What does JAT - JCL Automation Tool do?
JAT - JCL Automation Tool automates the creation of test JCL (Job Control Language) and test files by extracting data and JCL structures from production environments. This allows for faster and more reliable testing of mainframe applications. It reduces the manual effort involved in setting up test environments, ensuring that tests are run against realistic data.
Is this a system, application, or tool?
JAT is a tool set designed to automate and streamline the process of creating test JCL and files. It provides functionalities for extracting, transforming, and loading data from production systems into test environments. It is not a system or an application in the traditional sense, but rather a collection of utilities focused on improving the efficiency of mainframe testing.
What types of organizations use this?
Organizations that rely heavily on mainframe systems for critical business operations and require frequent testing of JCL and batch processes will find JAT particularly useful. This includes large enterprises in industries such as banking, insurance, and finance. Companies that need to ensure the reliability and accuracy of their mainframe applications through rigorous testing are ideal candidates.
When should we consider JAT - JCL Automation Tool?
A company should consider using JAT when they face challenges in creating realistic test environments for their mainframe applications. If the manual creation of test JCL and files is time-consuming, error-prone, and hinders the testing process, JAT can provide significant benefits. It is also valuable when organizations need to ensure compliance with regulatory requirements by thoroughly testing their systems.
What are the alternatives to JAT - JCL Automation Tool?
Alternatives to JAT include manual JCL creation, using generic test data generators, or employing other mainframe testing tools with similar capabilities. Some competing products might offer broader testing functionalities beyond JCL automation, while others may focus on specific aspects of mainframe testing. Examples include tools focused on data masking or test data management.