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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.

Summing Up

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.

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How powerful Salesforce test automation can help you achieve digital transformation initiatives?

“Digital transformation isn’t one app [solution], it’s a must-have. Organizations and governments around the world have a digital transformation imperative like never before, and many of them are accelerating their plans for a digital-first work-from-anywhere environment.” Marc Benioff, founder and CEO of Salesforce

Salesforce is a complex customer relationship management (CRM) software and is highly customizable. Furthermore, it can be integrated with a wide range of applications in different ways such as web services, outbound messaging, web portals, social media, data loader, etc. To ensure that customizations, enhancements, & seasonal updates haven’t impacted your existing business processes or compromised other elements of your Salesforce ecosystems, you need to test it thoroughly. Whether you’re a system architect or a business user or a system admin, you need to test your enhancements against the original requirements to ensure that system is operating as it is intended to do.

Problems with Manual-only Salesforce testing

Manual testing approach for Salesforce requires weeks if not months. In a scenario, when Salesforce is rolling out hundreds of features with seasonal updates who has that much time to test manually and that too thrice a year.

One of the biggest drawbacks of manual testing is inadequate coverage. In manual testing, testers can’t test every nook and cranny in the time available. Rather, they test on the basis of their experience which often covers only 40% or even less risks.

Manual testing approaches are often hit with inaccuracies. Salesforce is a complex application that can be customized and integrated seamlessly. Having so many moving parts, it is really difficult to adequately check for every possible regression that may creep back as the code base grows.

Salesforce applications support different types of roles. So, manually writing test cases for different roles, features and settings not only can be tedious but also time consuming.

Salesforce has a dynamic environment. So, ids are generated at the runtime and field locator based on ids require constant maintenance due to change in the code. So, maintaining scripts can be very challenging in a scenario when updates are rolled out thrice a year.

The complexity of Salesforce testing cannot be ignored since most organizations customize their Salesforce environment using third-party apps or add-ons. Apart from this, role-specific permissions make Salesforce an incredibly difficult application to test manually.

So if not manual testing, then what?

The answer to this question is Salesforce Test Automation. In order to keep pace with Salesforce release cycle and to protect business from disruption, enterprises need to test automate Salesforce. Since test automation delivers quick feedback ti developers while enabling them to instantly rectify bugs or glitches, it helps in faster time-to-market. Apart from this, Salesforce test automation infuses consistency in releases by ensuring that regression cycles are consistent, robust and there will be no variation.

Although Salesforce test automation has numerous benefits but enterprises need to be careful because many test automation platforms are really good only at cycling through screens. They don’t actually do real regression testing. While selecting test automation framework for Salesforce, you need to keep given below points in mind.

Zero Code Test Automation – Choose a Salesforce specific test automation platform that understand meta data context and offers an intuitive no-code interface for non-coders to automate testing.

Pre-built Test Assets – Having pre-built test libraries for Sales, Marketing, Service Cloud, and CPQ functions can cut down initial setup time by 70%.

Autonomous Test Framework – Self-configuring helps in setting up your existing configurations painlessly & self-healing capabilities can help in cutting down maintenance efforts. Due to dynamic elements, scripts get broken in Salesforce. Having autonomous healing capabilities help in reducing maintenance efforts.

Change Impact Analysis – Adopt a test automation framework that can automatically analyse the impact associated with the change and autonomously incorporate those changes in test automation.

Risk-based Coverage – Salesforce Test Automation framework should analyse change impact and delivers visibility into the risks that can be introduced by the changes, enabling QA teams to refactor test cases even before development while allowing admin to plan release better.

Original Source is here : How powerful Salesforce test automation can help you achieve digital transformation initiatives?