Test Automation is one of the major enablers for the explosion of different types of software and apps in the market. According to AIMultiple, “33% of organizations are planning 50-75% of their automation process, while 20% are planning to automate more than 75% of their testing process.”
Test automation refers to an approach to running your tests with minimal human intervention.
For a long time, developers used to automate their unit testing alone. In this process, the tests check whether a given function is working properly or not. Then came automated frameworks like Selenium, which helped automate the testing of modules and entire applications. These frameworks replicate user actions and interact with your UI. For example, they will scroll down, click a button to see how it is responding, locate the entry text box, and fill it out. With these actions, you can check whether the UI is working correctly or not.
Visual Summary
Test Automation will help you to do more testing faster and more efficiently.
Manual Testing | Automation Testing | |
Speed | Slow | Fast |
Reliability | Medium | High |
Test Maintenance Efforts | High | Low |
Test Reusability | Low | High |
Test Coverage | Medium | High |
Setup Cost | Low | High |
As you can see, test automation brings in more benefits to the table, it is efficient and reliable.
There are some factors that you need to consider while deciding whether to automate a test or not. Here are the types of tests that you need to automate:
There are some other tests that can be automated as well. We have curated an in-detail blog discussing this topic. Make sure to read that.
When it comes to test automation, there is a 4-step process that you need to follow:
Once you have chosen the tool and have a proper plan in place, it is time for you to implement the test automation in the best possible way to leverage it.
Not all tests are suitable for automation. It’s essential to choose the right tests to automate. Typically, tests that are repetitive, time-consuming, critical, and require frequent execution are the best candidates for automation. Prioritize tests based on their impact on the application and consider factors like ROI (Return on Investment) and stability. Complex, constantly changing tests may not be the best candidates for automation.
Before automating tests, ensure that the manual test cases are stable and well-defined. Frequent changes in the application can result in a high maintenance overhead for automated tests. Stabilizing the test cases means that the application’s functionality and user interface are relatively stable, reducing the likelihood of frequent test script updates. This practice helps avoid unnecessary rework and maintenance.
Test data is a critical aspect of test automation. Ensure that you have a well-defined strategy for generating and managing test data. Good quality test data should cover various scenarios and edge cases, providing comprehensive test coverage. Keep the test data separate from the test scripts and ensure it is easy to maintain and update when necessary. Avoid using sensitive or production data in your test environment. You can also use AI for Test Data Management.
The closer your test environment mirrors the production or deployment environment, the more reliable your test results will be. Ensure that the test environment matches the configurations, hardware, software, and dependencies of the production environment as closely as possible.
This minimizes the chances of issues being missed during testing due to environmental differences. It’s also essential to maintain version control for the test environment setup to ensure consistency.
Shift Left Testing is a practice that emphasizes testing activities early in the development lifecycle. Begin testing as soon as possible, ideally during the requirements and design phases. This helps in detecting and addressing issues earlier in the development process when they are less expensive to fix. Continuous integration and continuous delivery (CI/CD) pipelines are often used to automate and streamline this process, allowing for faster feedback and quicker bug resolution.
The best practices mentioned above will pave the way for successful test automation implementation. However, choosing the right tool, like Webomates CQ, can simplify the process and make it even better. Connect with us at info@webomates.com to transform your software testing process.
Also you can Start your Free Trial with Webo.AI, AI Test Automation Platform powered by Webomates
AI enhances test automation by enabling intelligent test case generation, predictive analytics for defect detection, and adaptive test maintenance, leading to more efficient and effective testing processes.
Continuous testing involves executing automated tests as part of the software delivery pipeline, providing immediate feedback on business risks associated with a software release candidate, and ensuring that quality is maintained throughout the development lifecycle.
Data-driven testing involves running the same set of test steps multiple times with different input values and expected results, allowing for more comprehensive test coverage and easier maintenance of test scripts.
Hybrid testing frameworks combine multiple testing approaches, such as data-driven and keyword-driven testing, to leverage the advantages of each, resulting in more flexible, maintainable, and scalable test automation solutions.
Maintaining automated test suites can be challenging due to frequent application changes, leading to test script failures. Regular updates, modular test design, and the use of self-healing test automation tools can mitigate these issues.
Tags: AI Testing, Artificial Intelligence, Automation Testing, Manual Testing, Software Testing, Test Automation
Leave a Reply