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Websphere ILOG Decision Validation Services for z/OS

IBM Not Supported z/OS
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Product Overview

The architecture of Websphere ILOG Decision Validation Services for z/OS comprised several key components. The Rule Execution Server was responsible for executing business rules. The Decision Validation component provided the functionality for testing and simulating rule execution.

The product used a relational database to store rule definitions, test data, and validation results. The communication between components was facilitated through protocols such as HTTP and SOAP. The administrative interfaces included a web console and a command-line interface (CLI).

The product integrated with ILOG Rule Team Server, allowing users to access and test rules directly from the server. The product is no longer supported; IBM Operational Decision Manager is a direct replacement.

Frequently Asked Questions

What was the primary function of Websphere ILOG Decision Validation Services for z/OS?

Websphere ILOG Decision Validation Services for z/OS provided testing and simulation capabilities for business rules. It allowed users to validate rule execution and analyze the impact of changes before deployment. The product was designed to integrate with Rule Team Server.

How did users utilize the product in their workflow?

The product was used to test and validate business rules defined within the ILOG Rule Team Server environment. It enabled users to simulate rule execution with different data sets and scenarios. This helped in ensuring the correctness and efficiency of business rules.

What were the key integration points for the product?

The product integrated with ILOG Rule Team Server, allowing users to access and test rules directly from the server. It also supported integration with other applications through APIs, enabling rule validation within broader business processes.

What benefits did the product offer in terms of rule validation and testing?

The product was designed to help users identify and resolve issues in their business rules before deployment. This included detecting errors, validating rule logic, and analyzing the impact of rule changes. This helped to reduce the risk of errors in production environments.

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