Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.