Reduce the effort to create and maintain your automation datasets
Use BotzAutomation’s robust data management modules for enterprise-wide multi-layer data provisioning, handling and maintenance to reduce maintenance effort, avoid duplicate dataset creation and have multiple flows rely on a single dataset.
Test data management capabilities with BotzAutomation
Datasets are created under each components. When there is a change in the target application or test data, only the component datasets need to be updated – making it easier to manage, review and update.
Flow-level data is created using the component dataset. Since the system relies on this dataset, any change in data does not impact the flow or flow datasets – reducing the time and effort to keep automation tests updated.
Like a data dictionary, users can map a data column to their component data. This system makes it even easier to manage and update the data, especially for Large Integrations /API Test Cases.
Runtime Data Handling
Use data and responses produced during test executions to reduce the effort to create tests for upcoming flows in large executions.
Dynamic Data Provision
Reduce the time to develop data for tests by using the application to generate dynamic data or use the preload functions to create data without duplication.
Response Data Usage
Increase the depth of your tests by using the pre-built functions to generate, manipulate and parse values from responses and use in flows.
Execution Data Scope
Make it easier to identify issues by executing in multiple modes, such as fluent, orchestration, dependency, parallel and sequential modes, and reviewing the data which is generated in each execution mode.
What makes BotzAutomation’s test management different?
Unlike other tools, where the user must update the data in each test case when there is a change, BotzAutomation’s use of a component-level dataset creates a “single source of truth” for the data which reduces the time and effort to maintain test cases when there is a change.