Intelligent batch job testing
Abstract:
Apparatus and methods for an intelligent batch job testing system are provided. The system may receive a natural language request for batch job testing. The system may generate a graphical representation of a test scenario, based in part on keywords extracted from the natural language request. The graphical representation may include interconnected nodes. The graphical representation may include finite states for one or more of the nodes. The system may generate test cases based on the graphical representation. The system may access batch job data and map the data files using an optimized file layout that corresponds to the batch job data file. Feedback based on test results may be applied to modify test cases and testing protocols to improve testing accuracy.
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