International Business Machines Corporation

John Anthony Beaven

Ian Robinson

Martin Mulholland

Amanda Elizabeth Chessell

David John Vines

Iain Stuart Caldwell Houston

Catherine Susan Griffin

Logan M Colby

Alexandra Mulholland

Robert J Maddison

Rajasinghe S Gunaratne

A processor-implemented method, system, and/or computer program product maintain integrity of output of a code generator. One or more processors determine a generated output that has been generated by a specific code generation application based on an original model, where the original model is a structured model used to construct a software program. The generated output is analyzed to infer contents of an inferred version of the original model. The inferred version of the original model is compared with a current version of the original model to detect differences in source elements. Detected differences are thus used to identify redundant elements in the generated output.

Maintaining integrity of output of code generators

The present invention provides a framework, such as an extension to the CORBA Activity Service, on which a service can propagate data with remote flows between processes. The service registers, with the framework, a requirement to be given the opportunity to propagate data with any outbound flow. As part of the registration the service specifies a name by which it is to be known. During processing of any outbound remote flow the framework creates a context, obtains data to propagate from the registered service, and adds the data and name of the service to the context for inclusion with the remote flow. In the receiving process the framework finds the name and data in the context and passes the data to a service registered with the same name. The framework may support a plurality of registered services in any given process.

Data propagation in an activity service

Disclosed is apparatus for processing business data processing activities, the apparatus comprising: an activity instance; and a descriptor for the activity instance associated uniquely with the activity instance; wherein the descriptor includes parameters for determining lifecycle behaviors of said activity instance. The descriptor may be programmable to modify the lifecycle behaviors according to a use made of said activity instance. The use of the activity instance may be responsive to a request by a client. It may also be responsive to a request by an activity instance. The descriptor may be programmable to modify the lifecycle behaviors according to a position in a system hierarchy of the activity instance.

Data processing activity lifecycle control

Disclosed is data processing apparatus comprising: means for receiving inputs indicative of results from one or more participants of said one or more sets of data processing tasks; means for mapping each of said inputs to a corresponding mapped value by accessing a mapping table; outcome processor means for accepting the mapped values as inputs and determining an outcome for said one or more sets of data processing tasks; and means, responsive to said means for determining, for transmitting an indicator of said outcome to said one or more participants; wherein the inputs and mapped values of the mapping table are programmably changeable to thus provide a high degree of flexibility with respect to said inputs.

Replaceable outcome decider

A data processing system comprising an object framework, and a plurality of components for supporting an application program utilizing the plurality of components. In the object framework, each of the plurality of components registers with the object framework. Then, in response to the registering, each of the plurality of components is associated with one of a plurality of context groups. Furthermore, each of the plurality of components creates an instance of itself. A first instance is associated with a first context group of a first respective component and a second instance is associated with a second context group of a second respective component. The first instance and the second instance operate independently of each other.

System, method and computer program for application support in a data processing system

A data processing apparatus has a direct access non-volatile memory storage device having a plurality of extent files for storing log records therein; an allocating unit for allocating a current extent file to be used for storing log records; a writing unit for writing log records into the current extent file until the current extent file cannot store any further log records; and a key-pointing unit for performing a key-pointing operation on the written log records when the writing unit has reached the point where no further log records can be stored in the current extent file.

Data processing apparatus, method and computer program with optimized key-pointing operation for log record storage

A data processing apparatus ( , FIG. ) has a direct access non-volatile storage device ( ) on which log records are stored in one or more log files. The processor ( ) allocates storage for the log based on possible future requirements. The processor sets the maximum amount of new data that can be written to the log before a key-point operation is performed. When the maximum is reached a key-point is performed. As a result the maximum possible size of the active data written as part of the next key-point can be calculated and storage is allocated accordingly. Should storage become restricted such that the required storage cannot be allocated the data processing apparatus runs in a restricted mode during which the records that are written to the log are concerned with reducing the size of the active data and therefore the next key-point. In transaction processing this is achieved by: not starting new transactions; not allowing transactions to involve new participants; and only allowing transactions to complete.

Log storage management in a data processing system using key-pointing

A data processing apparatus for carrying out a specific business logic data processing task, has a plurality of business activities running on at least one data processing machine, each activity communicates with other activities via a communications protocol in order to carry out the specific business logic data processing task. At least one of the activities includes a plurality of message broker data processing nodes.

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Romsey, United Kingdom

John Anthony Beaven