Technology Stack
Implementation
Keyword-Driven Test Design:
Utilizing the keyword-driven approach offered by the Robot Framework, we designed our test cases using plain English keywords. This approach not only facilitated ease of understanding but also ensured maintainability of the test suite over time.
Documentation for Clarity and Collaboration:
We utilized the documentation feature provided by the Robot Framework to provide detailed descriptions of test cases and keywords. This documentation not only served as a reference for understanding the purpose and behavior of each test element but also facilitated collaboration among team members by providing clear instructions and insights into the test suite's functionality.
Efficient Test Organization with Tags:
Additionally, we leveraged tags to categorize and classify test cases based on various attributes such as functionality, priority, or environment. These tags enabled efficient organization and selective execution of tests, allowing the team to focus on specific test scenarios as needed during different stages of development and testing cycles.
Test Data Management with Setup and Teardown Keywords:
We also utilized the Setup keyword of the Robot Framework to efficiently create the test data required for testing the REST APIs, while the Teardown keyword was used for data cleanup. This approach ensured that our automated tests had access to the necessary data, enabling comprehensive testing of API functionality and further enhancing the reliability of our software products.
Comprehensive API Response Validation:
REST API responses were thoroughly validated using various criteria, including checking the status code, comparing actual versus expected responses, and implementing custom checks. This comprehensive validation process ensured the correctness and integrity of the API responses, contributing to the overall quality of our software products.
Automation and Reporting with Test Runner:
Finally, to automate the execution of our test cases, we utilized the test runner provided by the Robot Framework. This enabled us to execute tests in a sequential manner and generate detailed test reports, providing valuable insights into the test results and facilitating informed decision-making.
Outcomes
Metrics
- 12 APIs Automated: Testing procedures for 12 APIs, including functionalities such as image uploading, CSV and PDF export, and Auth token handling, were automated.
- Total 103 Test Cases Automated: Demonstrating comprehensive coverage achieved through the automation of test cases across various API functionalities.
- Test Execution Time: Approximately 8-10 minutes are required to execute all the test cases, showcasing the efficiency gained through automation.
Summary
Pros:
- Framework Streamlining: Implementing the Robot Framework streamlined testing, simplifying setup and execution.
- Reliable Validation: Thorough response validation and clear test case design enhanced software reliability.
- Enhanced testing integrity and efficiency: Automated test execution and comprehensive coverage improved software integrity.Optimized test data handling and faster cycles increased testing efficiency.
Cons:
- Learning curve for newcomers: While the keyword-driven approach simplifies test design, there may be a learning curve associated with understanding the Robot Framework and its syntax, especially for those new to it.
- Limited language support: While the Robot Framework supports multiple programming languages, its primary focus is on Python, which may limit its suitability for teams preferring other languages.