Abstract: Executing a business process can include providing a context data object including a payload data structure for storing a payload data and automatically splitting an annotated context data object into one or more utility data objects. Responsive to creating a second utility data object, a pre-processing task can be injected into the business process, the pre-processing task using a copy of a first mapping to read data from the predefined data structure instance and to store the read data as payload data in the payload data structure of the first utility data object. Responsive to creating a third utility object, a post-processing task can be injected into the business process. The post-processing task can use a copy of the second mapping to write the payload data of the first utility data object to elements of a predefined data structure instance.

Abstract: Executing a business process can include providing a context data object including a payload data structure for storing a payload data and automatically splitting an annotated context data object into one or more utility data objects. Responsive to creating a second utility data object, a pre-processing task can be injected into the business process, the pre-processing task using a copy of a first mapping to read data from the predefined data structure instance and to store the read data as payload data in the payload data structure of the first utility data object. Responsive to creating a third utility object, a post-processing task can be injected into the business process. The post-processing task can use a copy of the second mapping to write the payload data of the first utility data object to elements of a predefined data structure instance.

Abstract: Executing a business process can include providing a context data object including a payload data structure for storing a payload data and automatically splitting an annotated context data object into one or more utility data objects. Responsive to creating a second utility data object, a pre-processing task can be injected into the business process, the pre-processing task using a copy of a first mapping to read data from the predefined data structure instance and to store the read data as payload data in the payload data structure of the first utility data object. Responsive to creating a third utility object, a post-processing task can be injected into the business process. The post-processing task can use a copy of the second mapping to write the payload data of the first utility data object to elements of a predefined data structure instance.

Abstract: For migrating process instances, first input information describing changes between a first process template and a second process template is received. Second input information describing grouping of said changes is also received. A set of combinations of the first process template and the second process template is determined by applying the changes to the first process template in complete groups as defined by the second input information.

Abstract: For migrating process instances, first input information describing changes between a first process template and a second process template is received. Second input information describing grouping of said changes is also received. A set of combinations of the first process template and the second process template is determined by applying the changes to the first process template in complete groups as defined by the second input information.

Abstract: For migrating process instances, first input information describing changes between a first process template and a second process template is received. Second input information describing grouping of said changes is also received. A set of combinations of the first process template and the second process template is determined by applying the changes to the first process template in complete groups as defined by the second input information.

Abstract: Business processes that may be affected by events, conditions or circumstances that were unforeseen or undefined at modeling time (referred to as unforeseen events) are modeled and/or executed. Responsive to an indication of such an event during process execution, a transfer is performed from the process, in which selected data is stored and the process is terminated. The selected data may then be used by a target process. The target process may be, for instance, a new version of the same process, the same process or a different process. The target process may or may not have existed at the time the process was deployed.

Abstract: Executing a business process can include providing a context data object including a payload data structure for storing a payload data and automatically splitting an annotated context data object into one or more utility data objects. Responsive to creating a second utility data object, a pre-processing task can be injected into the business process, the pre-processing task using a copy of a first mapping to read data from the predefined data structure instance and to store the read data as payload data in the payload data structure of the first utility data object. Responsive to creating a third utility object, a post-processing task can be injected into the business process. The post-processing task can use a copy of the second mapping to write the payload data of the first utility data object to elements of a predefined data structure instance.

Abstract: A method, system, and computer program product for controlling access to and manipulation of a data object by different data object users. An example method includes determining a current user role of a current user requesting interaction with the data object. The method also includes determining a current lifecycle state of the data object. The method further includes restricting, by a computer processor, interaction with the data object by the current user based on at least the current user role of the current user and the current lifecycle state of the data object.

Abstract: Executing a business process can include providing a context data object including a payload data structure for storing a payload data and automatically splitting an annotated context data object into one or more utility data objects. Responsive to creating a second utility data object, a pre-processing task can be injected into the business process, the pre-processing task using a copy of a first mapping to read data from the predefined data structure instance and to store the read data as payload data in the payload data structure of the first utility data object. Responsive to creating a third utility object, a post-processing task can be injected into the business process. The post-processing task can use a copy of the second mapping to write the payload data of the first utility data object to elements of a predefined data structure instance.

Abstract: Executing a business process can include providing a context data object including a payload data structure for storing a payload data and automatically splitting an annotated context data object into one or more utility data objects. Responsive to creating a second utility data object, a pre-processing task can be injected into the business process, the pre-processing task using a copy of a first mapping to read data from the predefined data structure instance and to store the read data as payload data in the payload data structure of the first utility data object. Responsive to creating a third utility object, a post-processing task can be injected into the business process. The post-processing task can use a copy of the second mapping to write the payload data of the first utility data object to elements of a predefined data structure instance.

Abstract: For migrating process instances, first input information describing changes between a first process template and a second process template is received. Second input information describing grouping of said changes is also received. A set of combinations of the first process template and the second process template is determined by applying the changes to the first process template in complete groups as defined by the second input information.

Abstract: For migrating process instances, first input information describing changes between a first process template and a second process template is received. Second input information describing grouping of said changes is also received. A set of combinations of the first process template and the second process template is determined by applying the changes to the first process template in complete groups as defined by the second input information.

Abstract: Executing a business process can include providing a context data object including a payload data structure for storing a payload data and automatically splitting an annotated context data object into one or more utility data objects. Responsive to creating a second utility data object, a pre-processing task can be injected into the business process, the pre-processing task using a copy of a first mapping to read data from the predefined data structure instance and to store the read data as payload data in the payload data structure of the first utility data object. Responsive to creating a third utility object, a post-processing task can be injected into the business process. The post-processing task can use a copy of the second mapping to write the payload data of the first utility data object to elements of a predefined data structure instance.

Abstract: Executing a business process can include providing a context data object including a payload data structure for storing a payload data and automatically splitting an annotated context data object into one or more utility data objects. Responsive to creating a second utility data object, a pre-processing task can be injected into the business process, the pre-processing task using a copy of a first mapping to read data from the predefined data structure instance and to store the read data as payload data in the payload data structure of the first utility data object. Responsive to creating a third utility object, a post-processing task can be injected into the business process. The post-processing task can use a copy of the second mapping to write the payload data of the first utility data object to elements of a predefined data structure instance.

Abstract: Business processes that may be affected by events, conditions or circumstances that were unforeseen or undefined at modeling time (referred to as unforeseen events) are modeled and/or executed. Responsive to an indication of such an event during process execution, a transfer is performed from the process, in which selected data is stored and the process is terminated. The selected data may then be used by a target process. The target process may be, for instance, a new version of the same process, the same process or a different process. The target process may or may not have existed at the time the process was deployed.

Abstract: Activities within a workflow are either data management activities (DMAs) or non-DMAs. A workflow is typically carried out by a system by executing one activity after the other. This can, however, be very time consuming. A method and system are provided for optimizing a group of activities (GOA) comprising a DMA, whereby the GOA is comprised in the workflow to improve the overall performance. The method determines the DMAs, and for each DMA, a data level statement (DLS). The GOA is determined and a process graph model (PGM) is determined from the GOA so that the DLS is comprised in the PGM and the semantics of the PGM are identical to those of the GOA. The PGM is optimized for which an optimized GOA is determined. The semantics of the optimized GOA are identical to those of the GOA. In the workflow, the GOA is replaced by the optimized GOA.

Abstract: A method, system, and computer program product for controlling access to and manipulation of a data object by different data object users. An example method includes determining a current user role of a current user requesting interaction with the data object. The method also includes determining a current lifecycle state of the data object. The method further includes restricting, by a computer processor, interaction with the data object by the current user based on at least the current user role of the current user and the current lifecycle state of the data object.

Abstract: The current invention relates to a technology for processing of compensation scopes comprised within atomic scopes of a process model by a Workflow Management System or a computer system with comparable functionality (WFMS). The method comprises a step of checking whether the atomic scope of the process instance of that process model has been aborted abnormally. If this is the case, in a further step it is analyzed if in the process model the compensation scope has been associated with a specific atomic scope behavior specification, defining a specific abort handling for the compensation scope in the particular case that the compensation scope is comprised within an atomic scope and the atomic scope has been aborted. In a final step the compensation scope is processed according to the specific atomic scope behavior specification.

Abstract: Techniques are provided for processing a workflow. A workflow including one or more data management activities is received. A workflow description is generated from the workflow that includes a description of the one or more data management activities. One or more data management operations are generated from the workflow description. The one or more data management operations are executed against one or more data management systems.