizing the risk of human error that can occur in manual testing.

  1. Increased Test Coverage

Automation can handle a large number of test cases, enabling comprehensive testing across different scenarios, platforms, and configurations.

  1. Early Detection of Defect

Automated tests can be executed as soon as new code is integrated, allowing for the early identification of defects before they escalate.

  1. Consistency

Automated tests perform the same steps consistently, providing reliable and repeatable results.

  1. Resource Efficiency

Once automated, tests can be executed without the need for constant human intervention, allowing testers to focus on more complex and exploratory testing tasks.

  1. Parallel Testing:

Automation tools can run tests in parallel across different environments, significantly reducing test execution time.

  1. Load and Stress Testing

Automation is essential for simulating a large number of users and high loads to assess system performance under stress.

  1. Improved ROI

While there are initial investments in setting up and maintaining automated tests, the efficiency gains and increased test coverage over time can lead to a higher Return on Investment (ROI).

  1. Agile and Continuous Integration/Continuous Deployment (CI/CD)

Automation supports the rapid release cycles of Agile development and CI/CD pipelines by providing fast and reliable feedback on the quality of code changes.

  1. Cross-Browser and Cross-Platform Testing

Automated tests can easily be configured to run on different browsers, operating systems, and devices, ensuring compatibility across a wide range of environments.

  1. Better Reporting and Documentation

Automation tools can generate detailed reports, providing clear documentation of test results for stakeholders.

  1. Scalability

Automated tests can scale to handle large and complex applications, accommodating a higher volume of test cases and scenarios.

  1. Focus on Complex Testing

By automating routine and repetitive tests, manual testers can allocate more time and effort towards exploratory, usability, and other complex testing tasks.

Which Test Cases to Automate?

Determining which test cases to automate is a crucial decision in the Test Automation process. It’s essential to focus on scenarios that provide the most value and efficiency through automation. Guidelines to help you decide which test cases to prioritize for automation:

  • Frequently Executed Test Cases

Prioritize automating test cases that are executed frequently, especially in regression testing. This ensures that critical functionalities are consistently validated with each release.

  • High-Risk Functionalities

Identify high-risk areas or functionalities that are critical to the application’s core functionality or where defects could have significant consequences.

  • Stable User Interface (UI)

Automate test cases that involve a stable UI. Frequent UI changes may lead to continuous updates of automation scripts, which can be time-consuming.

  • Repeated Scenarios Across Builds

Automate scenarios that are repeated across different builds or versions. These may include basic functionality checks that remain constant.

  • DataDriven Test Cases

Automate test cases that involve multiple sets of test data. Automation can quickly run through various data combinations, providing extensive coverage.

  • Smoke and Sanity Tests

Automate critical smoke and sanity tests that validate basic functionality to ensure that the application is ready for more extensive testing.

  • CrossBrowser and Cross-Platform Testing

Automate test cases that involve compatibility testing across different browsers, operating systems, and devices.

  • Performance and Load Testing

Automate performance and load tests to simulate large user loads and assess system performance under stress.

  • Regression Testing

Automate regression test cases to verify that new code changes or enhancements have not adversely affected existing functionality.

  • API and Backend Testing

Automate API and backend tests to validate data processing, integration points, and interactions with external systems.

  • Security Testing

Automate security tests to identify vulnerabilities and weaknesses in the application’s security measures.

  • Positive and Negative Scenarios:

Automate both positive and negative scenarios to ensure that the application handles expected and unexpected inputs correctly.

  • Business-Critical Features

Prioritize automating test cases that relate to business-critical features or functionalities that have a direct impact on revenue or customer satisfaction.

  • Complex and Time-Consuming Tests

Automate complex test cases that involve intricate calculations, extensive data manipulation, or time-consuming manual steps.

  • Tests with High ROI

Focus on test cases where the return on investment (ROI) for automation is significant. This includes scenarios that require extensive coverage or are resource-intensive when executed manually.

Automated Testing Process

  • Identify Test Cases for Automation

The first step is to identify which test cases are suitable for automation. Prioritize scenarios that are repetitive, critical for the application, or need to be executed across multiple builds.

  • Select Appropriate Automation Tools

Choose the right automation testing tools based on your project’s requirements. Consider factors like supported platforms, scripting languages, ease of use, and integration capabilities with your existing development and testing environment.

  • Set Up the Test Environment

Configure the testing environment, which includes setting up the necessary hardware, software, configurations, and dependencies. Ensure that the environment closely resembles the actual production environment.

  • Create Test Scripts

Write test scripts using the chosen automation tool. This involves coding the steps that will be executed automatically during the testing process. Use a scripting language supported by the tool (e.g., Java, Python, etc.).

Configure Test Data:

Prepare the required test data or datasets that will be used during the automated testing process. This may include valid and invalid inputs, boundary values, and edge cases.

  • Develop Test Libraries and Modules

Create reusable libraries or modules that contain common functions, methods, and actions that can be utilized across multiple test cases. This promotes code reusability and maintainability.

  • Implement Version Control

Utilize version control systems (e.g., Git) to manage and track changes in your test scripts. This ensures that multiple team members can collaborate on automation projects and track the history of code changes.

  • Execute Automated Tests

Run the automated test scripts against the application under test (AUT). The scripts will interact with the AUT, perform actions, and verify expected outcomes.

  • Analyze Test Results

Review the test results generated by the automation tool. Identify any failures, errors, or discrepancies between expected and actual outcomes.

  • Debugging and Troubleshooting

Investigate and rectify any issues that caused test failures. This may involve debugging the test scripts, updating test data, or addressing environment-specific problems.

  • Report Generation

Explanation: Generate detailed reports summarizing the test execution results. Reports should include information on passed, failed, and skipped test cases, as well as any defects identified.

  • Integrate with Continuous Integration (CI) Tools

Integrate automated tests with CI tools like Jenkins, Travis CI, or others. This enables automated tests to be triggered as part of the CI/CD pipeline whenever there is a code commit or build.

  • Schedule and Execute Regression Suites

Set up a schedule for executing automated regression suites. This ensures that critical functionalities are continuously validated with each new build or release.

  • Maintain and Update Automation Scripts

Regularly review and update automation scripts to accommodate changes in the application, such as new features, UI modifications, or functionality updates.

  • Monitor and Optimize Test Execution

Monitor the test execution process for performance and efficiency. Optimize automation scripts and test suites for better resource utilization and faster execution times.

Framework for Automation

A testing framework is a structured set of guidelines, best practices, and tools used to automate the testing process. It provides a standardized way to organize and execute automated tests. There are several popular automation testing frameworks, each with its own advantages and use cases. Frameworks for automation testing:

  • Selenium WebDriver

Description: Selenium is one of the most popular open-source automation testing frameworks. Selenium WebDriver allows you to automate web browsers and perform actions like clicking buttons, filling forms, and navigating through web pages.

Advantages: Supports multiple programming languages (Java, Python, C#, etc.), works with various browsers, and integrates well with other tools.

  • TestNG

Description: TestNG is a testing framework inspired by JUnit and NUnit. It provides annotations for test setup, execution, and cleanup, making it a powerful tool for test automation.

Advantages: Supports parallel test execution, data-driven testing, and comprehensive test reporting.

  • JUnit:

Description: JUnit is a widely used testing framework for Java applications. It provides annotations for writing test cases, running tests, and generating reports.

Advantages: Easy to learn and integrate with Java projects. It’s well-suited for unit testing.

  • Cucumber:

Description: Cucumber is a behavior-driven development (BDD) tool that supports the creation of test cases in plain language. It uses the Gherkin language for test case specification.

Advantages: Promotes collaboration between technical and non-technical team members, provides clear and understandable test scenarios.

  • Appium:

Description: Appium is an open-source automation tool for mobile applications, both native and hybrid. It supports Android, iOS, and Windows platforms.

Advantages: Allows testing of mobile apps across different platforms using a single codebase.

  • Robot Framework:

Description: Robot Framework is an open-source automation framework that uses a keyword-driven approach. It supports both web and mobile application testing.

Advantages: Easy-to-understand syntax, supports keyword-driven testing, integrates with other tools and libraries.

  • Jenkins:

Description: While not a testing framework per se, Jenkins is a popular continuous integration and continuous deployment (CI/CD) tool. It can be integrated with various testing frameworks for automated testing in a CI/CD pipeline.

Advantages: Provides automated build and deployment capabilities, integrates with numerous testing frameworks.

  • TestComplete:

Description: TestComplete is a commercial automation testing tool that supports both web and desktop applications. It provides a range of features for recording, scripting, and executing tests.

Advantages: Supports various scripting languages, offers a user-friendly interface for creating and managing automated tests.

  • Protractor:

Description: Protractor is an end-to-end testing framework for Angular and AngularJS applications. It is built on top of WebDriverJS and is specifically designed for testing Angular apps.

Advantages: Provides Angular-specific locator strategies and supports asynchronous testing.

  • Jest:

Description: Jest is a zero-config JavaScript testing framework commonly used for testing JavaScript applications, including React and Node.js projects.

Advantages: Easy to set up, provides a built-in test runner, and supports snapshot testing.

Automation Tool Best Practices

  • Select the Right Tool for the Job

Choose an automation tool that aligns with your project’s requirements, including supported platforms, scripting languages, and integration capabilities.

  • Keep Test Suites Modular and Reusable

Organize test cases into modular units or libraries that can be reused across different tests. This promotes code reusability and maintainability.

  • Follow Coding Standards and Conventions

Adhere to coding standards and best practices to ensure consistency, readability, and maintainability of automation scripts.

  • Use Descriptive and Meaningful Names

Use clear and descriptive names for variables, functions, and test cases to make the code easier to understand and maintain.

  • Implement Version Control

Use a version control system (e.g., Git) to manage and track changes in your automation scripts. This allows multiple team members to collaborate on automation projects and keeps a history of code changes.

  • Leverage Page Object Model (POM)

Implement the Page Object Model pattern to separate the representation of web pages from the actual automation code. This promotes maintainability and reusability.

  • Handle Synchronization and Waits

Implement appropriate synchronization techniques to handle dynamic elements and ensure that automation scripts wait for elements to become available before interacting with them.

  • Parameterize Test Data

Use data-driven testing techniques to separate test data from test scripts. This allows you to run the same test case with different sets of data.

  • Perform Code Reviews

Conduct regular code reviews to ensure that automation scripts adhere to coding standards, follow best practices, and are free from errors.

  • Regularly Update and Maintain Scripts

Keep automation scripts up-to-date with changes in the application, such as new features, UI modifications, or functionality updates.

  • Implement Error Handling and Logging

Include proper error handling mechanisms to gracefully handle exceptions and log relevant information for troubleshooting and debugging.

  • Execute Tests in Different Environments

Run tests on different browsers, operating systems, and devices to ensure cross-browser and cross-platform compatibility.

  • Integrate with Continuous Integration (CI) Tools

Integrate automated tests with CI tools like Jenkins, Travis CI, or others. This allows automated tests to be triggered as part of the CI/CD pipeline whenever there is a code commit or build.

  • Generate Comprehensive Reports

Use the reporting capabilities of your automation tool to generate detailed reports that provide insights into test execution results.

  • Document Test Cases and Scenarios

Maintain clear and detailed documentation for test cases, scenarios, and automation processes. This aids in knowledge sharing and onboarding of new team members.

Benefits of Automation Testing

  • Increased Test Coverage:

Automation allows for the execution of a large number of test cases in a short amount of time. This ensures that a broader range of functionalities and scenarios are tested.

  • Faster Test Execution

Automated tests can be run much faster than manual tests, allowing for quicker feedback on the quality of the software.

  • Repeatability and Consistency

Automated tests perform the same steps consistently, reducing the risk of human error and providing reliable and repeatable results.

  • Regression Testing

Automation is well-suited for regression testing, allowing for the quick verification of existing functionalities after code changes.

  • Parallel Execution

Automation tools can run tests in parallel across different environments, significantly reducing test execution time.

  • Early Detection of Defects

Automated tests can be executed as soon as new code is integrated, allowing for the early identification of defects before they escalate.

  • Cost-Efficiency

While there are initial investments in setting up and maintaining automated tests, the efficiency gains and increased test coverage over time can lead to a higher Return on Investment (ROI).

  • Increased Productivity

Testers can focus on more complex and exploratory testing tasks, as routine and repetitive tests are automated.

  • Cross-Browser and Cross-Platform Testing

Automated tests can easily be configured to run on different browsers, operating systems, and devices, ensuring compatibility across a wide range of environments.

  • Load and Stress Testing

Automation is essential for simulating a large number of users and high loads to assess system performance under stress.

  • Improved Accuracy

Automated tests follow predefined steps precisely, minimizing the risk of human error that can occur in manual testing.

  • Improved ROI of Test Automation

Once a test suite is automated, no human intervention is required for its execution, leading to an enhanced Return on Investment (ROI) for Test Automation.

  • Support for Continuous Integration/Continuous Deployment (CI/CD)

Automation integrates seamlessly with CI/CD pipelines, allowing for automated testing as part of the development and deployment process.

  • Usability Testing

Automated tests can be set up to perform checks on user interfaces, providing valuable insights into usability and user experience.

  • Better Reporting and Documentation

Automation tools can generate detailed reports, providing clear documentation of test results for stakeholders.

Types of Automated Testing

  • Unit Testing

Unit tests focus on verifying the functionality of individual units or components of the software in isolation. These units could be functions, methods, or classes.

  • Integration Testing

Integration tests evaluate the interactions and interfaces between different units or components of the software to ensure that they work together as expected.

  • Functional Testing

Functional tests verify whether the software functions as per specified requirements. This type of testing checks features, user interfaces, APIs, and databases.

  • Regression Testing

Regression tests are executed to verify that new code changes or enhancements have not adversely affected existing functionality. It’s crucial for maintaining the integrity of the software.

  • Acceptance Testing

Acceptance tests evaluate whether the software meets the business requirements and if it’s ready for release. It can be categorized into User Acceptance Testing (UAT) and Alpha/Beta Testing.

  • Load Testing

Load tests assess how well the software handles a specified load or concurrent user activity. It helps identify performance bottlenecks and scalability issues.

  • Stress Testing

Stress testing involves pushing the software to its limits to evaluate how it performs under extreme conditions. This helps in understanding system behavior under stress.

  • Security Testing

Security tests focus on identifying vulnerabilities, weaknesses, and potential security breaches within the software. This includes tests like penetration testing and vulnerability scanning.

  • Compatibility Testing

Compatibility tests ensure that the software functions correctly across different environments, browsers, operating systems, and devices.

  • Usability Testing

Usability tests assess the user-friendliness and overall user experience of the software. This type of testing evaluates the software’s ease of use, navigation, and intuitiveness.

  • API Testing

API tests verify the functionality, reliability, and security of the application programming interfaces (APIs) used for communication between different software components.

  • Mobile Testing

Mobile tests focus on verifying the functionality, compatibility, and usability of mobile applications across different devices, platforms, and screen sizes.

  • GUI Testing

GUI (Graphical User Interface) tests evaluate the visual elements and interactions of the user interface, ensuring that it functions correctly and meets design specifications.

  • Exploratory Testing

Exploratory testing involves simultaneous learning, test design, and test execution. Testers explore the application dynamically, identifying defects and areas for improvement.

  • Continuous Integration Testing

Continuous Integration (CI) tests are automated tests that are integrated into the CI/CD pipeline. They are executed automatically whenever code changes are committed to the repository.

How to Choose an Automation Tool?

  • Define Your Requirement

Understand the specific requirements and objectives of your project. Consider factors like the type of application (web, mobile, desktop), supported platforms, scripting languages, integration capabilities, and budget constraints.

  • Assess Application Compatibility

Ensure that the automation tool supports the technology stack and platforms used in your application. Verify if it can interact with the application’s UI elements, APIs, databases, etc.

  • Evaluate Scripting Language

Check if the tool supports scripting languages that your team is proficient in. This ensures that automation scripts can be written and maintained effectively.

  • Consider Test Environment

Verify if the automation tool can seamlessly integrate with your development and testing environment, including version control systems, continuous integration tools, and test management platforms.

  • Review Documentation and Community Support

Explore the tool’s documentation and community forums. A well-documented tool with an active community can provide valuable resources and support for troubleshooting and learning.

  • Assess Learning Curve

Consider the learning curve associated with the tool. Evaluate whether your team can quickly adapt to using the tool or if extensive training will be required.

  • Evaluate Reporting and Logging

Check the tool’s reporting capabilities. It should provide detailed and customizable reports to analyze test results and track defects.

  • Check Cross-Browser and Cross-Platform Support

If your application needs to be tested across different browsers, operating systems, or devices, ensure the automation tool can handle this requirement.

  • Consider Licensing and Costs

Evaluate the licensing model of the automation tool. Some tools may be open-source, while others require a commercial license. Consider your budget constraints and licensing fees.

  • Assess Test Maintenance Effort

Consider how easy it is to maintain and update automation scripts. Look for features like object repository management, dynamic element handling, and script modularity.

  • Evaluate Parallel Execution Support

If you require parallel test execution for faster results, ensure the tool supports this feature.

  • Vendor Support and Updates

Check if the tool’s vendor provides regular updates, bug fixes, and technical support. This is crucial for addressing issues and staying up-to-date with technology changes.

  • Trial and Proof of Concept (POC)

Conduct a trial or Proof of Concept (POC) with the shortlisted tools. This hands-on experience will help you assess the tool’s capabilities and suitability for your project.

  • Seek Recommendations and References

Seek recommendations from industry peers, forums, or communities. Additionally, ask the tool’s vendor for references or case studies of successful implementations.

  • Finalize and Document the Decision

Based on the evaluation, select the automation tool that best aligns with your project’s requirements and objectives. Document the decision-making process for future reference.

Automation Testing Tools

There are numerous automation testing tools available in the market, each catering to different types of applications and technologies. Here are some popular automation testing tools:

  • Selenium

Selenium is one of the most widely used open-source automation testing frameworks for web applications. It supports multiple programming languages (Java, Python, C#, etc.) and browsers.

  • Appium

Appium is an open-source automation tool specifically designed for mobile applications. It supports both Android and iOS platforms, making it a versatile choice for mobile testing.

  • TestNG

TestNG is a testing framework inspired by JUnit and NUnit. It is well-suited for Java-based projects and supports parallel test execution, data-driven testing, and comprehensive reporting.

  • Jenkins

Jenkins is a popular open-source continuous integration and continuous deployment (CI/CD) tool. While not a testing tool itself, it integrates seamlessly with various automation testing tools.

  • JUnit

JUnit is a widely used testing framework for Java applications. It is particularly well-suited for unit testing and provides annotations for writing test cases.

  • Cucumber

Cucumber is a behavior-driven development (BDD) tool that supports the creation of test cases in plain language. It uses the Gherkin language for test case specification.

  • TestComplete

TestComplete is a commercial automation testing tool that supports both web and desktop applications. It provides a range of features for recording, scripting, and executing tests.

  • Robot Framework

Robot Framework is an open-source automation framework that uses a keyword-driven approach. It supports both web and mobile application testing.

  • Protractor

Protractor is an end-to-end testing framework specifically designed for Angular and AngularJS applications. It is built on top of WebDriverJS.

  • SoapUI

SoapUI is a widely used open-source tool for testing web services (SOAP and RESTful APIs). It provides a user-friendly interface for creating and executing API tests.

  • Katalon Studio

Katalon Studio is a comprehensive automation testing platform that supports web, mobile, API, and desktop application testing. It offers a range of features for test creation, execution, and reporting.

  • SikuliX

SikuliX is an automation tool that uses image recognition to automate graphical user interfaces. It is particularly useful for automating tasks that involve visual elements.

  • Watir

Watir (Web Application Testing in Ruby) is an open-source automation testing framework for web applications. It is designed to be simple and easy to use, particularly for Ruby developers.

  • LoadRunner

LoadRunner is a performance testing tool that simulates real user behavior to test the performance and scalability of web and mobile applications.

  • Telerik Test Studio

Telerik Test Studio is a commercial testing tool that supports automated testing of web, mobile, and desktop applications. It provides a range of features for test creation and execution.

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