Abstract: The generating of actionable recommendations for tuning model metrics of an Artificial Intelligence (AI) system includes partitioning a key performance indicator (KPI) range associated with a target system into a plurality of buckets. Log data including at least one KPI of the target system and one or more AI model metrics is partitioned and distributed across the plurality of buckets. For each bucket, an aggregate value of the one or more AI model metrics across the log data is computed and weighted according to the volume of log data in that bucket. A correlation factor between the aggregate value and a representative KPI value for each bucket is determined. A model tuning recommendation to increase ranking of the AI model metrics according to the determined correlation factor is provided to an output device and/or to the AI system for updating the one or more AI model.

Abstract: The generating of actionable recommendations for tuning model metrics of an Artificial Intelligence (AI) system includes partitioning a key performance indicator (KPI) range associated with a target system into a plurality of buckets. Log data including at least one KPI of the target system and one or more AI model metrics is partitioned and distributed across the plurality of buckets. For each bucket, an aggregate value of the one or more AI model metrics across the log data is computed and weighted according to the volume of log data in that bucket. A correlation factor between the aggregate value and a representative KPI value for each bucket is determined. A model tuning recommendation to increase ranking of the AI model metrics according to the determined correlation factor is provided to an output device and/or to the AI system for updating the one or more AI model.

Abstract: A system, apparatus and a method for constructing pipelines, including enumerate a subspace of valid integrated pipelines, collecting a set of metrics for each of the plurality of pipelines, reducing the set of metrics to a single metric, selecting a final integrated pipeline from among the valid integrate pipelines based on reduced metric.

Abstract: A system and method are provided for communicating information in a data structure between applications. According to the method, a description of a data structure is sent from a first application to a second application, and there is received from the second application an identification of at least one portion of the data structure that is requested by the second application. The first application marshals a subset of the data structure consisting of the at least one portion that was identified, and there is sent from the first application to the second application the marshalled subset of the data structure.

Abstract: A system and method are provided for communicating information in a data structure between applications. According to the method, a description of a data structure is sent from a first application to a second application, and there is received from the second application an identification of at least one portion of the data structure that is requested by the second application. The first application marshals a subset of the data structure consisting of the at least one portion that was identified, and there is sent from the first application to the second application the marshalled subset of the data structure.

Abstract: A system and method are provided for communicating information in a data structure between applications. According to the method, a description of a data structure is sent from a first application to a second application, and there is received from the second application an identification of at least one portion of the data structure that is requested by the second application. The first application marshals a subset of the data structure consisting of the at least one portion that was identified, and there is sent from the first application to the second application the marshalled subset of the data structure.

Abstract: A method, system and program product for minimizing unwanted synchronizations in a multithreading program. Program functions in a multithreading program that should not be synchronized are identified as input tails, e.g., manually identified. An invocation graph is constructed for the multithreading program with nodes identified as head nodes and tail nodes that correspond to the input tails. Synchronization information is collected for each node of the invocation graph. Sources of synchronization in the invocation graph are represented as source nodes. All paths from head nodes to tail nodes through at least one source node are identified.

Abstract: A method for regulating communication of information in a data structure between components of a computer program is disclosed. The method includes reading a computer program and automatically identifying fields of a data structure that must be transmitted from a first component of the computer program to a second component of the computer program. The method further includes generating a routine that indicates the fields of the data structure that were identified. The method further includes requiring the first component to execute the routine when sending the data structure to the second component, such that the first component only marshals the fields of the data structure that are indicated by the routine.

Abstract: A method for communicating information in a data structure between applications includes receiving a request from a first application for sending information in a data structure to a second application. The method further includes reading information from a run-time environment of the first application and identifying, based on the information, portions of the data structure to send. The method further includes marshalling the portions of the data structure that were identified and sending the portions of the data structure that were marshalled to the second application.

Abstract: A method, computer program product, and a data processing system for identifying a shared resource usage violation in a data processing system is provided. A set of resources are assigned to a resource group. A usage policy is defined that is associated with the resource group. A usage state associated with a resource of the resource group is compared with a threshold defined by a policy associated with the resource group. A determination is made if usage of the resource is in violation of the policy.

Abstract: The present invention provides a method, apparatus, and computer instructions for program analysis. In an exemplary embodiment, a target program is loaded onto a data processing system including a program analysis software component. Hierarchies in the form of control flow and containment information about the target program are determined, using either static or dynamic, and direct (e.g., instrumented profilers) or indirect (e.g., monitored runtime), processing techniques, depending on the application and program analysis tool being used. The control flow and object containment information are then presented in a related and selected format for consideration by a user. One embodiment includes a program and GUI (graphical user interface) operably providing control flow-annotated object containment hierarchies to a user, the hierarchies including control flow, allocation and storage information added to object containment information.

Abstract: Disclosed are a tool and method for monitoring the behavior of a running computer program. The tool observes the behavior of a running program within the context of a large number of defined coding patterns, and automatically flags violations of the coding patterns when they occur. These defined coding patterns can include best practice patterns and problematic coding patterns. The tool, in the preferred embodiment of the invention, does this using a standard debugger to enforce the best practices rules. This is advantageous because debuggers contain the type of information needed both to enforce the rules and to explain the violations of the rules. Moreover, because debuggers are standard tools in developers' arsenal, little or no additional training is required for the user of the tool to detect subtle software defects.

Abstract: A system and method for providing “static analysis” of programs to aid in improving runtime performance, stability, security and privacy characteristics of deployed application code. The method includes performing a set of analyses that sifts through the program code and identifies programming security and/or privacy model coding errors. In particular the invention focuses on identifying coding errors that cause loss of correctness, performance degradation, security, privacy and maintainability vulnerabilities. A deep analysis of the program is performed using detailed control and data flow analyses. These deeper analyses provide a much better perspective of the overall application behavior. This deep analysis is in contrast to shallow analyses in current industry tools, which inspect or model a single or a few classes at a time.

Abstract: An enterprise process model that comprises a plurality of actors, actions performed by said actors, objects acted upon by said actions, and roles. Data characterizing the view of the attributes of at least one of the objects of the model is generated by associating a plurality of situation/role pairs with the at least one object; and then, for each particular situation/role pair, defining a view definition for subsequent use. In another aspect of the present invention, an enterprise application for use in an information system that comprises diverse software services and hardware platforms is generated by providing a model of the enterprise process, wherein the model comprises a plurality of actors, actions performed by said actors, objects acted upon by said actions, and roles. A configuration defining software services and hardware platforms that support the model is generated. Finally, program fragments that support the model are generated.

Abstract: An enterprise process model that comprises a plurality of actors, actions performed by said actors, objects acted upon by said actions, and roles. Data characterizing the view of the attributes of at least one of the objects of the model is generated by associating a plurality of situation/role pairs with the at least one object; and then, for each particular situation/role pair, defining a view definition for subsequent use. In another aspect of the present invention, an enterprise application for use in an information system that comprises diverse software services and hardware platforms is generated by providing a model of the enterprise process, wherein the model comprises a plurality of actors, actions performed by said actors, objects acted upon by said actions, and roles. A configuration defining software services and hardware platforms that support the model is generated. Finally, program fragments that support the model are generated.