Test Automation Strategy to drive Continuous Validation

Introduction

Benison is focused on ensuring product quality, implemented a comprehensive test automation strategy to continuously validate various aspects of their client’s product platform. This case study delves into the challenges faced, the solutions implemented, and the remarkable achievements attained through this multi-pronged approach.

Challenges

Automating software testing presents inherent complexities. In this project, Benison encountered several roadblocks:

  • Complex Test Scenarios: Certain test cases involved intricate functionalities that were difficult to automate using traditional methods.
  • Test Data Management: Managing large and dynamic test datasets for a variety of test cases posed a significant challenge.
  • Test Maintenance: Maintaining and updating automated test cases as the product evolved required ongoing effort.
  • Real Device Dependency: Reliance on physical devices for test execution limited scalability and introduced scheduling constraints.
  • Java Swing Client Automation: Automating a Java Swing-based client presented a unique challenge requiring specialized tools and techniques.
Test Automation Strategy

Benison addressed these challenges by employing a multifaceted test automation strategy that encompassed various tools and techniques:

  • Web GUI Client: Selenium WebDriver, a popular browser automation tool, was leveraged in conjunction with Python and Behavior-Driven Development (BDD) for automating web UI testing. BDD facilitated the creation of easy-to-understand test cases that closely aligned with business requirements.
  • REST API: Similar to the web UI, Python and BDD were used to automate REST API testing. This ensured comprehensive validation of the core functionalities exposed through the API.
  • CLI (Command-Line Interface): Python and BDD were once again employed to automate CLI testing, guaranteeing the accuracy and efficiency of command-line interactions.
  • Device Emulation: To overcome the limitations of real device testing, Benison implemented device emulation using the Python-Flash framework and Docker containers. This approach significantly reduced costs, minimized dependencies on physical devices, and facilitated parallel execution of tests.
  • Java Swing Client Automation: While not explicitly mentioned in the provided solutions, potential tools like Robot Framework or SikuliX could have been employed to automate the Java Swing client testing.
Achievements

By implementing this multi-pronged strategy, Benison achieved significant improvements in the client’s product validation process:

  • Device emulation using Docker containers eliminated the need for real devices, leading to cost savings and increased test execution flexibility.
  • BDD promoted the creation of clear and maintainable test cases, streamlining the development and upkeep of the automated test suite.
  • An impressive 100% test coverage was attained for the REST API, guaranteeing in-depth validation of its functionalities. Additionally, a commendable 95% test coverage for the CLI ensured thorough testing of command-line interactions.
  • The strategy facilitated testing across various channels – UI, API, and CLI – providing a holistic view of the product’s functionality.
  • The ability to run tests in parallel using emulated devices significantly reduced overall test execution time.
Conclusion

Benison’s multi-pronged test automation expertise is validated by Customers trust and confidence. By effectively combining various tools and techniques, they successfully addressed complex test scenarios, streamlined test data management, and ensured high test coverage across all critical aspects of the client’s product platform. This case study highlights the value of a well-defined test automation approach in delivering high-quality software products.