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ILOG has introduced ILOG Rule Scenario Manager 1.0, adding testing and simulation capabilities to their Business Rule Management System (BRMS) product line. Using ILOG JRules and ILOG Rule Scenario Manager, business users can validate the accuracy of a new business policy and analyze its business impact before the policy is ever implemented. ILOG's Rule Scenario Manager gives businesses a tool to quickly and confidently respond to change while ensuring that IT can deliver on.

Developers are able to customize Rule Scenario Manager; making business data available to policy managers, as well as producing custom reports and validation scripts. The overall result of scenario testing shortens time to market for applications and their changes, as users spend less time checking changes and have greater confidence in their work.

Some of the features, include:

• Validation- Execution reports and validation templates can be used to verify results. This feature allows policy managers to write validation tests using easy-to-use Web forms.
• Simulation - Use Key Performance Indicators to visualize the impacts of changing business rules or input data sets.
• Framework flexibility - Integration into existing client applications is supported with a rich application programming interface (API) for services and extensibility. XML configuration files and schema allow developers to configure the framework. The reporting framework may be used to generate customizable reports.
• Data warehouse - Basic persistence support is provided for execution reports. Rule-set execution results can be persisted for offline processing using reporting or business intelligence tools.
• User interface - Users can interact with the scenario manager through JUnit, ANT, Eclipse or a simple policy manager Web interface.
• Reporting - Execution reports can be generated in text or Excel formats. The user can quickly view a summary of the validation history for a rule set, as well as the detailed results for a given execution test, including failures and errors.
• Nonregression of business policies - Simulation scenarios can run multiple rule sets against the same input data sets.