Sprint 4 ‐ Testing Report
In the final Sprint 4, rigorous testing was conducted on the User Login Page, Notification Page, and Logout Page of the Career Services Platform. Leveraging the Pytest framework, the development team meticulously validated these features, ensuring they met specified requirements. The successful testing outcomes underscore the platform's seamless and secure user experience, achieved through a collaborative approach that identifies and addresses potential issues early in the development cycle.
- Test Case 1: Verify if the user login page is accessible.
- Test Case 2: Test the user login functionality with valid credentials and ensure redirection to the appropriate dashboard.
- Test Case 3: Test user login with invalid credentials and verify the display of appropriate error messages.
All test cases passed without any issues. The user login page has been successfully implemented and functions as expected.
- Test Case 1: Verify if the notification page is accessible.
- Test Case 2: Test the display of notifications with varying content and ensure proper rendering.
All test cases were executed successfully, demonstrating that the notification page has been effectively developed and is operating in line with the specified requirements.
- Test Case 1: Verify if the logout functionality is accessible.
- Test Case 2: Test user logout and ensure redirection to the login page.
- Test Case 3: Verify that attempting to access restricted pages after logout results in redirection to the login page.
All test cases were passed without any discrepancies. The logout functionality is properly implemented, providing users with a secure and seamless way to end their session.
By implementing and executing these acceptance test suites using the Pytest framework, we have successfully validated the User Login Page, Notification Page, and Logout Page of the Career Services Platform. This thorough testing process, combined with continuous integration practices, has enabled us to identify and rectify any potential issues early in the development cycle. As a result, the platform offers a high level of reliability, ensuring a positive experience for both candidates and employers while using these critical features.