To address these challenges and improve the overall QA process, the following solutions were proposed and implemented:
Unified Testing Environment:
A unified environment was established, providing all QA team members access to a shared database and a single URL. This allowed testing to begin from the initial stages, ensuring consistency and collaboration among team members. The shared environment streamlined the testing process and enabled comprehensive validation.
Detailed test data and test cases were created, prioritizing comprehensive documentation. Each change and bug fix required a well-formatted change document, facilitating effective test planning and ensuring adequate test coverage. The focus on documentation enhanced visibility and traceability, enabling better coordination between the QA team and developers.
Enhanced Server Access for QA:
QA team members were granted access to log files through WinSCP, enabling them to review and analyze logs independently. This eliminated the need for constant developer assistance, leading to faster issue resolution and increased testing efficiency. With improved access to logs, the QA team could identify and address potential problems without relying solely on developers.
API testing automation was implemented using the Python programming language and the pytest framework. Allure was utilized for reporting purposes. Automated tests covered various API scenarios, reducing manual effort and ensuring consistent and reliable API testing. Test automation improved efficiency and test coverage, particularly for frequent API changes.