Allocated test data: Avoid conflicts with allocated datasets

Testing environments often encounter conflicts when multiple testers or automated tests share the same datasets. This can lead to inconsistent results, as a dataset might be reused or changed mid-test. To solve this, Sixpack assigns each dataset exclusively to one tester or automated test at a time, ensuring smooth, conflict-free testing.

What is allocated test data?

Allocated test data refers to datasets generated specifically for one tester or test, without sharing across multiple tests. By generating unlimited synthetic test data, each dataset is assigned to a single person or system, avoiding overlap and maintaining consistency throughout the test. This ensures that no dataset is reused or altered mid-test, improving the reliability of test results.

Why allocated test data matters?

When datasets are shared among testers, there is a risk of modifications occurring during a test or data being reused inappropriately, leading to conflicting results. Allocating test data prevents these issues by ensuring that each dataset is assigned exclusively. This helps maintain data integrity and keeps testing accurate and reliable.

How allocated test data improves testing?

Using allocated test data offers multiple advantages:

• No overlap or conflicts: Each dataset is assigned to one tester or system, preventing multiple tests from accessing the same data simultaneously.
• Consistent results: Since datasets are not modified during testing, results remain accurate and stable throughout the testing process.
• Unlimited scalability: With a synthetic test data platform like Sixpack, you can generate unlimited synthetic test data and assign datasets as needed, supporting large-scale testing without issues related to data management.

Conclusion

Allocated test data is a simple but effective way to prevent conflicts in testing environments. By assigning dedicated datasets to each tester or automated test, you can avoid the risk of shared or modified data impacting your results. Sixpack's synthetic test data platform enables easy generation and allocation of datasets, making your testing process smoother and more reliable.