Data Generation in Test Automation

Test data generation is an integral aspect of test bed setup which can make or break your testing strategy.  Test data generation is an integral part of Test Automation.  Otherwise you risk losing the comprehensiveness and validity of your testing process.

Test Data Generation

One of the major challenges in Test Automation is comprehensive test data generation.  It could be an expensive, lengthy and complex affair with high maintenance cost to keep it up to date with each release.

Not enough test data? Test data are incomplete, old or unavailable? Missing important test scenarios? All these are problems of the past, provided you have chosen the right tools and approaches for designing your Test Automation Framework.

A Reliable and an efficient approach is to have an inbuilt engine for test data generation that can be plugged into your Test Automation jobs for continuous operation in a continuously validated environemnt.

Test Data Quality

A good set of application test data consists of values that can either be valid, invalid, complete, incomplete, null, illegal or out of range.  Library of inbuilt functions that can generate such values should be part of a robust Test Automation framework.   

Combinatorial Test Data

From two field pair to multi-field full combinatorial test data generation in traditional world is a tricky job, not only because of volume limits but also because of finding proper satisfying conditions. Using dynamic data generation with rule-based test data filtering is the most efficient way to go. If you have an inbuilt engine to do just this, it can transform the effectiveness of your Test Automation rig.

Dynamic and Random

Random generation of field values can be an effective approach to uncover blind spots in an application functionality. Use of dynamic variables to randomize test data assures you of uncovering any anomaly in the application.

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