Procedure to Performing Automated Database Testing Accurately

ERP Solutions oodles
3 min readJun 23, 2020
ERP software solutions

Database is undoubtedly a critical element for every application. Even e-commerce service providers, pharmaceutical establishments, banking, and insurance corporations utilize large sets of databases. Thus there is a necessity to possess an indestructible and coherent database system achieved by dedicated database testing in situ.

With increasing data complexities, heterogeneous environments, and data sizes in terabytes, it’s really difficult to make a testing strategy that supports manual testing. In these cases, test automation can help perform data validation, schema verification, database checkup, security checks, etc. It helps in performing the proper data checks in an optimum time-frame and budget. However, to ensure there are no database crashes, failovers, broken insertions, or deletions, one needs to create a sound database test automation strategy. This can be achieved by following the right steps.

There are the 8 steps to performing automation database testing precisely:

1. Identification of Scope

First of all, we have to identify what needs to be covered in database testing, what needs to be excluded, and which informational indexes are affecting the application execution most. On the basis of this identification, aspects like database guideline checks, data verification, health checks, schema verification, security checks and so more are often clubbed together within the scope of testing.

2. Test Script Preparation

The next step is to organize the test scripts which need you to grab needful SQL queries to be executed, identify conditional flows, and prepare automation scripts. While creating test scripts, always keep a version of test scripts in mind for future utilization and also make the code maintenance-friendly right at the initial stage.

3. Test Case Identification

This step is to spot the priority test cases to hold out data checks with a query to question or query to previously stored data. It requires you to create needful batches in case there are huge data sets. While identifying these test cases, confirm they’re flexible enough in order that for a couple of test cases, testing is often performed at an abstract level while others can be done till row-level comparison.

4. Execution

In this step, we execute scripts that you simply have prepared or tweak them to perform needless to say. You can add needful conditional flows, loop around to use the same case for multiple sets of data, and make them more robust. While execution, also confirm you think about the test environment to get accurate test results.

5. Reporting

Once the execution is over, monitor the result of the execution. You can probe the detailed analytics and generate reports for managers and developers to require necessary actions. Further, you’ll also make a provision to store the reports within the format of choice for further evaluation and analytics.

6. Post Execution Monitoring

Post the execution and reporting, monitor the test results to spot the trends, and make necessary changes and fixes to the test scripts. This can be performed as an endless activity to conclude on some particular pattern of the defect.

7. Test Script Reuse

Post the unit execution, you’ll further reuse the test script for regression test execution. In this stage, you can actually use the tweaked code. If possible, put the test suit for scheduled execution to offer you the pliability to run it within the desired time.

8. Cross-checking with UI Testing Report

Lastly, cross-check the database automation testing results with UI testing and affirm the findings made by two separate channels to require further actions.

Conclusion :

Database testing isn’t about checking data of the applications that developers have prepared. It is something that makes sure that your applications perform function faster and better. With individuals, procedures, and technologies, there are a few direct and indirect advantages of database testing.

Besides the above points, understanding the organization’s strategic and business objectives, as well as an investment in the right automation tool, is crucial before you jumpstart database testing automation to reap the benefits. We are an ERP development company that provides development services aligned with organizational goals. Our experts design ERP software solutions, using the most suitable automation and forecasting tools to drive seamless functionality and returns. Contact us for more.



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