International Business Machines Corporation

Ksenia Ryndina

Jochen M Kuester

Jana Koehler

Michael S Wahler

Jussi H Vanhatalo

Olaf W Zimmermann

Rainer F Hauser

A method and system for inconsistency resolution in a model-driven software development environment are provided. A method includes performing a safety analysis for resolutions in response to detected inconsistencies to determine whether the resolution, if implemented, will lead to a resolution cycle when applied to a given inconsistency. The determination includes processing a resolution tree for the inconsistency and, using a resolution strategy tree, for each resolution that resolves an inconsistency, analyzing whether beginning with the resolution, it is possible to resolve all the inconsistencies subsequently introduced as side effects without a resolution cycle occurring. The analysis includes traversing the resolution strategy tree, whereby all resolution strategies derived by traversing the resolution strategy tree lead to a resolution cycle if the resolution strategy tree is infinite. The method includes categorizing the resolution that resolves the inconsistency and applying a resolution for the inconsistency based upon the resolution category.

Method and system for inconsistency resolution with cycle detection in a model-driven software environment

A method and system for guided resolution of inter-model inconsistencies are provided. A method includes grouping inconsistencies, detected as a result of a model-driven software development process, into model partitions within a list by analyzing relationships between the underlying models and identifying model partitions that are capable of being processed independently from one another during a resolution process. The method also includes assigning priorities to models that contribute to the detected inconsistencies and inconsistency types. The method further includes reordering the list of inconsistencies to minimize the number of context switches during the resolution process and presenting, via a user interface screen, a listing of the inconsistencies and associated resolutions resulting from the reordering to the user at a client system. The user applies a selected resolution for each of the inconsistencies.

Method and system for guided inconsistency resolution in a model-driven software environment

Techniques for composition of model transformations from a predetermined set of model transformations. A state machine is provided in memory. The states are defined in the state machine in terms of predetermined model attributes. In response to specification of a target state for an input model to be transformed, an execution sequence in the state machine, between a start state corresponding to the input model and an end state corresponding to the specified target state, is selected. Each transformation in the selected sequence is then successively executed on the input model. After executing each transformation in the selected sequence, the transformed input model state is compared to the model state defined in the state machine to determine if the selected sequence is inoperable for the input model. If so, an alternative execution sequence in the state machine, between the input model state and the specified target state, is selected.

Automatic composition of model transformations

A method for modeling business transformation includes steps of: constructing a first analysis model based on at least one legacy-business-process-model; and analyzing the first analysis model in conjunction with at least one business-process-reference-model. The method further includes deriving a second analysis model in response to analyzing the first analysis model in conjunction with the at least one business-process-reference-model and refining the second analysis model to obtain a design model.

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Zurich, Switzerland

Ksenia Ryndina