Abstract: A system for decision pattern identification and application in a software engineering project includes a decision pattern miner configured to locate a plurality of decisions in a search space; a decision pattern generator configured to generate a decision pattern from the located decisions; a decision pattern repository configured to store the decision pattern; a decision pattern proposal maker configured to search the decision pattern repository for a decision pattern relevant to a decision space; and a decision pattern propagator configured to propagate the decision pattern relevant to the decision space in the decision space.

Abstract: Evaluating and prioritizing architectural design pattern alternatives for data integration is provided. A set of decision factors is derived from requirements for a system to be integrated. A default score is assigned to each decision factor based on historical data integration knowledge, and the default scores are weighted. A priority score is also assigned to each decision factor based on collected inputs from system metadata and subject matter experts in the enterprise system. Next, an individual consolidated score for each decision factor is calculated using the default score, the weighted score, and the priority score, and a total consolidated score is calculated from the individual consolidated scores for the architecture design pattern. The total consolidated score for the architecture design pattern may be compared against total consolidated scores for other architecture design patterns to determine a suitable candidate architecture design pattern for data integration.

Abstract: 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.

Abstract: Systems, methods, and computer program products for extracting port-level information of Web services with flow-based network monitoring. Exemplary embodiments include a method for extracting port-level information of Web services with flow-based network monitoring, the method including identifying a registry machine, coupling the registry machine to a traffic meter and flow monitor dynamically configuring the traffic meter, including exporting a first n bytes of a traffic payload exporting a sub-second traffic flow start and end times, extracting service provider information from traffic flow exports, including analyzing the exported n bytes of the traffic payload to extract port-level information at the flow monitor, extracting a value of an access point element, mapping a logical service provider address to a physical address and inserting the service into a Web Service Provider Registry within the flow meter, thereby populating the Web Service Provider Registry.

Abstract: Systems, methods, and computer program products for extracting port-level information of Web services with flow-based network monitoring. Exemplary embodiments include a method for extracting port-level information of Web services with flow-based network monitoring, the method including identifying a registry machine, coupling the registry machine to a traffic meter and flow monitor dynamically configuring the traffic meter, including exporting a first n bytes of a traffic payload exporting a sub-second traffic flow start and end times, extracting service provider information from traffic flow exports, including analyzing the exported n bytes of the traffic payload to extract port-level information at the flow monitor, extracting a value of an access point element, mapping a logical service provider address to a physical address and inserting the service into a Web Service Provider Registry within the flow meter, thereby populating the Web Service Provider Registry.

Abstract: A method of organizing received decision instances based on reference architecture, including determining a respective particular project phase attribute for each of the decision instances, classifying the decision instances, determining a respective scope attribute for each of the decision instances, categorizing the decision instances in accordance with each of the respective scope attributes thereof, for all decision instances with the same categorization and with the same classification, ordering the corresponding decision instances by model elements, modeling directed links between apparently dependent decision instances, analyzing the dependent decision instances to confirm that the decision instances satisfy the apparent dependencies represented by the directed links and producing an error message if a result of the analysis is negative, and generating a real-time updateable and/or modifiable to-do list interface.

Abstract: A method of actively managing software design decisions including identifying design model elements from a given requirements model, computing a design model element type for each of the design model elements, accessing reference architecture to locate one or more decision templates, confirming that a scope of the decision template is applicable to the design model element type, and if the scope of the decision template is applicable to the design model element type, generating decision instances based on the decision template to be applied to the design model element.

Abstract: 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.