Abstract: Machine logic (for example, software) for creating layout for an advertisement and choosing a color scheme, with good color harmony, for the advertisement. Some embodiments are directed to testing how well people respond to advertisements laid out and colored created by the machine logic.

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 system and method are provided for direct manipulation of a triangular distribution of information. The system includes a graphical user interface for receiving user inputted values. The system further includes a data calculator for generating estimates based on the user inputted values, and for generating curves for display on a grid based on at least one of, the user inputted values and the estimates. The graphical user interface respectively receives the user inputted values based at least on a current position of a pointer on the grid. The graphical user interface is capable of applying a direct manipulation to at least one of the user inputted values and the estimates, such that a result of the direct manipulation is displayed on the grid and enters triplets corresponding to an expected value, an upper bound for the expected value, and a lower bound for the expected value.

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 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: Mechanisms are provided for generating a shape tag cloud display. A user input is received that specifies an arbitrarily hand-drawn shape tag. A set of shape tag equivalence classes is updated based on the received user input to assign the arbitrarily hand-drawn shape tag to a shape tag equivalence class having similar previously entered arbitrarily hand-drawn shape tags. Rankings of the shape tags relative to one another are generated. The shape tag cloud display is generated based on the rankings. A representation of each shape tag within the shape tag cloud display has display characteristics based on the rankings. The shape tag cloud display is then output.

Abstract: Mechanisms are provided for generating a shape tag cloud display. A user input is received that specifies an arbitrarily hand-drawn shape tag. A set of shape tag equivalence classes is updated based on the received user input to assign the arbitrarily hand-drawn shape tag to a shape tag equivalence class having similar previously entered arbitrarily hand-drawn shape tags. Rankings of the shape tags relative to one another are generated. The shape tag cloud display is generated based on the rankings. A representation of each shape tag within the shape tag cloud display has display characteristics based on the rankings. The shape tag cloud display is then output.

Abstract: Scheduling a given event, in one aspect, may include obtaining a set of one or more business rules, obtaining analytics, and obtaining an event specification. The event specification may include at least one content specification and two or more transmission modes. The event may be scheduled based on the event specification, the analytics and the business rules. The scheduling may be indicated by a tuple comprising event content, one or more communication modes selected from the two or more transmission modes, and timing of the scheduled event.

Abstract: Scheduling a given event, in one aspect, may include obtaining a set of one or more business rules, obtaining analytics, and obtaining an event specification. The event specification may include at least one content specification and two or more transmission modes. The event may be scheduled based on the event specification, the analytics and the business rules. The scheduling may be indicated by a tuple comprising event content, one or more communication modes selected from the two or more transmission modes, and timing of the scheduled event.

Abstract: A system and method are provided for direct manipulation of a triangular distribution of information. The system includes a graphical user interface for receiving user inputted values. The system further includes a data calculator for generating estimates based on the user inputted values, and for generating curves for display on a grid based on at least one of, the user inputted values and the estimates. The graphical user interface respectively receives the user inputted values based at least on a current position of a pointer on the grid. The graphical user interface is capable of applying a direct manipulation to at least one of the user inputted values and the estimates, such that a result of the direct manipulation is displayed on the grid and enters triplets corresponding to an expected value, an upper bound for the expected value, and a lower bound for the expected value.

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: Automatically creating a series of intermediate states may include receiving a start state and an end state of a reactive system, identifying one or more components of the start state and the end state and determining one or more events associated with the one or more components. One or more intermediate states between the start state and the end state, and one or more transitions from and to the one or more intermediate states are created using the one or more components of the start state and the end state and the one or more events associated with the one or more components. The one or more intermediate states and the one or more transitions form one or more time-based paths from the start state to the end state occurring in response to applying the one or more events to the associated one or more components.

Abstract: Smart Mark-up or highlighting delimits a rule using ontology technology to identify words and fields as objects and/or possible values in the rule. These technologies support the user in formalizing parts of the rules in a manner consistent with the system's data.

Abstract: System, method and graphical user interface for a simulation base calculator provides one or more selectable distribution models. One or more input fields are provided for inputting rules with one or more random variables. A processing module inputs one or more of the selectable distribution models and the rules into a simulator running on the system. An output field is provided for displaying one or more aspects of a result determined by the model run on the simulator.

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.