What is a data integration platform?
A data integration platform allows IT professionals to bring together data from multiple sources and provide a comprehensive, precise, and up-to-date dataset for BI, data analysis, and other applications and business processes.
A Smart Data Integration platform creates solutions customizable for each business. It is used to simplify and accelerate while preserving your existing IT systems, know-how, and investments by creating a secure communication flow between different applications.
What are the specifics of this project?
The platform focuses on data integration, data monitoring, data transformation, and security. For this project, we focus on end-to-end testing to cover all of its UI and functionality. The goal of end-to-end testing is to simulate a real user scenario from start to finish.
- Creating relevant E2E automation scripts and workarounds for the application interface
- Constant improving the tests to be more efficient and relevant
- Refactoring and fixing old test suites for newer or older versions of the application
- Functionality investigations
- Bug investigations and bug reports
What does a tester do on a data integration project?
It is similar to other QA roles, but this time we are working on an automation project.
- Reviewing the documentation closely with the product owner and the development team
- Creating and improving test cases
- End-to-end automation scripts
- End-to-end testing and flow integration
- Maintenance of the created scripts
- Pipeline integration
Additionally, depending on the project’s goals, the tester participates in weekly meetings with the team.
What’s the team composition and organization?
Because of the project’s complexity, different teams are testing different app features. On our side of the project, we have two automation testers that work closely with the project manager and the automation engineer team lead.
What are the testing tools used?
We write our scripts in Selenium with the use of Typescript. For bug reporting and tracking, we use Jira, and for pipeline integration, we use Jenkins.
What are the challenges for this project?
With such a large and complex project, similar difficulties tend to occur.
Understanding the functionality to make the tests as relevant as possible
Working on such a complex project can be challenging as it can have multiple features you are not familiar with. To make a test relevant and accurate for the application, you need to understand the application’s functionalities and features.
You have to create comprehensive test scripts to maximize test coverage and accuracy, refactor old test suites for newer project versions, and maintain test infrastructure. The end goal is to assure maximum test coverage and effectiveness.
While writing test cases, remember that focusing on one story can lead to duplicate scenarios in the test cases that follow.
Dealing with the bugs in the process of automating the test cases
Applications such as this one are very dynamic since they are used by different clients, with different specifications for each of them.
Until the new release is up, we have to write the scripts for the older versions, which present different types of bugs. Take into account that these bugs should be resolved in the new version.
However, some problems may appear in the future, so we need to investigate their impact and occurrence carefully so the code will easily bring to light any possible bugs.
Communication between teams.
Communication is key in any project; that’s why ensuring good communication flow between the teams is essential.
Using the proper channel to communicate can ease the flow of communication. Tools like Slack and Trello are easy-to-use and can help organize teams and workflows.
Regarding all these factors, we can confidently say that testing is an essential part of the software development life cycle. Book a meeting with our professionals to learn more about our data integration project and see if we can help you with your project.