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Gone are the days when enterprise software vendors rolled out disruptive updates every three to five years. In this agile world, DevOps, & DevSecOps, where businesses roll out more frequent updates, enabling businesses to streamline their operations more efficiently. Oracle is no exception. Oracle, at the forefront of innovation, rolls out quarterly updates to its customers. This means that every three months, customers will receive new features and customer enhancements to help them manage their operations efficiently.
Businesses still using traditional testing methods are struggling to keep up with the frequency of Oracle Cloud updates. Some of the challenges enterprises face in Oracle Cloud Testing include coping with testing demands, long turnaround times to complete testing activities, insufficient test coverage, security testing, and more.In this article, we will focus on three sections
- why need Oracle Cloud Quarterly Update test?
- Why do businesses need to revisit their Oracle Cloud testing strategy?
- How should you keep up with Oracle Cloud updates?
Let’s start looking for answers to the above questions.
Why do I need the Oracle Cloud Quarterly Update Test?
- Oracle Cloud Updates have the potential to disrupt existing functionality, customizations and critical integrations. Therefore, you need to test the update before production deployment.
- Oracle rolls out updates after testing. However, this test does not apply to your specific environment. As a result, new bugs may be introduced – or bug fixes may negatively impact your business processes.
- Existing user rights or access rights may change with each update. Therefore, security testing is essential to ensure enterprise data security and compliance requirements.
Why do businesses need to revisit their Oracle Cloud testing strategy?
- Each Oracle Cloud quarterly update requires two rounds of regression testing: in the test environment and in the production environment.
- This means that businesses need to perform regression testing at least 8 times a year to prevent business disruption risks.
- do it manually Oracle Cloud Testing is a challenging task, as a test scenario may require multiple clicks, data entry, and navigating across multiple screens. Imagine how long it would take to test an entire Oracle Cloud application!
- Code-based automation tools cannot be used because Oracle is a highly dynamic application. Small changes in the UI can break test automation scripts. Therefore, maintaining test scripts requires a lot of effort.
- Insufficient test coverage is another challenge that businesses need to address.
Keeping pace with Oracle Cloud quarterly updates with zero-code test automation
Testing without automation is no longer a record and play engine. Thanks to the combination of advanced technologies such as artificial intelligence (AI), machine learning (ML) and natural language processing (NLP), it is much more than that. The immediate value of AI-driven test automation is shorter test cycles, more stable builds, and adequate coverage, which translates into faster feedback to developers and cost savings for the business. Let’s see how.
Zero code / low code: Test automation based on natural language processing supports the creation of test cases in simple natural language (i.e. English). Since test creation does not require any coding knowledge, manual testers, business analysts, stakeholders, QA managers, etc. can all be involved in the tests, ensuring adequate test coverage.
Self-healing: Maintaining Oracle test automation scripts can be a challenging task for test engineers. ML-driven test automation reduces the “maintenance burden” by autonomously identifying affected test cases and automatically fixing them without human intervention.
impact assessment: AI-driven impact assessments help you understand how new capabilities will impact existing processes and procedures.
risk-based insurance: Based on the impact area, Oracle Test Automation Platform recommends test cases to ensure adequate coverage. You can avoid testing and testing with test automation.



