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JCLQA's architecture is designed for efficient and reliable JCL validation on z/OS. The main components include the JCL Parser, the Rule Engine, and the Reporting Module. The JCL Parser is responsible for parsing the input JCL, extracting storage-related parameters, and creating an internal representation of the JCL.
The Rule Engine applies a set of predefined rules and user-defined configurations to validate these parameters. These rules cover various aspects, including volume and unit specifications, dataset availability, and DFSMS parameter verification. The Reporting Module generates detailed reports on any violations, providing information on the specific errors and their locations within the JCL.
The communication between these components is primarily internal, with data passed through memory. The tool uses configuration files to define validation rules, which can be customized to meet specific organizational requirements. JCLQA integrates with the z/OS environment through the use of standard system services and APIs.
The tool supports a command-line interface (CLI) for batch processing and a programmatic interface for integration with other z/OS utilities. The CLI allows users to specify the JCL dataset to be validated and the output format. The programmatic interface allows developers to embed JCLQA functionality within their applications.
JCLQA's design prioritizes performance and scalability, ensuring that it can handle large volumes of JCL efficiently. The tool's modular architecture allows for easy maintenance and updates, with new validation rules and features added as needed. Compared to manual JCL review, JCLQA offers automated, consistent validation, reducing the risk of human error and improving operational efficiency.
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