ChatGPT and Automation Testing: The Perfect Duo for Seamless Test Execution

ChatGPT reached 1 million users within just 5 days of launch, breaking all internet records. A conversational AI that can answer all natural language-based questions, write code, create social media posts, write long-form articles, and do a lot of amazing things.

 The main goal of this platform is to make life easier for mobile and web users. However, the question is how to use this amazing AI-based platform to help mobile and web app testers. And most importantly, how ChatGPT can help with automated testing.

What is ChatGPT?

ChatGPT is a large-scale language model developed by OpenAI. It is part of the GPT (Generative Pre-trained Transformer) model family, specifically the GPT-3.5 architecture, and is designed to generate human-like text based on specific commands or inputs.

Its main purpose is to engage in conversation with users, answer their questions and provide useful information. The platform is trained with large volumes of text from the Internet so that the software can understand a wide range of topics and provide informative answers.

ChatGPT and Automated Testing

The ChatGPT AI language model does not directly contribute to software development or automated testing. As a model language for human interaction, ChatGPT can be used to generate automated testing data and test cases.

Additionally, ChatGPT provides information and insight into testing best practices and techniques and helps with documentation and communication within the testing team.

Using ChatGPT, you can automate regression testing, integration testing, and performance testing. For example, ChatGPT tests the performance of web applications by simulating user interactions and ensuring that the application responds correctly to various inputs.

But providing the correct-looking code is just the beginning. Ideally, ChatGPT will provide the tests it generates, share all the details about your website version, and expect it to generate complete executable code that doesn’t need to be modified. ChatGPT can’t do that right now, but there’s still a lot it can do.

Can ChatGPT generate code to use in automated testing?

As an artificial intelligence language model, ChatGPT can generate code for various tasks.

Imagine you’re a software developer who just finished building a new feature for your app and you want to make sure it works as expected. Instead of manual performance testing, you can use automated testing to automate the process and run tests repeatedly to find bugs and issues before moving to production.

This is where ChatGPT comes in. Our expertise in natural language processing and machine learning allows us to generate test code that covers a wide range of scenarios and inputs, so you can be confident that your software will work as intended. Whether you need a unit, integration, or end-to-end testing, we can produce code that meets your needs and specifications.

Below are some examples of using ChatGPT in automated testing.

• Automated test scenarios

• Build complex test automation pipelines using CI/CD

• Use microservices to test any application

• Detailed instructions for using the generated code make it easy to decode the code. Since ChatGPT is a low-code tool, you can use the Cucumber testing framework (which is based on BDD behavior-driven development) to get your code.

Improved Software Testing with ChatGPT

Here are some common QA activities that ChatGPT can perform:

As an AI language modeler, I can offer a few suggestions on how to improve software testing.

Create test cases:

ChatGPT helps you create software test cases based on your given specifications. By entering requirements into the system, you can create test cases to ensure that your software meets these requirements.

Test data generation:

ChatGPT is also useful for generating test data for software. By providing input parameters and expected outputs of the system, ChatGPT can generate the data necessary to test the performance of the software.

Exploratory testing:

ChatGPT can help you perform exploratory testing, an unscripted testing method. ChatGPT helps testers investigate software performance and identify defects using natural language processing capabilities.

Automation testing:

ChatGPT also helps automate the testing process. Use machine learning capabilities to learn from your manual testing activities and generate automated test scripts that you can use to continuously test your software.

Bug prediction:

ChatGPT also helps predict potential software bugs. Analysis of code and test data provides insight into potential areas of failure so testers can focus their efforts on those areas.

Disadvantages of ChatGPT for automated testing

In a very limited amount of time, ChatGPT has shown great potential in terms of low-code tools for automated testing. Despite its advantages, ChatGPT has the following limitations:

• The platform itself does not implement the code of the application under test. Therefore, the tool cannot determine whether the generated code is accessible or not.
• ChatGPT cannot detect how it has been ignored. Also, there is no effective way to fix the problem.
• ChatGPT generally uses a common page structure in the generated code. Therefore, the user must select the topic to request the updated version of the code.

Despite these limitations, ChatGPT has great potential as a low-code solution for automated testing. However, QA testers must have a thorough understanding of the programming language used and the application under test before using this AI model.

Can ChatGPT help with test automation?

ChatGPT helps with test automation. As a model language, it can provide guidance and suggestions on test automation strategies, tools, and best practices.

Here’s how ChatGPT can help you automate your testing.

Test automation plan:

ChatGPT helps test automation planning by providing recommendations on which tests are suitable for automation, identifying potential automation frameworks, and suggesting ways to integrate automation into the development process.

Testing automation tools:

ChatGPT can help you choose the right test automation tool based on your project needs, compare different tools, and provide advice on how to effectively evaluate the tools.

Test Automation Framework:

ChatGPT can recommend popular test automation frameworks and advise you on the best frameworks to use for your specific project.

Test Automation Best Practices:

ChatGPT helps provide test automation best practices such as creating maintainable test scripts, managing test data, and managing shell tests.

Troubleshooting:

ChatGPT helps identify and troubleshoot problems in test automation scripts, such as debugging failed tests and identifying test execution bottlenecks.

Also Read: Everything You Need To Know About Cucumber Testing

Conclusion

As a code generation tool, ChatGPT is a fairly powerful tool for natural language generation. The ChatGPT algorithm is new to the market, so it may take some time to fully mature. It cannot be fully relied upon to run automated tests. Furthermore, the test cases written in ChatGPT cannot be considered 100% correct.

In summary, ChatGPT is useful for test automation efforts, but not mature enough to replace AI-based test automation.

When it comes to QA, nothing is better than having the correct people in charge. That’s why we make sure that everyone on our team is qualified and accredited on some of the industry’s best practices. 

At TestUnity we have an expert team of QA Engineers. This enables us to give our clients the support they require to make sure that their software hits the market in the right circumstances. Contact us for a free consultation and see why TestUnity’s QA approach is the best choice for your software.

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