Abstract: An example method facilitates associating data objects with elements of a process to be implemented via a process-based software application. The example method includes determining that a developer has added a particular software element to a software application being developed by the developer; accessing metadata describing the software element; and using the metadata to automatically associate the software element to one or more data objects to be used by the software element during running of the software application. A process cloud may facilitate implementing the method by automatically performing data mapping for software elements, such as approval tasks, forms, and so on, by determining appropriate task outcome data objects with reference to data characterizing a software flow of the software application, and by similarly automatically selecting and/or creating data objects for forms, which may be associated with or used by a task.

Abstract: In one implementation, a data transformation tool is configured to allow a user to specify how types of data should be mapped to another type of data in a reusable fashion. In one implementation, the data transformation tool analyzes data selected for input, the desired data output, and determines a list of potential mappings that may be used between the compliant and non-compliant systems. The mappings may be generated through transformational expressions and defined as a data wrapper. Once the definition of the one or more mappings are defined, data transformation tool generates one or more files allowing the execution of the transformation of the input data to the output data during an execution phase, such as runtime.

Abstract: Implementations described herein provide a bidirectional tool configured to provide APIs to enable a cross-cluster service handshakes and design and implementation for enabling two or more instances of an application registered to one cluster and other cluster provides for multi environment interaction. Using a common service registration, users can trigger actions on different instances of the application running in different environments such as a development environment, production environment, and the like. Using the common registration, applications can scale by having extra instances running while a centralized service works as central hub were each instance is registered. Moreover, implementations include utilizing a plurality of deployment asset management layers to establish a stateless API instantiated between point-of-delivery server arrays employed to house multiple customers separated by security partitions.

Abstract: An example method facilitates associating data objects with elements of a process to be implemented via a process-based software application. The example method includes determining that a developer has added a particular software element to a software application being developed by the developer; accessing metadata describing the software element; and using the metadata to automatically associate the software element to one or more data objects to be used by the software element during running of the software application. A process cloud may facilitate implementing the method by automatically performing data mapping for software elements, such as approval tasks, forms, and so on, by determining appropriate task outcome data objects with reference to data characterizing a software flow of the software application, and by similarly automatically selecting and/or creating data objects for forms, which may be associated with or used by a task.

Abstract: Implementations include a resource compatibility engine and method configured to verify resource compatibility when importing schemas and formats such as XSD and WSDL into a database table such as a business catalog. The resource compatibility engine may be configured to prevent possible catalog corruption from importing file types that do not match. The resource compatibility engine may also be employed to identify which are the resource file types that need to be overwritten in case of an update and provides useful feedback in case the import is not successful.

Abstract: In one implementation, a data transformation tool is configured to allow a user to specify how types of data should be mapped to another type of data in a reusable fashion. In one implementation, the data transformation tool analyzes data selected for input, the desired data output, and determines a list of potential mappings that may be used between the compliant and non-compliant systems. The mappings may be generated through transformational expressions and defined as a data wrapper. Once the definition of the one or more mappings are defined, data transformation tool generates one or more files allowing the execution of the transformation of the input data to the output data during an execution phase, such as runtime.

Abstract: An example method facilitates associating data objects with elements of a process to be implemented via a process-based software application. The example method includes determining that a developer has added a particular software element to a software application being developed by the developer; accessing metadata describing the software element; and using the metadata to automatically associate the software element to one or more data objects to be used by the software element during running of the software application. A process cloud may facilitate implementing the method by automatically performing data mapping for software elements, such as approval tasks, forms, and so on, by determining appropriate task outcome data objects with reference to data characterizing a software flow of the software application, and by similarly automatically selecting and/or creating data objects for forms, which may be associated with or used by a task.

Abstract: In one implementation, a data transformation tool is configured to allow a user to specify how types of data should be mapped to another type of data in a reusable fashion. In one implementation, the data transformation tool analyzes data selected for input, the desired data output, and determines a list of potential mappings that may be used between the compliant and non-compliant systems. The mappings may be generated through transformational expressions and defined as a data wrapper. Once the definition of the one or more mappings are defined, data transformation tool generates one or more files allowing the execution of the transformation of the input data to the output data during an execution phase, such as runtime.

Abstract: Implementations described herein provide a bidirectional tool configured to provide APIs to enable a cross-cluster service handshakes and design and implementation for enabling two or more instances of an application registered to one cluster and other cluster provides for multi environment interaction. Using a common service registration, users can trigger actions on different instances of the application running in different environments such as a development environment, production environment, and the like. Using the common registration, applications can scale by having extra instances running while a centralized service works as central hub were each instance is registered. Moreover, implementations include utilizing a plurality of deployment asset management layers to establish a stateless API instantiated between point-of-delivery server arrays employed to house multiple customers separated by security partitions.

Abstract: Implementations described herein provide a bidirectional tool configured to employ application program interfaces (APIs), cross-cluster service handshakes, and design and implementation enabling two or more instances of an application registered to one cluster and other clusters to provide multi environment interaction. Using a common service registration, users can trigger actions on different instances of the application running in different environments such as a development environment, production environment, and the like. Using the common registration, applications can scale by having extra instances running while a centralized service works as central hub were each instance is registered. Moreover, implementations include utilizing a plurality of deployment asset management layers to establish a stateless API instantiated between point-of-delivery server arrays employed to house multiple customers separated by security partitions.

Abstract: An example method facilitates associating data objects with elements of a process to be implemented via a process-based software application. The example method includes determining that a developer has added a particular software element to a software application being developed by the developer; accessing metadata describing the software element; and using the metadata to automatically associate the software element to one or more data objects to be used by the software element during running of the software application. A process cloud may facilitate implementing the method by automatically performing data mapping for software elements, such as approval tasks, forms, and so on, by determining appropriate task outcome data objects with reference to data characterizing a software flow of the software application, and by similarly automatically selecting and/or creating data objects for forms, which may be associated with or used by a task.

Abstract: In one implementation, a data transformation tool is configured to allow a user to specify how types of data should be mapped to another type of data in a reusable fashion. In one implementation, the data transformation tool analyzes data selected for input, the desired data output, and determines a list of potential mappings that may be used between the compliant and non-compliant systems. The mappings may be generated through transformational expressions and defined as a data wrapper. Once the definition of the one or more mappings are defined, data transformation tool generates one or more files allowing the execution of the transformation of the input data to the output data during an execution phase, such as runtime.

Abstract: Implementations described herein provide a bidirectional tool configured to provide APIs to enable a cross-cluster service handshakes and design and implementation for enabling two or more instances of an application registered to one cluster and other cluster provides for multi environment interaction. Using a common service registration, users can trigger actions on different instances of the application running in different environments such as a development environment, production environment, and the like. Using the common registration, applications can scale by having extra instances running while a centralized service works as central hub were each instance is registered. Moreover, implementations include utilizing a plurality of deployment asset management layers to establish a stateless API instantiated between point-of-delivery server arrays employed to house multiple customers separated by security partitions.

Abstract: Implementations include a resource compatibility engine and method configured to verify resource compatibility when importing schemas and formats such as XSD and WSDL into a database table such as a business catalog. The resource compatibility engine may be configured to prevent possible catalog corruption from importing file types that do not match. The resource compatibility engine may also be employed to identify which are the resource file types that need to be overwritten in case of an update and provides useful feedback in case the import is not successful.