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Prashant_Telkar
Product and Topic Expert
Product and Topic Expert
471

SAP Post-Upgrade Tests (PUT) is a crucial step in the SAP S/4HANA Public Cloud upgrade process, enabling system stability and business continuity. One of the most important factors influencing the efficiency of this phase is the effective use of Test Data Container (TDC). When leveraged correctly, TDCs can streamline automation efforts, reduce manual intervention, and enhance test accuracy and efficacy.

As an Expert in Test Automation Tool for SAP S/4HANA Cloud Public Edition, I’m excited to share practical insights and best practices on optimizing TDC usage in PUT.

The Foundation: Identifying PUT Processes

The journey to efficient TDC usage begins with a comprehensive inventory of all PUT processes selected for execution. This initial step is crucial as it lays the groundwork for effective test data management within your TDC variant. By having a clear picture of all processes, you can ensure that no test scenario is overlooked and that your test data strategy is all-encompassing.

The Devil in the Details: Reviewing and Maintaining TDC Bindings

Once you have your process list, it's time to dive deep into each test process. The goal here is to identify and maintain all TDC bindings meticulously. This involves ensuring that all required and relevant field values are accurately maintained in the standard variant 'Variant_XX' of the respective standard TDCs. This step is critical in minimising data inconsistencies that could potentially derail your test execution.

Snapshot 1 showing relevant filed values being maintained in Variant_XX

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The Safety Net: System Check on PUT Trigger

As you trigger PUT, the system performs an automatic validation - a crucial safety net in your testing process. This check ensures that all necessary TDC binding data is available in the standard TDC variant. If all bound fields have maintained data, the system proceeds with test execution using this data, bypassing the data picking logic. However, if any field is missing, the system falls back to the intelligent data picking logic, ensuring uninterrupted test execution.

The Time-Saver: Auto-Population of TDC Data

To further streamline the process, SAP offers an option for auto-population of bound test data containers. By providing consent, you allow the system to automatically* fill the standard TDC variant 'Variant_XX' with test data from the data picking logic  for standard post-upgrade test automates, if data isn't already maintained. This feature not only reduces manual effort but also ensures a more structured and automated test data management process.

Snapshot 2 showcasing provision of consent for auto-population of test data in Post-Upgrade Tests app

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*Please review the automatically filled data in the variant for your automates

 The Maintenance Routine: Regular Data Review

As with any robust testing strategy, regular maintenance is key. For each release, it's crucial to review the data maintained in the standard variant and update it as necessary before triggering PUT. This proactive approach minimizes failures due to data inconsistencies and keeps your testing process smooth and efficient.

Conclusion:

Implementing these best practices for TDC usage in SAP Post-Upgrade Testing (PUT) can significantly enhance your testing efficiency. By leveraging system validations, automated data population, and structured test processes, you can achieve seamless execution while reducing manual effort and maintaining high data accuracy.

Remember, the key to successful PUT lies not just in automation, but in smart automation. By following these guidelines, you're not just running tests; you're optimizing your entire testing strategy, saving time, reducing errors, and ultimately, delivering a more robust SAP system to your organization.

As SAP systems continue to evolve, so too must our testing strategies. Stay tuned for more insights on SAP test automation, and don't hesitate to share your experiences with TDC usage in the comments below. Together, we can continue to refine and improve our SAP testing practices.

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