How to solve the 3 biggest Oracle Cloud testing challenges with “Risk-based” Continuous Testing?
Enterprises across the globe using Oracle Cloud Applications often face similar challenges while testing their applications. Their key questions remain the same.
- How can they work out what to test?
- How can they understand the changes that come with frequent updates?
- How to maintain test automation scripts?
Finding suitable answers to the above questions is important to keep business disruption at bay. Enterprises that struggle to find answers to these questions often leave the business at risk. In this blog, we’ll discuss how “risk-based” continuous testing can help in addressing these challenges.
- What to test?
Oracle cloud apps are ever-evolving that receives updates thrice a year. These updates bring new functionalities, features, & bug fixes that help enterprises to efficiently and effectively manage their operations. Since these updates have the potential to negatively impact the existing business processes, enterprises need to regressively test the updates prior to deployment to the production. Oracle offers a two-week window for testing. However, the biggest challenge is “What to test?” Oracle cloud apps are huge, can be customized and integrated with a range of applications. QA teams often find themselves in a dilemma while deciding what to test and how many regression cycles they need to run.
- How to understand changes that come with frequent updates?
Updates every quarter means that every three months enterprises will receive new functionality. Anyone responsible for managing and supporting Oracle Cloud Apps needs to understand how new features are going to impact current business processes. Since new features could have major implications for operational efficiency, even small changes need to be tested.
- How to maintain test scripts?
QA teams often struggle to maintain the test scripts. Oracle Cloud Apps feature dynamic elements. Updates in Oracle Cloud Apps often bring navigation changes, change in the object metadata and properties, and changes in the table structures. Due to these changes, test scripts tend to break, leading to unstable test results.
Risk-based Continuous Testing — Helping you keep pace with Oracle Cloud Frequent Updates
How to decide which test cases are important is a daunting task. Whatever testers consider may not be necessarily important. Our vast industry experience suggests that QA teams often go for a “test everything” approach. However, they tend to achieve only 40% of the risk coverage. On average, 70% of the test cases don’t contribute towards test coverage. Rather they make testing slow to execute and costly to maintain. We recommend the “Risk-based Testing” approach that focuses on risk coverage. AI-powered risk-based testing helps QA teams to focus on test cases aligned with business priority. With this, QA teams can quickly reach optimal coverage with focused continuous test automation. With continuous testing, QA teams can test early, often & comprehensively using an automation framework, enabling IT managers to make informed decisions on the optimization of the value of a release.
The proposed Oracle Cloud Test Automation Framework should support
- Change Impact Maturity — Always select an Oracle aware automated test framework that highlights the changes in your transactions, configurations, and custom screens after the update and immediately identifies the testing impacts due to those changes.
- Risk-based Test Recommendations — The selected test automation framework should take away all the guesswork out of determining what needs to be tested before changes are deployed to your Oracle Cloud apps. The test automation framework should recommend test cases based on the highlighted risk and their dependent components to eliminate hours of effort and struggle.
- Autonomous Healing of Test Scripts — Oracle Cloud test automation framework should alleviate the “maintenance burden” that undermines the test automation initiatives. The test automation framework should come with autonomous healing capabilities so that changes can be accommodated automatically without requiring human efforts. It will save hours of manual effort.
Thus, with the help of Risk-based Continuous Testing, enterprises can easily achieve adequate test coverage while minimizing execution time and efforts. Understanding the impact of the changes help your enterprise update adoption ready while risk-based coverage keeps business risks at bay.