BizDataX version 3.4 released

by Ekobit September 29, 2017
Header release 3.4

During past few months, we have continued our work on a goal to get closer to broader audiences in clients’ organizations. With version 3.4 released today, we are bringing BizDataX core functionality closer to actual end-users of test data like, for example, testers. Testers can now start and execute the masking and other logic that produces test data by just clicking a button, action or intervention by the system administrator is no longer necessary.

Packages module in BizDataX Portal web UI

The Packages module is a new module in BizDataX Portal designed to support the functionality previously accessible through BizDataX Runtime desktop application. Portal users can now register packages, configure parameters for executions, start executions, monitor execution progress, access information about errors, performance metrics and more without leaving the web UI.

New features in Test Data Self Service module

Test Data Self Service module got support for the hierarchical organization, if you have to deal with hundreds or thousands of test cases, you can organize them in folders. Testers can define test case data requirements and execute BizDataX packages to get the test data as needed. In addition, manual entry and editing of test data are here to cover some of the corner scenarios. We have also implemented support for automatic import of test case information and test data requirements from HP ALM and other third-party tools.

Web service to support automated testing

BizDataX 3.4 has better support for automated test execution. Specifically, we have implemented a web service that enables third-party tools such as HP UFT to acquire and manipulate test data during automated test execution and without any user intervention.

User experience improvements

Just like version 3.3, version 3.4 ships with some noticeable UX improvements. The menu system on the portal is refreshed. Also, users customizing the system will notice that it is now easier to deploy extensions like custom data source analyzers, discoverers or test case importers.

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