Database is undoubtedly a critical element for each application. Even companies like an e-commerce service provider, pharmaceutical establishments also as banking and insurance corporations utilize large sets of the database. They then got to have an indestructible and coherent database system is important which may be achieved through dedicated database testing in situ by independent software testing companies.
Test automation through independent software testing companies helps in performing the proper data checks within the optimum time frame and budget. However, to make sure there are not any database crashes, failovers, broken insertions or deletions, one must create a sound database test automation strategy. This will be achieved by following the proper steps.
1. Identification of Scope
The first thing is to spot what must be covered in database testing, what are often excluded, and which all data sets are impacting the software performance. Supported by this identification, aspects like data verification, schema verification, health checks, database guideline checks, security checks and tons more are often clubbed together within the scope of testing.
2. Test Script Preparation
The next step is to organize the test scripts which needs you to grab needful SQL queries to be executed, identify conditional flows and prepare automation scripts. While readying test scripts, it’s imperative to keep a version of test scripts in mind for future use and also make their code maintenance-friendly right at the initial stage.
3. Test suit Identification
This step needed to highlight priority test cases to hold out data checks with a query to question or query to previously stored data. It requires you to make needful batches just 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 are often done till row-level comparison.
4. Execution
In this step, you would like to execute scripts that you simply have prepared or tweak them to perform needless to say. You’ll add needful conditional flows, loop around to use an equivalent case for multiple sets of knowledge and make them more robust. While execution, also makes sure you think about the test environment to get accurate test results.
5. Reporting
Once the execution is conducted, you might want to monitor the result of the execution. You’ll probe the detailed analytics and generate reports for managers and developers to require necessary actions. Furthermore, you’ll also make a provision to safeguard the reports within the format of your choice for any future evaluation and analytics.
6. Post Execution Monitoring
Post the execution and reporting, monitor the test results to spot the trends and make necessary tweaks and fixes to the test scripts. this will be performed as an endless activity to conclude on some particular pattern of the defect.
7. Test Script Reuse
Post the unit execution, which will further be reused for the test script for regression test execution. during this stage, you’ll actually use the tweaked code. If possible, you’ll also put a 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.
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