Abstract: A graphical interface module may provide a set of graphical presentations comprising at least: a Likelihood of Delivery chart showing a probability distribution of predicted delivery dates; a Delivery Date Risk Trend chart showing how the completion time for the project predicted according to the Likelihood of Delivery chart has changed over time; and a Burndown chart that shows at least work-items of planned work for the project. Each of the Likelihood of Delivery chart, the Delivery Date Risk Trend chart, and the Burndown chart has a timeline axis.

Abstract: Incorporating user insights in predicting, diagnosing and remediating problems that threaten on-time delivery of a project may comprise gathering information. The information may be conveyed to one or more users. A user may be allowed to input a new value associated with the project, the new value assessed based on the information and representing an expert assessment of the information. The user may be allowed to also indicate a period of time the user considers the information to be applicable. The new value and the period of time may be incorporated into data used in a prediction algorithm that predicts probability distribution of completion time of the project as the project is progressing.

Abstract: Historic and current development data associated with the project may be gathered. A catalog of patterns, each pattern associated with a data measure and an analysis routine capable of detecting the pattern according to the data measure in a given data set may be obtained. A pattern describes a particular indication in the historical and development data, which arises one or more of, at a discrete point in time or over a period of time. The analysis routine may be applied to the historic and current development data. A notification may be issued responsive to identifying the pattern in the historic and current development data. The applying and the issuing may be performed for each pattern in the catalog of patterns.

Abstract: A user may be allowed to specify a change in one or more parameter data associated with the project, the one or more parameter data used previously to compute a probability distribution of completion time of the project. The probability distribution of completion time of the project may be recomputed based on the change. The recomputed probability distribution of the completion time of the project may be presented. An option to save the recomputed probability distribution may be provided. An option may be provided to specify another change in one or more parameter data associated with the project and repeat the recomputing and the presenting procedures based on another change in one or more parameter data associated with the project.

Abstract: Interactive iterative program parallelization based on dynamic feedback program parallelization, in one aspect, may identify a ranked list of one or more candidate pieces of code each with one or more source refactorings that can be applied to parallelize the code, apply at least one of the one or more refactorings to create a revised code, and determine performance data associated with the revised code. The performance data may be used to make decisions on identifying next possible ranked list of refactorings.

Abstract: A task effort estimator may determine a probability distribution of an estimated effort needed to complete unfinished tasks in a project based on one or more of a set of completed tasks belonging to a project and attributes associated with the completed tasks belonging to the project, a set of completed tasks not belonging to the project and attributes associated with the completed tasks not belonging to the project, or the combination of both. A project completion predictor may determine a probability distribution of completion time for the project based on the probability distribution of an estimated effort needed to complete the unfinished tasks in the project, and one or more resource and scheduling constraints associated with the project.

Abstract: Adaptive profiling for performance analysis of a computer system controls one or more agents to monitor a plurality of events occurring in a target computer system based on an adaptive logic. Collected data may be filtered and analyzed to determine one or more contributor events that attribute to performance of the target computer system. One or more patterns are observed or detected in said collected data, behavior of said one or more agents are adjusted based on said detected one or more patterns. The adaptive logic may be further reconfigured based on said detected one or more patterns.

Abstract: A requesting critical wait time of a given resource may be determined. The requesting critical wait time is the time spent by the one or more resources waiting for the given resource, wherein at least one of the resources waiting for the given resource can proceed if access to the given resource is granted. A requested by critical wait time for a resource is determined, the requested by critical wait time being time spent by the resource for waiting solely for the given resource, wherein if the resource were granted access to the given resource, the resource can proceed without further waiting.

Abstract: Interactive iterative program parallelization based on dynamic feedback program parallelization, in one aspect, may identify a ranked list of one or more candidate pieces of code each with one or more source refactorings that can be applied to parallelize the code, apply at least one of the one or more refactorings to create a revised code, and determine performance data associated with the revised code. The performance data may be used to make decisions on identifying next possible ranked list of refactorings.

Abstract: A computer-implemented method, computer program product and data processing system to improve runtime performance of executable program code when executed on the data-processing system. During execution, data is collected and analyzed to identify runtime behavior of the program code. Heuristic models are applied to select region(s) of the program code where application of a performance improvement algorithm is expected to improve runtime performance. Each selected region is recompiled using selected performance improvement algorithm(s) for that region to generate corresponding recompiled region(s), and the program code is modified to replace invocations of each selected region with invocations of the corresponding recompiled region. Alternatively or additionally, the program code may be recompiled to be adapted to characteristics of the execution environment of the data processing system.

Abstract: A requesting critical wait time of a given resource may be determined The requesting critical wait time is the time spent by the one or more resources waiting for the given resource, wherein at least one of the resources waiting for the given resource can proceed if access to the given resource is granted. A requested by critical wait time for a resource is determined, the requested by critical wait time being time spent by the resource for waiting solely for the given resource, wherein if the resource were granted access to the given resource, the resource can proceed without further waiting.

Abstract: A method and system for error detection in programs with collective synchronization and/or procedures are provided. In one aspect, the method and system may use interprocedural analysis for matching synchronizations in a program in order to detect synchronization errors, and, if no such errors exist, may determine the synchronization phases of the program. The method and system in one aspect may use a combination of path expressions and interprocedural program slicing to match the synchronization statements that may execute along each program path. If the synchronization matching succeeds, the method and system in one aspect may determine the sets of synchronization statements that synchronize together. A matching failure may indicate the presence of a synchronization error and the method and system in one aspect may construct a counter example to illustrate the error.

Abstract: Adaptive profiling for performance analysis of a computer system controls one or more agents to monitor a plurality of events occurring in a target computer system based on an adaptive logic. Collected data may be filtered and analyzed to determine one or more contributor events that attribute to performance of the target computer system. One or more patterns are observed or detected in said collected data, behavior of said one or more agents are adjusted based on said detected one or more patterns. The adaptive logic may be further reconfigured based on said detected one or more patterns.

Abstract: A method for vertical integrated performance and environment monitoring includes steps, or acts, of: defining one or more events to provide a unified specification; registering one or more events to be detected; detecting an occurrence of at least one of the registered event or events; generating a monitoring entry each time one of the registered events is detected; and entering each of the monitoring entries generated into a single logical entity.

Abstract: A system and method for mapping application tasks to processors in a computing environment that takes into account the hardware communication topology of a machine and an application communication pattern. The hardware communication topology (HCT) is defined according to hardware parameters affecting communication between two tasks, such as connectivity, bandwidth and latency; and, the application communication pattern (ACP) is defined to mean the number and size of bytes that are communicated between the different pairs of communicating tasks. By collecting information on the messages exchanged by the tasks that communicate, the communication pattern of the application may be determined. By combing the HCT and ACP a cost model for a given mapping can be determined.

Abstract: A method and system for error detection in programs with collective synchronization and/or procedures are provided. In one aspect, the method and system may use interprocedural analysis for matching synchronizations in a program in order to detect synchronization errors, and, if no such errors exist, may determine the synchronization phases of the program. The method and system in one aspect may use a combination of path expressions and interprocedural program slicing to match the synchronization statements that may execute along each program path. If the synchronization matching succeeds, the method and system in one aspect may determine the sets of synchronization statements that synchronize together. A matching failure may indicate the presence of a synchronization error and the method and system in one aspect may construct a counter example to illustrate the error.

Abstract: A method for modeling the performance of memory address translation mechanism (MATM), comprises: a) receiving an execution profile that contains a memory address reference stream of an application, a set of page size mappings, and events about the application's data allocations and de-allocations; b) translating each memory reference in the input memory reference stream into a reference to the corresponding data object, by consulting the memory allocation and de-allocation events, to provide a data object reference stream; c) translating each data object reference into a corresponding page reference by consulting the page size mapping and by modeling the data allocation and de-allocation events in accordance with the mapping to provide a page reference stream and a number of pages of each page size that are needed by the respective mapping; d) using the page reference stream to provide a stream of reuse distance values; e) determining, for each reference in the reuse distance value stream, whether the referen

Abstract: Disclosed are a method and system for predicting future values of a target metric associated with a task executed on a computer system. The method comprises the steps of, over a given period of time, measuring at least one defined metric, transforming that measurement into a value for a predictor source metric, and using the value for the predictor source metric to obtain a predicted future value for said target metric. The preferred embodiment of this invention provides a flexible performance multi-predictor to solve the problem of providing accurate future behavior predictions for adaptive reconfiguration systems. The multi-predictor makes predictions about future workload characteristic by periodically reading available hardware counters. Also disclosed is a method and system for periodically reconfiguring an adaptive computer system by rescheduling tasks based on future behavior predictions.

Abstract: Disclosed are a method and system for predicting future values of a target metric associated with a task executed on a computer system. The method comprises the steps of, over a given period of time, measuring at least one defined metric, transforming that measurement into a value for a predictor source metric, and using the value for the predictor source metric to obtain a predicted future value for said target metric. The preferred embodiment of this invention provides a flexible performance multi-predictor to solve the problem of providing accurate future behavior predictions for adaptive reconfiguration systems. The multi-predictor makes predictions about future workload characteristic by periodically reading available hardware counters. Also disclosed is a method and system for periodically reconfiguring an adaptive computer system by rescheduling tasks based on future behavior predictions.

Abstract: A computer-implemented method, computer program product and data processing system to improve runtime performance of executable program code when executed on the data-processing system. During execution, data is collected and analyzed to identify runtime behavior of the program code. Heuristic models are applied to select region(s) of the program code where application of a performance improvement algorithm is expected to improve runtime performance. Each selected region is recompiled using selected performance improvement algorithm(s) for that region to generate corresponding recompiled region(s), and the program code is modified to replace invocations of each selected region with invocations of the corresponding recompiled region. Alternatively or additionally, the program code may be recompiled to be adapted to characteristics of the execution environment of the data processing system.