Supercharge Manual Testing with ChatGPT

Table of Contents

1. Introduction
2. Understanding Chat GPT
3. How Chat GPT is Used for Manual Test Scenarios
4. The Benefits of Using Chat GPT for Manual Test Scenarios
5. The Challenges of Using Chat GPT for Manual Test Scenarios
6. Writing Manual Test Scenarios with Chat GPT
   1. Defining the Scenario
   2. Including User Journey
   3. Breaking Down Each Scenario
   4. Including Positive and Negative Scenarios
   5. Using Tables for Data
7. Enhancing Manual Test Scenarios with Chat GPT+
8. Case Study: Writing a Complex Banking Transaction Scenario
   1. Opening an Account
   2. Age Verification
   3. User Identity Verification
   4. Online Account Opening via Computer
   5. Opening Accounts in the Kiosk
   6. Opening an Account by Telephone Banking
   7. Opening an Account via Online Banking
   8. Opening an Account via Mobile Application
9. Limitations and Considerations
10. Conclusion

Using Chat GPT for Manual Test Scenarios

Chat GPT is an AI-powered tool that can be effectively utilized to write manual test scenarios. In the field of software testing, manual test scenarios play a crucial role in ensuring the quality and functionality of an application. Traditionally, these scenarios have been written by human testers, but with the advancements in AI technology, Chat GPT offers a new approach to this process.

Understanding Chat GPT

Chat GPT is a language model developed by OpenAI that is trained to generate human-like text Based on the input it receives. It uses the GPT-3 architecture and can understand and respond to natural language Prompts. Chat GPT has been used in various applications, including chatbots, content generation, and now, manual test scenario writing.

How Chat GPT is Used for Manual Test Scenarios

By leveraging the capabilities of Chat GPT, manual test scenario writing can be made more efficient and automated. Instead of having human testers manually think of various scenarios and write them down, Chat GPT can be given a set of requirements and asked to generate the corresponding test scenarios. This allows testers to focus more on analyzing the scenarios and performing the actual testing, rather than spending time on the repetitive task of scenario creation.

The Benefits of Using Chat GPT for Manual Test Scenarios

Using Chat GPT for manual test scenario writing offers several advantages:

1. Time-saving: Chat GPT can quickly generate a large number of test scenarios, reducing the time and effort required from human testers.
2. Consistency: Chat GPT follows a predefined set of rules and criteria, ensuring consistency in scenario creation.
3. Quick feedback: Testers can receive Instant feedback on the generated scenarios and iterate on them as needed.
4. Enhanced coverage: Chat GPT can generate scenarios that cover a wide range of possible test cases, including positive and negative scenarios, edge cases, and combinations of inputs.
5. Expanded creativity: Chat GPT's AI capabilities can generate scenarios that human testers may not have considered, leading to a more comprehensive test coverage.

The Challenges of Using Chat GPT for Manual Test Scenarios

While Chat GPT offers numerous benefits, there are also some challenges to consider:

1. Accuracy: Chat GPT's responses may not always be 100% accurate or aligned with the desired test scenarios. Human review and validation are necessary to ensure the generated scenarios meet the requirements.
2. Lack of Context: Chat GPT might not fully understand the context or domain-specific nuances, leading to potential inaccuracies or inappropriate scenarios.
3. Linguistic limitations: Chat GPT is an English language model and may face difficulties in generating scenarios for languages other than English.
4. Limited domain knowledge: Chat GPT's knowledge is based on the training data it has received. It might not be aware of specific domain-specific rules or constraints, requiring human intervention to provide guidance.

Writing Manual Test Scenarios with Chat GPT

When utilizing Chat GPT for manual test scenario writing, certain steps can be followed to ensure the desired scenarios are generated accurately:

1. Defining the Scenario

Clearly define the scenario that needs to be tested and provide any Relevant information or constraints that Chat GPT needs to consider.

2. Including User Journey

Include the user journey in the generated scenarios to provide a realistic context for the testers. This can help testers understand how the scenario would play out in real-time.

3. Breaking Down Each Scenario

Break down the scenario into smaller steps or actions, making it easier for testers to follow and execute the test steps.

4. Including Positive and Negative Scenarios

Ensure that both positive and negative scenarios are generated by Chat GPT. This covers a wide range of test cases and helps identify any potential limitations or issues in the application.

5. Using Tables for Data

If the scenario requires specific data inputs, consider using tables to clearly define the required data or combinations of data that need to be supplied during testing.

Case Study: Writing a Complex Banking Transaction Scenario

Let's explore a case study to better understand how Chat GPT can be used to write a complex banking transaction scenario. In this scenario, we will focus on the process of opening a bank account with specific criteria and conditions.

1. Opening an Account

• User age verification
• User identity verification
• Opening the account online via computer
• Opening the account in a kiosk
• Opening the account through telephone banking
• Opening the account via online banking application (Android/iOS)

2. Age Verification

• User enters their date of birth
• System verifies if the user is above 18 years old
• System displays a message if the user is below 18 years old

3. User Identity Verification

• User provides required documents (e.g., Aadhar card, passport, driving license)
• User must have a combination of specific documents
• System verifies the user's identity based on the provided documents
• Negative scenarios: User without a valid document, user with invalid date format

4. Online Account Opening via Computer

• Opening the account through different browser and operating system combinations (e.g., Chrome on Windows 10, Firefox on Windows 7)
• System validates the supported browser and operating system combinations
• Negative scenarios: Unsupported browsers (e.g., Opera, Edge, Brave)

5. Opening Accounts in the Kiosk

• Opening the account at select metro areas
• System validates the availability of the kiosk in the user's location
• Negative scenarios: Kiosk not available in rural areas

6. Opening an Account by Telephone Banking

• User provides a continuation number if the previous online account opening fails
• System prompts the user with a continuation number to open the account through branch banking

7. Opening an Account via Online Banking

• User accepts the terms and conditions of online banking
• System verifies the acceptance of terms and conditions
• Negative scenario: Splash screen not visible in iOS app

8. Opening an Account via Mobile Application

• Opening the account through the mobile application (Android/iOS)
• System validates the supported mobile operating systems and their versions
• Negative scenarios: Unsupported mobile operating systems

Limitations and Considerations

It's essential to consider the limitations and potential challenges when using Chat GPT for manual test scenario writing:

1. Accuracy and Reliability: Chat GPT's responses may not always be accurate or aligned with the desired scenarios, requiring human intervention for review and validation.
2. Domain-Specific Knowledge: Chat GPT may lack domain-specific knowledge, especially in highly specialized industries. Testers may need to provide additional guidance and context to ensure accurate scenarios.
3. Complex Scenarios: Chat GPT may struggle with more complex scenarios that involve intricate business rules or dependencies. Human testers should be involved in defining and reviewing these scenarios.
4. Continual Training and Improvement: Chat GPT models need to be continuously updated and trained with new data to improve their performance and understand new Patterns and requirements.

Conclusion

Incorporating Chat GPT into the manual test scenario writing process can bring numerous benefits, such as time savings, increased coverage, and enhanced creativity in scenario generation. However, it is crucial to consider the limitations and challenges associated with AI-powered tools. Human involvement and expertise remain essential to validate and refine the generated scenarios, ensuring their accuracy and relevance in real-world testing. The marriage of human intelligence and AI systems like Chat GPT allows for a more efficient and effective approach to manual test scenario writing and testing as a whole.

Highlights:

• Chat GPT can automate manual test scenario writing, saving time and improving coverage.
• Chat GPT can generate positive and negative test scenarios, enhancing testing capabilities.
• Human review is necessary to ensure accuracy and Align the generated scenarios with requirements.
• Chat GPT can be used to write complex banking transaction scenarios, covering various scenarios and conditions.

FAQ:

Q: Can Chat GPT replace the need for human testers in writing manual test scenarios? A: No, Chat GPT cannot fully replace human testers as it may lack domain-specific knowledge and context. Human involvement and expertise are still crucial for validating and refining the generated scenarios.

Q: Can Chat GPT generate scenarios in languages other than English? A: Chat GPT is primarily trained on English language data, and its performance in other languages may vary. It's recommended to use it for English scenarios or consider language-specific models for other languages.

Q: How can testers ensure the accuracy of scenarios generated by Chat GPT? A: Testers should review and validate the scenarios generated by Chat GPT to ensure they align with the desired requirements. Human intervention is necessary to detect and correct any inaccuracies or inappropriate scenarios.

Q: Can Chat GPT handle complex scenarios with intricate business rules? A: While Chat GPT can generate complex scenarios, it may struggle with intricate business rules and dependencies. Human testers should be involved to define and review these complex scenarios for accuracy and relevance.