Ca, Inc.

Computer Associates Think, Inc.

Sudhakar Anivella

Sreedhara Srinivasulu Narayanaswamy

A system and method for optimizing enterprise applications driven by business processes is provided. The method for optimizing business processes comprises the steps of obtaining process data, optimizing the process data using algorithms, simulating execution of one of the process data and the optimized process data, publishing the optimized process data, and deploying the published data for execution using a run time engine. In one embodiment, the simulator simulates using both process data and optimized process data. Modifications to process data can be input, and this modified data can be simulated, and also can be optimized.

Business process optimizer

A system and method for optimizing enterprise applications driven by business processes is provided. The system includes a data repository, an extractor to perform real time extraction of process life cycle information from business solutions integrating heterogeneous independent business applications, the extractor storing the extracted information in the data repository, an analyzer to identify usage patterns in the extracted information, and an optimizer to optimize the extracted information and to create exportable output usable by external tools. The analyzer can employ user-defined algorithms and/or rules to identify the usage patterns. The optimizer can use process simulation mechanism, what-if analysis, data stored in the data repository, data stored in a rule repository, and user input data, in any combination, to optimize the extracted information.

Business optimization engine that extracts process life cycle information in real time by inserting stubs into business applications

A system and method for analyzing enterprise applications driven by business processes is provided. The method for analyzing business processes comprises the steps of obtaining process data, serializing the process data, identifying patterns in the serialized process data, creating analyzed process data based on the identified patterns, and publishing the analyzed process data. In addition, the patterns can be identified using one or more of user-defined algorithms, rules, and reference process models, and the user-defined algorithms can be plug-ins. Also, information regarding the analyzed process data can be displayed.

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Hyderabad Telangana, India

Sudhakar Anivella