Though seasonal updates provide enhanced capabilities to perform a better business operation for Salesforce customers, testing remains a bottleneck. As the updates are frequent, we need to test the frequent and constant chain of changes quickly. Additionally, as Salesforce is highly customizable and provides multiple integrations, testing becomes more challenging.
To ensure that the customizations, enhancements, & seasonal updates haven’t impacted your existing business processes or compromised other elements of your Salesforce ecosystems, you need to test them thoroughly.
Implementing a test automation platform is a must for handling the seasonal updates of Salesforce seamlessly. Open source tools like Selenium are not ideal for testing Salesforce, as maintaining test automation scripts is challenging due to multiple update cycles.
Time-Consuming Script Maintenance: Due to dynamic elements like Xpath, id, name, and class, which do not remain static during patches and updates, QA teams need to fix the changes in the test automation scripts manually. Manually fixing the changes is time consuming and costly.
Inadequate Test coverage: Due to the frequent updates, the tester has less time to validate every update change. Hence they execute the test cycles based on their experience, ending up covering only 40% of the risks.
Inaccurate Testing: As changing test scripts during update cycles involve human intervention, there is a high chance of updating incorrect values for dynamic elements. Hence manually updating the test scripts can lead to inaccuracy.
Steep Learning Curve: Most popular Salesforce test automation platforms require programming to create test cases. Since most business users aren’t programmers, it’s nearly impossible for them to contribute to Salesforce test automation. Even if they want to contribute, it takes months to speed up.
Code-based test automation tools aren’t optimal because they lengthen test case creation time, offer maintenance burdens. So let’s see how no code test automation solves the purpose.
Self-healing test scripts: Robust test automation tools with AI-powered self-healing test scripts automatically fix broken test cases due to dynamic object properties like –Name, ID, Xpath, or CSS–self-healing without any human intervention, saving your enterprise hundreds of hours of test maintenance.
Smart Object Recognition: Choose a test automation tool that leverages machine learning and advanced optical character recognition (OCR) techniques to naturally identify objects. AI-based object recognition and object interaction allow a single script to run on both Lightning and Classic versions of Salesforce.
Change Impact Analysis – Adopt a test automation framework that can automatically analyze the impact associated with the change and autonomously incorporate those changes in test automation. It shows which salesforce feature requires high-priority testing and the suggested number of test cases to cover 100% risk. This helps in increasing the test coverage by multi-folds.
Pre-built Test Assets – Some test automation tools like Opkey offer pre-built test libraries for Sales, Marketing, Service Cloud, and CPQ functions, reducing initial setup time by 70%.
Low learning curve: No-code Salesforce test automation platforms require minimum training to get started. It enables non-technical users to build and scale automation through drag-and-drop and record-and-playback features.
No code test automation tool Opkey offers advanced features like change impact analysis, smart object recognition, self-healing test scripts, etc., to eliminate the hassle of maintaining the test scripts in code-based automation testing tools.
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