Various organizations use Oracle Cloud applications; its products offer many features to streamline business operations. Oracle releases quarterly updates for the new functionality addition, and due to this, testing becomes the crucial aspect for the installation of the effective update.

Choosing the right Oracle test automation platform becomes critical for successful testing. Opkey is a renowned tool for Oracle. Its no-code test automation feature helps accelerate the overall testing process by leveraging new-age technology, like AI and NLP.

In this blog, we highlighted the significant challenges associated with Oracle testing and the techniques to overcome them.

Challenges Of Oracle Automation Testing

Data Management

Oracle applications often rely on large and complex databases for storage and data management. Oracle test automation platform requires handling and manipulating data within the application. Generating test data, maintaining data integrity, and managing data dependencies can be challenging. Organizations need to ensure accurate and representative data availability for testing, which may involve data masking, data generation, or data extraction techniques.

Test Environment Management

Various testing scenarios and test data are needed to test the specific configurations of Oracle applications. Managing test environments with the necessary Oracle instances, databases, and configurations can be complex, particularly in large-scale enterprises.

User Interfaces (UI)

Oracle applications comprise rich and dynamic user interfaces that can evolve. Automation tools are typically based on element identifiers and locators to interact with UI components. Any change in the user interface may lead to the failure of automation scripts because locators become unresponsive.

Integration Challenges

Oracle Applications are integrated with other systems, such as external databases, middleware, or third-party applications. Automating testing in such integrated environments requires dealing with multiple systems, data synchronization, and ensuring end-to-end testing across the entire application landscape. It can be complex to orchestrate the necessary interactions and validate data flow and consistency across various systems.

Scalability and Performance

Large enterprises with high transaction volumes and complex business operations customarily use Oracle applications. Automation of such applications requires ascertaining the performance and scalability of the automation framework. Scripts and test scenarios need to be designed to handle large data sets, multiple users, and complex business flows. Efficient resource utilization and proper test data management are crucial to achieving scalable and high-performing automation.

Skill Set and Training

Effective automation of Oracle Applications requires skilled resources with knowledge of the applications, technologies, and tools. Organizations may face challenges in finding and retaining professionals with the necessary expertise. Providing adequate training and upskilling opportunities to the automation team is essential to overcome skill gaps and ensure successful automation.

Customizations and Configurations

Many organizations customize their Oracle Applications to meet their specific business needs. These customizations can add complexity to the automation process as they may require additional scripting or configuration to handle unique scenarios. Configurations specific to each deployment can also impact the automation effort, as automation scripts need to adapt to different environments.

Continuous Updates and Upgrades

Oracle regularly releases updates, patches, and new versions for their applications. These updates can introduce changes to the user interface, functionality, or underlying technology stack. Automating Oracle Applications requires ongoing maintenance and updates to ensure compatibility and stability with the latest versions. Keeping up with these updates can be challenging, especially for organizations with complex application landscapes.

Overcome Oracle Automation Testing Complexities with These Strategies

Test Automation Framework

Developing a robust and scalable  Oracle test automation platform helps streamline testing efforts. The framework designed should consist of reusable components. Moreover, it should also enable data management and integration testing.

Continuous Integration and Deployment

Embrace continuous integration and deployment (CI/CD) practices to automate the build, deployment, and testing processes. This approach allows for faster feedback loops and ensures that automation scripts are executed regularly against the latest application versions. Implementing CI/CD pipelines helps identify issues early, reduces time spent on manual setup, and enhances collaboration between development and testing teams.

Opkey: A Codeless Test Automation Platform!

Oracle applications are most widely used among industries as they offer them various benefits. However, it has associated challenges, and implementing the best possible practice helps overcome them. Automation testing is the upcoming and most significant solution for Oracle applications. Choosing the right Oracle test automation platform is crucial to streamline the testing process.

Opkey is a no-code test automation platform built specifically for Oracle. It facilitates impact analysis reports with each quarterly release, helping organizations identify their most at-risk objects.

Their AI-powered self-healing scripts reduce testing efforts by 70% bringing businesses closer to sustainable test automation. Moreover, it empowers organizations to test complex cross-application business processes.

Whenever there is any kind of risk associated with integrated packaged apps, it provides alert notifications. You can schedule a demo with Opkey experts for more information.