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he client is a leading provider of cloud-based airline catering management solutions. More than 15 airlines—totaling 1.22 million flights—worldwide use 15+ of its products.
The client was keen to improve its application quality before production release and also wanted to minimize product defect leakage into downstream applications.
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After studying the client’s key needs, Marlabs decided to create an automation strategy to ensure higher application quality and leverage test automation to speed up the time to market. To enable this, Marlabs established special industry and client-specific Dev, QA, DBA, support, and infrastructure teams to deliver the following:
Automated Flight Event Test: Automated the testing of the Flight Event process via SOAP. This reduced the time taken for manual test data creation and validation.
Application Performance Test: Helped create scenario-based performance tests using the Jmeter tool. The scripts for testing were migrated from Neo-Load to Jmeter.
Parallel Run Automation Execution: Enabled end-to-end execution of large volumes of business/production data—this built confidence in the system.
Interface Testing: Automated inbound and outbound interface file testing process with DB script for Test Data creation and macros for processing inbound files.
Web and Micro Services: Automated testing processes for validating web services for Pax Polling and Flights Events and testing simple queues and microservices.
Metrics and Dashboards: Established weekly/monthly/release-wise progress measurement with metrics management and status reporting.
The automation initiatives directly impacted QA, resulting in improved applications, lowered leakage of defects into downstream applications, and reduced the cost of quality management. Marlabs used Postman to automate API testing using pre-defined scripts and validation techniques. The automation enabled the client to speed up the time to market and identify process gaps and bugs (by 15%) and master data gaps (by 30%).
In addition, Confluence and GitBook were used to create a knowledge base repository with supporting documents, allowing the client’s team to understand the project.