30+ Best AI/ChatGPT Prompts for Software Testing

Harish Rajora

Posted On: February 12, 2025

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Software testing is constantly evolving, with new tools and techniques reshaping how QA teams work. Over the years, automation has played a big role in speeding up testing processes and improving accuracy.

Now, with the rise of AI tools like ChatGPT, testers have even more ways to automate tasks, generate ideas, and overcome challenges. One of the best ways to do this is the form of prompts. QA teams can use these AI/ChatGPT prompts for software testing to enhance their efficiency and productivity.

In this blog, we will explore the best AI/ChatGPT prompts for software testing.

TABLE OF CONTENTS

Role of AI/ChatGPT in Software Testing

AI tools, like ChatGPT, are gradually transforming software testing. Earlier, testers would manually write test cases or test scripts, run them, and look for defects. However, AI is automating these tasks to make this process more efficient.

For example, if you want to use ChatGPT for test automation, it can help you with generating test scenarios, test cases, and test scripts. ChatGPT also detects potential issues and even suggests fixes to resolve those.

It can also analyze large datasets to identify areas of the software where issues are likely to occur. In addition, ChatGPT also improves its response generation by learning from previous testing cycles.

However, all of the above aspects rely on prompts, which play a key role in making AI tools like ChatGPT more useful in software testing. ChatGPT prompts allow you to provide clear and specific instructions that guide AI to automate various aspects of the testing process.

Top AI/ChatGPT Prompts for Software Testing

The following are some of the best AI/ChatGPT prompts for making software testing even more effective while remaining productive.

Understand a Software Testing Concept

Purpose: To understand the theoretical meaning of a concept or terminology along with examples.

Prompt: What does <concept name> mean in software testing? Can you also share real-life use cases and examples?

Define Functional Requirements for the Web Application

Purpose: To define and list functional requirements for a web application.

Prompt: I want to build a simple web application that provides the cheapest price for an item on three websites: Amazon, Walmart, and eBay. Can you list down all the functional requirements needed for my web application?

Get the Timeline for the Project Requirements

Purpose: To get a rough idea about the timeline based on the project type, requirements, etc.

Prompt: How much time will it take to generate test cases and suites if my project is <project specifications>?

Create a Test Strategy Based on Skills

Purpose: To generate a test strategy based on the current skills of the team.

Prompt: My team knows <skills>. What should be the best strategy I should follow for testing <application type>?

Generate Test Cases

Purpose: To create test cases based on the defined requirements.

Prompt: Can you generate test cases based on <write requirement specifications>? Also, include positive, negative, and edge scenarios.

When it comes to test case generation, it’s also essential to maintain and manage them regularly. In such cases, you can leverage cloud-based platforms like LambdaTest which comes with a built-in AI-powered Test Manager where you can manage your test cases easily.

It provides automatic test case creation, both manually and using AI, test management, triggering, and reporting in one place. In addition, LambdaTest Test Manager lets you generate tests using the generated test cases with its AI-native test agent, KaneAI.

KaneAI by LambdaTest is an AI-native QA Agent-as-a-Service platform for high-speed quality engineering teams. It allows you to create, evolve and debug tests using natural language. You can also integrate KaneAI with the rest of LambdaTest’s offerings for test orchestration, execution and analysis.

Prioritize Test Cases for Execution

Purpose: To prioritize test cases so that high-priority test cases can be executed first.

Prompt: Prioritize the following test cases so that high-priority cases are listed first.

<Test cases>

Generate Risks Based on Current Testing Specifications

Purpose: To generate risk factors associated with a specific specification to be used for testing.

Prompt: What are the risks of testing a web application on <browser name> browser using <tool name>?

Generate a Test Scenario

Purpose: To generate a test scenario on the pretext of the application’s intent.

Prompt: Generate a test scenario for an application that <intent>.

Generate the Use Case for a Test Scenario

Purpose: To generate a use case for a certain test scenario.

Prompt: Write a use case for a person adding an item to a cart and making a purchase using a credit card.

Generate the Test Data

Purpose: To generate a test data set to validate a certain functionality.

Prompt: Can you generate a test data set for <number of input fields> input fields <field names separated by “and”> to test the <functionality name> functionality? <Define any particular restrictive conditions if they exist>

Identify the Gaps in Test Coverage

Purpose: To understand the gaps in the test coverage to achieve maximum test coverage.

Prompt: I want to test the <functionality name> functionality of my web application. Are the following test cases/scenarios enough for 100% test coverage?

<Test cases or test scenarios>

Recommend a Test Automation Framework

Purpose: To know the most suitable test automation framework based on the skill set of the team.

Prompt: Which framework should the team use if <percentage> knows Java, <percentage> knows Python, and all are skilled in <tool or framework>?

Generate Prerequisites for a Testing Tool/Framework

Purpose: To understand the prerequisites required for working on a testing framework or tool.

Prompt: I am planning to start testing using <framework_name>. What are the prerequisites required?

Compare Automation Testing Tools Using Specific Parameters

Purpose: To get a calculated answer when confused between multiple automation testing tools based on a specific judging parameter.

Prompt: <Tool 1> or <Tool 2>? Which one would be more helpful for mobile app testing for <parameter>.

Generate the Test Script for a Specific Requirement

Purpose: To generate the test script for a specific requirement.

Prompt: Generate a test script in <framework> and <programming language> to test <functionality>.

Understand the Functionality of the Test Script

Purpose: To understand the functionality of the test script in the plain language originally written using any programming language or testing framework.

Prompt: What does the following test script do?

Get the Correct Syntax for a Testing Tool/Framework

Purpose: To get the correct syntax of any functionality for any testing tool/framework and programming language.

Prompt: What is the correct syntax to use <functionality> in <tool or framework> in <programming language> language?

Generate Comments for the Test Script

Purpose: To generate comments for an existing test script to enhance readability.

Prompt: Generate comments for the following test script:

<Test script>

Optimize the Existing Test Script

Purpose: To optimize the existing test script with the aim of making it more efficient or if any other perspective can be achieved apart from what the tester had thought. For instance, getting structural suggestions, future-proofing, or how to make the code clean.

Prompt: Can you optimize and enhance the efficiency of the test script given below?

Generate Steps to Follow for the Testing Tool/Framework

Purpose: To understand how to work with a testing framework or tool unknown to the tester (probably with steps).

Prompt: I don’t know anything about <testing framework name or tool>. How to start working with it? Give me a step-by-step guide to follow.

Analyze and Suggest Fixes to Resolve an Issue

Purpose: To understand an issue and how to resolve it.

Prompt: What does this error mean and how to fix it?

TestNG, by default, disables loading DTD from unsecured URLs.

Get Suggestions for Fixing Code Errors

Purpose: To get suggestions for fixing the code that raises errors during test execution.

Prompt: How do I fix the following code that asserts the title of a page in Selenium?

<Test script>

Convert Test Scripts From One Programming Language to Another

Purpose: To convert the test script from one programming language into another language. It is commonly used when testers are migrating from one testing tool/framework to another.

Prompt: Can you convert the test script from <language> to <language> for <tool or framework>?

<Test script>

Info Note

Generate test cases with AI-powered Test Manager. Try LambdaTest Today!

Act as an Interpreter to Code Execution Without IDE

Purpose: To act as an interpreter to execute a code without using any IDE.

Prompt: Act as a <programming language name> interpreter.

Once the AI/ChatGPT prompt is executed, provide the code, and the ChatGPT will execute it. If the tester wishes to get the execution without any explanation, they can mention that in the prompt as well.

Get the Best Practices for Efficient Testing

Purpose: To familiarize with the best practices for a certain condition so that the tester can conduct the process smoothly and efficiently.

Prompt: What are the best practices for <condition>?

Identify Usability Testing Issues

Purpose: To identify usability issues in an application’s user interface.

Prompt: Here is a screenshot of our application’s user interface (upload the screenshot). Can you point out any usability issues?

Identify Redundant Regression Test Cases

Purpose: To identify redundant or obsolete regression test cases.

Prompt: Here are our current regression test cases. Can you identify if there are any redundant test cases?

<Regression test cases>

Analyze Performance Testing Results

Purpose: To analyze performance testing scenarios and suggest improvements.

Prompt: Given this anticipated user load {[Insert User Load]}, what performance testing scenarios would you suggest?

Predict Potential Issues Based on Past Data

Purpose: To predict potential issues areas based on historical data.

Prompt: Based on the past data of similar projects, can you predict potential issues in the testing lifecycle?

<Past data>

Set Up CI/CD Pipelines Based on Technology Stack

Purpose: To set up a CI/CD pipeline based on the existing technology stack.

Prompt: Can you provide step-by-step instructions to set up a CI/CD pipeline for this technology stack?

<Technology stacks>

Create a Bug Report

Purpose: To structure and document bug details in a comprehensive report.

Prompt: Can you create a well-structured bug report for this bug?

<Bug descriptions>

Best Practices for Using AI/ChatGPT Prompts for Software Testing

To efficiently leverage AI/ChatGPT prompts for software testing, it’s necessary to follow some of the best practices:

  • Provide enough context about your query. For example, instead of vague prompts like “generate test data for login,” be specific: “generate test data for a login functionality with three mandatory fields, where one field requires alphanumeric input and a special character.”
  • Keep your prompts concise and meaningful, and avoid unnecessary words that may confuse the AI and result in inaccurate or misinterpreted responses.
  • Avoid copying the ChatGPT response directly into your environment without reviewing or adapting it. The AI may not be aware of your system’s context, such as variables or dependencies. Instead, use the outputs as guidance.
  • Split complex queries into separate prompts. Combining them can confuse the AI and produce ambiguous or lower-quality responses.
  • For consecutive prompts, ensure the AI retains the intended context by reiterating key details. Unlike humans, AI may treat follow-ups as standalone queries, leading to inconsistent outputs.

Conclusion

Using AI/ChatGPT prompts for software testing has the potential to expedite your process. It helps testers automate different aspects of the testing process, leading to more efficient and effective results.

As the landscape of software development continues to evolve, leveraging AI/ChatGPT prompts for software testing will be key to staying ahead in delivering reliable and high-performing software applications.

Frequently Asked Questions (FAQs)

Can ChatGPT write test cases?

Yes, ChatGPT can write test cases in any language and framework.

How can QA use ChatGPT?

ChatGPT can be used by QA in many ways, from simple queries like learning about a concept in testing to generating complete test cases with comments. The AI/ChatGPT prompts for testing discussed in this post explore the vast opportunities QA has with AI tools.

How to use ChatGPT for software testing?

You can use ChatGPT for software testing by generating test cases, generating or suggesting improvements in test scripts, and helping with debugging issues. It can also help automate tasks like code review and validating API responses. Additionally, ChatGPT can provide insights on testing strategies, frameworks, and tools to enhance your testing process.

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Harish Rajora

I am a computer science engineer. I love to keep growing as the technological world grows. I feel there is no powerful tool than a computer to change the world in any way. Apart from my field of study, I like reading books a lot and write sometimes on https://www.themeaninglesslife.com .

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