Test Data Management
So it pays to get data management right.
Effective test data creation will address issues of disk space, data verification, data confidentiality and protracted test durations. Control and management of test data ensures that every test starts with a consistent data state which is essential in maintaining your data in a predictable state at the end of the test.
Checking both visible test results and the database effects is a key principle of AQM (Application Quality Management), a task which is practically impossible to accomplish manually.
Test data is the static or transactional information that is used during the testing process.
Test data management then refers to the organisation of this data to ensure it is input correctly and the results are also reported correctly. It also plays a pivotal role in ensuring that sensitive information is processed securely during the testing phase. As the testing process can generate high volumes of data, having a clear management structure in place is key to prevent costly and time-consuming errors and this structure can also help testers clearly understand responsibilities.
Effective test data management will include processes for report generation and sharing along with the identification of new data to be tested and the safe archiving of previously tested data. It also enables development teams fast and easy access to the data as and when it’s needed, which can expedite the process of getting the finished product to market.
The main benefits of test data management are found in time saving and test coverage. If test data is easily and quickly available then the overall QA lifecycle can be completed faster. This leads to a quicker route to market or more time for extensive testing thereby improving quality. By using test data management, the data used is more accurate and this leads to more ‘live’ type defects being found before release and allows more realistic test cases to be used. If test data can be correctly cut down to include only the essential data then more environments can be created to complete the testing without the need for expensive hardware upgrades.
Regulatory compliance and data protection laws continue to have an ever greater impact upon the ways that companies do business. The various data confidentiality and control measures all carry with them serious penalties including fines and imprisonment.
TestBench, from Original Software, supports AQM with a suite that uniquely controls, tests and manages the data required for effective testing together with the server-side effects of the test. Testing on live data is now a thing of the past with the creation of subsets that retain referential integrity, providing a perfect miniature copy of the live environment. Data scrambling and de-sensitivity along with auto-analysis, data manipulation and extraction reports for auditing means you can be confident your testing processes with be fully compliant with all regulatory controls.
Data Strategies for Application Testing – A Best Practice Guide
This best practice guide explores strategies and techniques which have been used to improve both test data management efficiency and software quality based on Series i, Oracle and SQL databases, utilizing methods to create, manage and validate databases.
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