Oracle International Corporation

Venkatesh Mohanram

Jorge Herreria

Rajan Mahendrakumar Modi

Muthukumar Palanisamy

Michael Hwang

Syed Najeeb Andrabi

In accordance with an embodiment, described herein are systems and methods for auto-completion of ICS flow using artificial intelligence/machine learning. Next actions prediction is a service that assists users in modeling the flows quickly by predicting and suggesting the next set of actions a user might be thinking of adding. The service also assists the user to follow some of the best practices while creating an integration flow.

System and method for next object prediction for ics flow using artificial intelligence/machine learning

A pseudo language is provided for manipulating the complex variables associated with the orchestration flow. Verbs are specified in the pseudo language. The verbs cause operations to be performed on the complex variables during processing of the orchestration flow. A first verb of the verbs is specified with a first operation of the operations The first operation, when processed, transfers data from a first set of source elements in a source complex variable to new target elements in a target complex variable based on a description of a target schema of the target complex variable. The target complex variable does not include the first subset of source elements and the target schema includes the description of the first subset of the source elements.

Providing a pseudo language for manipulating complex variables of an orchestration flow

System and method for auto-completion of ICS flow using artificial intelligence/machine learning

A source complex variable including source elements is provided. The source complex variable includes a first subset of the source elements and a second subset of the source elements. A target complex variable that includes the first subset of the source elements and does not include the second subset of the source elements is provided. A target schema of the target complex variable is provided. The target schema includes a description of the second subset of the source elements. New target elements are created in the target complex variable that correspond with the second subset of the source elements in the source complex variable. Data is transferred from the second subset of the source elements in the source complex variable to the new target elements in the target complex variable based on the description of the target schema.

Transferring data from a source complex variable to a target complex variable

An example embodiment provides a high level language (called a pseudo language herein) built on top of (or representing an abstraction layer on top of) Business Prosecution Execution Language (BPEL), which incorporates three new specialized functions, or 'verbs,' that facilitate developer friendly operations that are readily validated during design time using schema awareness, and that enable schema-aware implementations of complex variable modifications during runtime. The pseudo language and accompanying verbs (e.g., append, assign, remove), in combination with both design time and runtime awareness of the schema of the complex variables involved in a given operation, facilitate manipulation of data in complex variables at different steps of an orchestration flow; enable developers to selectively and efficiently update fields or elements of a complex variable without risking inadvertent loss of data in the complex variable during runtime; enable specific modification of leaf nodes of complex variables while leaving parent variables intact; and so on, while further removing or mitigating various design-time validation steps or responsibilities that developers currently have when implementing orchestration flows.

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Bengaluru, India

Venkatesh Mohanram