Test Automation for their LiDAR solution

Success Stories

Test Automation for their LiDAR solution

The client, a leading provider of LiDAR sensors and smart sensing solutions for self-driving vehicles and security applications, needed end-to-end testing and test automation for their LiDAR solution. They required a comprehensive testing strategy and automation framework to ensure the reliability, functionality, and performance of their deployable solution.

Spanidea Solution:

Our team at Spanidea provided end-to-end testing and test automation services to the client, covering all phases of the QA lifecycle. The key contributions of our solution are as follows:

Test Strategy:

We worked closely with the client to define the testing objectives, timelines, environment, data requirements, and overall approach. We identified the necessary testing activities and defined roles and responsibilities for the testing effort.

Test Plan:

We created a comprehensive test plan document that outlined the scope, approach, resources, and schedule for the intended test activities. This plan served as a roadmap for the testing efforts and ensured proper alignment with the project goals.

Test Case Development:

We meticulously documented each requirement (user story) as a ticket in Jira. Test cases were developed with detailed manual execution steps, covering positive and negative test scenarios. These test cases underwent peer reviews and team reviews to ensure their accuracy and completeness.

Test Execution:

We executed various types of tests, including regression testing, feature testing, system testing, sanity testing, and beta/acceptance testing. The test results were recorded, and any issues or defects found were raised as bugs in Jira. We tracked these bugs to resolution and ensured their timely resolution by assigning them to the development owner.

Automation Testing:

To minimize manual testing efforts and improve efficiency, we provided more than 500 automation test scripts. We identified automation opportunities, designed the test framework, and conducted peer reviews and team reviews. The automation suite was executed on each release, and any defects found were reported as bugs for resolution.

Platform and Tools:

We leveraged Squish and Python for test automation, utilizing network tools and gRPC (Google RPC) APIs for client-server architecture testing. Our expertise covered testing on various platforms, including Linux, Windows, and Mac.

Business Benefits: The implementation of end-to-end testing and test automation brought several benefits to the client’s LiDAR solution:

Improved Testing Efficiency:

By automating a significant portion of the testing process, we reduced the manual effort required for testing. This resulted in faster test execution, increased test coverage, and improved overall testing efficiency.

Enhanced Product Quality:

Through rigorous testing and bug tracking, we helped the client identify and resolve defects, ensuring the high quality and reliability of their LiDAR solution. This enhanced the product’s performance and functionality.

Time and Cost Savings:

The automation of test scripts and the efficient test execution process led to significant time and cost savings for the client. Manual testing efforts were minimized, enabling the client to allocate resources more effectively.

In summary, our end-to-end testing and test automation solution provided comprehensive coverage for the client’s LiDAR solution. By defining a robust testing strategy, developing detailed test cases, executing various tests, and automating the testing process, we ensured the reliability, functionality, and performance of their LiDAR solution. This resulted in improved product quality, cost and time savings, and increased testing efficiency.