At Agami Technologies, we use AI, especially ChatGPT, to make software testing faster, more efficient, and more accurate. Software testing often faces problems like slow test case creation, missed bugs, and human mistakes. By using AI-powered tools like ChatGPT, we’ve been able to overcome these challenges, simplify our processes, and deliver high-quality software on time. Here’s how we’re revolutionizing quality assurance (QA) with AI-assisted testing.
Key Challenges in Software Testing & Agami’s AI-Powered Solutions
To address these challenges, Agami has welcomed AI-driven software testing using ChatGPT. By automating key aspects of the testing process, we’re able to significantly improve efficiency, enhance accuracy, and meet project deadlines. Here’s how:
1. Time-Consuming Test Case Generation:
Creating test cases manually is a time-consuming process, especially for large applications. Testers often need to continuously update test cases as the software develops. This can delay the testing process and increase the chance of missing bugs. Example: Sarah is a tester working on a mobile app, and she is testing the sign-up and sign-in processes. She needs to create hundreds of test cases, which could take weeks. As the app keeps changing, Sarah must constantly update the test cases, making her work harder and slower.
At Agami, to speed up the test case creation process, we use ChatGPT to automate the generation of test cases. ChatGPT analyzes the software’s features and automatically creates test cases, saving time and reducing the risk of human mistakes. Example: Same as Sarah, a QA engineer, needs to test a SaaS platform’s sign-up and login features. Instead of manually writing test cases, Sarah inputs the details about the login process into ChatGPT, which instantly generates test cases like:
- Signup Tests: Valid email and password, weak password prevention, etc.
- Login Tests: Correct credentials, incorrect password prevention, account lockout after failed attempts. This automation helps Sarah quickly cover all possible scenarios, ensuring that no critical issues are overlooked.
2. Limited Test Coverage: With limited time and resources, it’s often difficult to test every possible scenario in a software application. Some critical areas, such as cross-browser compatibility might get missed, leading to hidden bugs.
Example: John is testing a website but only has time to check the basic features like logging in and updating the profile. He doesn’t have time to test the website on different devices or browsers, leaving some bugs unseen.
At Agami Technologies using ChatGPT helps expand test coverage by identifying additional scenarios that manual testers might miss. It suggests advantage cases, like testing the software on different devices or with exceptional data inputs, ensuring that all possible scenarios are covered.
For Example:-John decides to use ChatGPT to assist with his testing process. He describes the website and shares the testing requirements, including the need to check compatibility across devices and browsers. ChatGPT generates a structured test plan that includes step-by-step actions to identify common bugs in different scenarios. For example:
- Login Feature: ChatGPT suggests testing for invalid credentials, session timeouts, and password reset functionality.
- Device Compatibility: ChatGPT lists tools that John can use to simulate testing on different devices like iPhones, Android phones, tablets, and desktops.
- Browser Compatibility: It highlights key browsers (Chrome, Safari, Firefox, Edge) and provides commands to quickly test responsiveness.
3. Human Error in Manual Testing: Manual testing involves duplicative tasks, making it prone to human error. Testers might skip steps or forget to document issues, leading to inconsistent results and missed bugs. Example: Ravi is testing a basic CRUD (Create, Read, Update, Delete) form on a website. He needs to check various fields like name, email, and phone number to ensure they work properly. However, since the process is repetitive, Ravi sometimes forgets to test critical edge cases, such as validating the format of the email or ensuring that the “Delete” function removes the data from the system. These directions can lead to bugs slipping through and the form not working correctly for all users.
We use ChatGPT At Agami to help during manual testing by providing step-by-step reminders and verifying the expected outcomes. This reduces human error by helping testers stay on track and ensuring that all actions are completed correctly.
Example: Ravi is testing the same CRUD form. As he moves through the different functionalities creating, reading, updating, and deleting contact details ChatGPT helps him by reminding him to check important validations, such as confirming that invalid emails aren’t submitted or ensuring that deleted records are completely removed from the system. ChatGPT also verifies that the system behaves as expected at every step, reducing the chances of skipping a critical test case and improving the overall accuracy of the testing process.
4. Constant Updates in Agile Development:
In agile development, software is updated all the time, so test cases need to be updated too. This can be tough for testers because they have to keep changing the test cases to match the new updates. If they miss something, it can lead to problems like important areas being left out of testing or delays in getting the software ready. Imagine Alex, a tester at a company that’s developing a job application platform. The platform is updated regularly with new features, like adding new job categories or improving the application submission process. Every time there’s an update, Alex has to revise and re-test the test cases to make sure everything works. But with so many updates coming in, it becomes hard for Alex to keep the test cases up to date.
At Agami Technologies, we use ChatGPT to make testing in agile development faster and easier. To automate some of the testing work and keep things up-to-date. ChatGPT can help by quickly generating new test cases whenever there’s a new feature or change in the platform. Instead of Alex having to rewrite everything manually, ChatGPT can create or update the test cases based on the new changes, saving time and effort. ChatGPT can also check the existing test cases to make sure they still cover all the important areas after updates, so Alex doesn’t miss anything important.
For example:- Whenever a new feature was added, Alex asked ChatGPT to help create or update the test cases automatically. ChatGPT could quickly generate the necessary test cases to check that everything worked. ChatGPT also helped Alex review old test cases, making sure they still covered all the important things after the update. This way, Alex didn’t have to worry about missing anything, and the testing process became much faster and smoother.
Conclusion
AI-assisted software testing with ChatGPT has transformed our approach to quality assurance at Agami Technologies. By addressing common challenges such as time-consuming test case creation, limited test coverage, and human error, and adapting to agile updates, we’ve made our QA processes faster, more accurate, and more efficient. This allows us to deliver high-quality software on time, meeting client expectations and improving customer satisfaction. With AI in our testing workflow, we’re not just automating tasks; we’re improving the entire testing process, ensuring that we deliver the best possible product to our clients.