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: 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: 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: 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: 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: A method (which can be computer implemented) for inferring whether at least a first relationship exists between at least first and second entities includes the steps of applying a first assessor to obtain a first confidence level pertaining to putative existence of said at least first relationship between said at least first and second entities, applying a second assessor to obtain a second confidence level pertaining to putative existence of said at least first relationship between said at least first and second entities, and combining said first and second confidence levels to obtain an overall inference whether said at least first relationship exists between said at least first and second entities.

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: 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: A method for projecting the progress of a project, the project including work items, the method including: obtaining starting state transition probabilities for the work items in a first time interval; obtaining starting populations of the work items, wherein the starting populations of the work items include states of the work items at the beginning of the first time interval; determining expected distributions for the work item states at the end of the first time interval by using the starting state transition probabilities and the starting populations; identifying actual states for the work items at the end of the first time interval; determining actual state transition rates of the work items for the first time interval by using the starting populations and the actual states; and determining expected future state transition probabilities for the work items by using the starting state transition probabilities and the actual state transition rates.

Abstract: A method (which can be computer implemented) for inferring whether at least a first relationship exists between at least first and second entities includes the steps of applying a first assessor to obtain a first confidence level pertaining to putative existence of said at least first relationship between said at least first and second entities, applying a second assessor to obtain a second confidence level pertaining to putative existence of said at least first relationship between said at least first and second entities, and combining said first and second confidence levels to obtain an overall inference whether said at least first relationship exists between said at least first and second entities.

Abstract: A method (which can be computer implemented) for inferring whether at least a first relationship exists between at least first and second entities includes the steps of applying a first assessor to obtain a first confidence level pertaining to putative existence of said at least first relationship between said at least first and second entities, applying a second assessor to obtain a second confidence level pertaining to putative existence of said at least first relationship between said at least first and second entities, and combining said first and second confidence levels to obtain an overall inference whether said at least first relationship exists between said at least first and second entities.

Abstract: Reverse metadata viewing by multiple parties, in one aspect, determines one or more second users that share one or more concerns of the first user, enable the first user to select said one or more second users. One or more concerns of said selected one or more second users are determined based on metadata information in electronic artifacts associated with said selected one or more second users. The first user is enabled to explore said one or more concerns of said selected one or more second users.

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: 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: 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: 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 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: A method (which can be computer implemented) for inferring whether at least a first relationship exists between at least first and second entities includes the steps of applying a first assessor to obtain a first confidence level pertaining to putative existence of said at least first relationship between said at least first and second entities, applying a second assessor to obtain a second confidence level pertaining to putative existence of said at least first relationship between said at least first and second entities, and combining said first and second confidence levels to obtain an overall inference whether said at least first relationship exists between said at least first and second entities.

Abstract: A method including receiving a plurality of probability distributions corresponding to respective competitive goals, receiving an indication of a comparison goal, mapping the comparison goal to a domain independent comparison statistic characteristic, determining a plurality of statistical values of the probability distributions, receiving a selections of a comparison pattern specifying a designed comparison coordination for corresponding ones of the comparison statistic characteristics, converting the plurality of probability distributions into the designed comparison coordination, and displaying the probability distributions in the designed comparison coordination including values of the comparative statistic characteristics of the probability distributions.

Abstract: Reverse metadata viewing by multiple parties, in one aspect, determines one or more second users that share one or more concerns of the first user, enable the first user to select said one or more second users. One or more concerns of said selected one or more second users are determined based on metadata information in electronic artifacts associated with said selected one or more second users. The first user is enabled to explore said one or more concerns of said selected one or more second users.