Intelligent automation solutions in the aviation industry created a more resilient business.

Integrating intelligent automation solutions and QA in aviation app development had one clear advantage – we knew that most test data could be generated automatically since they included primary fields, such as names, flight numbers, etc. Having engineers manually create this data was time-consuming and expensive. We developed a bespoke IA-based application to generate this data in just two clicks. We used tools the client already had licenses for wherever possible to minimize expenditure and built the solution ourselves to retain budget-friendliness.

The intelligent process automation solution cut the time to create test data from an average of two minutes to around 20 seconds – a 95% reduction! Engineers can now create test data with two button clicks rather than a complicated process of writing 10 or more commands without additional licensing costs.

The client used a mainframe-based application to pass commands and generate test data, which was a very time-consuming process. The commands that needed to be passed for test data creation were also very complex and not user-friendly. Although the client had many qualified engineers, we understood they were not the only stakeholders who needed to get involved with quality software testing. Employees with less technical training needed to run tests and understand reports, too. We considered this as we designed the test data generator app. The app had an intuitive and accessible UI with dropdown fields and default values wherever possible, so the user need not undergo too many steps for test data creation.

Creating test data was one of the biggest bottlenecks to QA efficiency for our client. Every time a new process needed to be tested, a test engineer had to find data to test it on. One drawback of the manual test data generation process was that repetitive data had to be regenerated from scratch for each test because there was no repository to store and pull regular data from.

With no central repository to pull the data from, engineers had to create it from scratch every time – a huge manual effort that took up 30% of the testing duration. We created a central repository for the client, so they could save even more time by pulling regularly required data wherever possible and entering new data themselves when required. This simple task greatly, and quickly improved the software quality engineering for this major name in the airline industry.