Advanced Features In Automatic Chat Using ChatGPT

Advanced Features In Automatic Chat Using ChatGPT

You've probably heard of ChatGPT, the latest advance in natural language processing. In just five days, he has gathered more than a million people and is trying to conquer the Internet. Despite the fact that a free robot with artificial intelligence has only been around for a few weeks, it is quickly becoming more and more famous.

This is because he can give clear answers and explanations, as well as do complex things, such as writing an article or telling a joke. ChatGPT helps web and mobile workers automate testing because it can write test scripts in different platforms and languages. Let's think about what might happen.

What exactly is ChatGPT?

ChatGPT was created by OpenAI. This is a great language model. It has been enhanced with guided learning or reinforcement learning on large datasets. ChatGPT scans the data and uses algorithms to find trends that show how words are used in real language and context. This is a conversation template, so it is intended to be used as a direct discussion. 

You can tell ChatGPT to say whatever you want if it's not rude. ChatGPT can give original answers on the topic as well, and it usually tells you why it gave a certain answer. He can also remember what he has already said and continue logical discussions. People asked ChatGPT to do everything from writing folk songs about beer to answering questions about the science of mud.

ChatGPT and automated testing

An interesting feature of ChatGPT for people working with software is that it can display the proposed code based on a simple query in natural language. He can write code in many different languages, while using a wide range of tools built into these languages.

So, the obvious question is whether ChatGPT can be used to generate code for automated testing. ChatGPT can write better automation code than me. Nikolay Advolodkin from Sauce Labs demonstrated that ChatGPT can compose Selenium code in several languages.

But it's not enough just to be able to write code that works. In an ideal world, you could tell ChatGPT which tests to run, and it would know everything about the version of the website you are testing and would provide you with perfect, user-friendly code that does not require any changes.

ChatGPT currently cannot do this. However, everything he can do is pretty cool. Let's explain how you can use ChatGPT as a new low-level coding method, and not as a tester replacement.

What exactly is a low-level code test?

Low-code development allows people to write code even if they've never done it before or haven't done it much. They can do this in plain English or in systems with drag and drop tools. Testing options with a low code level contribute to the growth of development teams, making it easier to write test code.

Organizations can start writing automated test code with weak code faster because people without technical skills can write tests. This reduces the trial debt. ChatGPT is a powerful tool that can be used to create test cases that don't require a lot of work or code.

ChatGPT uses natural language, which means that people can write the way they like, being heard. On the other hand, template-based templates usually depend on certain grammar patterns or keywords. As we will show, ChatGPT creates excellent scripts, classes and methods for automating testing.

Low-Code Languages: Cucumber

ChatGPT can create many languages and tools, but creating Cucumber code is the best it can do. Behavioral programming is used by the Cucumber testing tool. Feature film scripts are written in plain English with words like "given", "when" and "then" as keywords.

These common language words are then linked to the code in the step definitions.

Cucumber simplifies the tracking of tests, because in its scripts, the description of the test in the usual language is combined with the automated code that     executes  it.

This makes it easier for testers who don't know much about the test code to understand how the purpose of the test is related to the test code that is written in a common language. This shows the power of ChatGPT: it can start creating code that looks like a regular language.

Test example of ChatGPT and cucumber

The following case shows how good ChatGPT is at writing code. Cucumber can perform both tasks and describe the steps simultaneously with a simple query. You don't need to tell him what a cucumber should do to move around on its own.

Even if the request does not specify what to test on the website, ChatGPT creates a script to test the search function, which is the most important part of the Google website. In this case, the letter " q" in the Google search form is correct.

Easy to use basic script

ChatGPT can usually write code, but not all websites are as famous as Google. Even if he was right about the “q", it doesn't mean that he will always be right. And we know by checking ChatGPT that he will come up with it if he doesn't find the element.

Finding and changing all the element pointers in the created code requires a lot of work, but the problem can be solved much easier by separating the code of the about page from the code in test scenarios. When we use the page object model, we can change the code if the application layout or component locators change between tests.

This makes it easier to update the test script. In the following example, we perform a General test for a website login page using Cucumber and Python and instruct ChatGPT to use the page object model and class variables to search for elements.

The LoginPage object was created with the correct name using ChatGPT. The object handles common login page tasks, such as adding a user name, and the element search tools are displayed as class variables.At the end of the example, the step descriptions show how to log in to the website using the methods specified on the login page. The user can use ChatGPT to do this automatically, or manually create cases for testing the website and get a working test code!

Editing and correcting code using ChatGPT

When you carefully study the code for this step, you will see that all the values of the test input, such as URL, login and password, are hard-coded. It is unlikely that the website you are viewing is “http://www.example.com/login "and that “username“ and ”password" will work as your login details.

And these numbers don't need to be hard-coded; cucumber can get variables from the function image and use them in registers. But what if you don't know how to style it, or don't want to change the code everywhere

You can fix this with ChatGPT. We can solve the problem by asking ChatGPT to continue modifying the code he wrote.

Instead of hard-coding the results, which are probably false, the new step methods read the numbers we requested. One of the best features of ChatGPT is that you can tell the system exactly what you want to change in the code, since the template is a chat. He is very good at listening and doing what you ask.

Conclusion

ChatGPT is a very strong natural language model with a lot of promises. It has a lot of promise and will probably be the best low-level code testing option to solve many problems. This can help with testing, but to use ChatGPT, you need to know a lot about the language and the application being tested. But we shouldn't have too many questions. ChatGPT is a great way to turn ordinary words into code, which was previously impossible with other templates.

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