Can ChatGPT replace QA SDET ? End Of All Manual Testing Jobs in 2023 ? OpenAI Chatbot GPT vs Tester

Introduction

In recent weeks, a new tool called ChatGPT has been making headlines, capturing the curiosity and attention of professionals across various sectors, particularly within software testing. Known for its capabilities as an AI chatbot, this generative pre-trained transformer (GPT) by OpenAI has been trained on extensive datasets, allowing it to produce a variety of outputs, from simple text responses to complex programming code.

Let's explore its uses, abilities, and potential implications for both manual and automation testing roles, alongside its shortcomings.

Manual Testing: Generating Test Cases with ChatGPT

One of the primary functionalities of ChatGPT lies in its ability to assist in manual testing. For example, when prompted to generate test cases for a lift, the AI provides several relevant and detailed scenarios. Examples include:

• The lift should not move if the door is open.
• It should correctly stop at the designated floor.

The sheer variety and coverage offered by ChatGPT in its responses can save testers a considerable amount of time compared to traditional search engines like Google.

Similarly, when tasked with generating test cases for a login window application, ChatGPT provides a comprehensive list of standard test cases, making it a useful tool for testers looking to validate authentication functionalities.

Automation Testing: Learning and Coding Assistance

Shifting the focus from manual to automation, ChatGPT exhibits similar capabilities in offering guidance for those eager to learn automation testing:

1. Familiarizing oneself with basic programming languages.
2. Joining online communities for support.
3. Staying updated with industry trends and developments.

In terms of coding, asking ChatGPT for Selenium code to open Flipkart demonstrates its utility. It not only generates the code but also provides explanations, making it ideal for beginners and seasoned testers alike.

Moreover, ChatGPT can generate code snippets in different programming languages, like JavaScript, which can be invaluable for testers who are accustomed to Java but are required to pivot to newer frameworks.

Limitations of ChatGPT in Testing

Despite its impressive capabilities, it is crucial to acknowledge the limitations of ChatGPT. For instance, when attempting to generate test cases based on a known outline of an organization’s tests, it falls short. The AI's inability to generate context-specific test cases emphasizes that it cannot fully replace QA Engineers.

While ChatGPT can streamline and aid various testing tasks, human intervention remains necessary for tasks that require an understanding of specific organizational needs or more nuanced testing scenarios.

Conclusion

Overall, the advent of ChatGPT as a tool for QA and SDET roles promises to enhance the efficiency of testing procedures, potentially reshaping the landscape of software testing. However, we remain cautious about the claim that it will completely replace manual or automation testing jobs.

As technology continues to evolve, it’s predicted that the role of human testers will adapt rather than diminish, blending traditional skills with innovative AI tools.

Got questions? Let’s discuss in the comments about your views on this powerful tool and its implications for the future of QA testing.

Keyword

• ChatGPT
• QA SDET
• Manual Testing
• Automation Testing
• Generative Pre-trained Transformer
• Test Cases
• Selenium
• Code Generation
• AI Tools

FAQ

Q: What is ChatGPT?
A: ChatGPT is an AI tool developed by OpenAI that generates text and code using machine learning and extensive data training.

Q: Can ChatGPT replace manual testers?
A: While ChatGPT can assist in producing test cases and providing guidance, it cannot fully replace manual testers due to the need for contextual understanding and nuanced decision-making.

Q: How can ChatGPT help in automation testing?
A: ChatGPT can offer insights on learning automation testing, suggest relevant resources, and generate code in various programming languages, aiding testers in their tasks.

Q: What are the limitations of ChatGPT in software testing?
A: ChatGPT may struggle to create context-specific test cases and cannot replace the critical thinking and understanding required from human testers in many situations.

Q: Is ChatGPT useful for learning programming?
A: Yes, ChatGPT can guide beginners in programming concepts, suggest resources, and even generate code snippets, making it a useful tool for learning.