Abstract: A method, system and computer program product are provided for refreshing a software component without interruption. The method includes detecting when a current instance of the software component is inactive and activating a refresh process of the software component in parallel to the current instance, including starting a new instance of the software component. The method further includes monitoring a state of the current instance and, when the current instance ceases to be inactive, canceling the refresh process. The method includes determining that the refresh process is complete and switching from the current instance to the new instance of the software component.

Abstract: Embodiments of the present invention provide for collaborative filtering during retrieval of a graph. In an embodiment of the invention, a method for collaborative filtering of a graph includes loading a data set from a repository of data and representing the data set in a graph of a plurality of arranged nodes and links therebetween. A primary node can be identified amongst the nodes of the graph a composite rating can be retrieved for different ones of the arranged nodes. In this regard, the composite rating for a corresponding one of the nodes can include an aggregation of different ratings previously applied to the corresponding one of the nodes by different end users. Finally, a subset of the arranged nodes can be selected based upon the identified primary node and a composite rating of one or more other nodes.

Abstract: Embodiments of the present invention provide for collaborative filtering during retrieval of a graph. In an embodiment of the invention, a method for collaborative filtering of a graph includes loading a data set from a repository of data and representing the data set in a graph of a plurality of arranged nodes and links therebetween. A primary node can be identified amongst the nodes of the graph a composite rating can be retrieved for different ones of the arranged nodes. In this regard, the composite rating for a corresponding one of the nodes can include an aggregation of different ratings previously applied to the corresponding one of the nodes by different end users. Finally, a subset of the arranged nodes can be selected based upon the identified primary node and a composite rating of one or more other nodes.

Abstract: Embodiments of the present invention provide a method, system and computer program product for visualizing rule input attributes with a rule according to disparate rule attribute distributions. In an embodiment of the invention, a method for visualizing rule input attributes with a rule according to disparate rule attribute distributions has been provided. The method includes identifying in response to a selection of a rule for viewing in a rule viewer an input for the selected rule and determining an attribute for the input. However, attributes present in a guard for the selected rule can be excluded. The method also can include computing a global distribution of the attribute irrespective of the identified input and a specific distribution for the identified input. The attribute can be flagged as being correlated with the selected rule when it is determined that a sufficient disparity exists between the global distribution and the specific distribution.

Abstract: Embodiments of the present invention provide a method, system and computer program product for visualizing rule input attributes with a rule according to disparate rule attribute distributions. In an embodiment of the invention, a method for visualizing rule input attributes with a rule according to disparate rule attribute distributions has been provided. The method includes identifying in response to a selection of a rule for viewing in a rule viewer an input for the selected rule and determining an attribute for the input. However, attributes present in a guard for the selected rule can be excluded. The method also can include computing a global distribution of the attribute irrespective of the identified input and a specific distribution for the identified input. Thereafter, the attribute can be flagged as being correlated with the selected rule when it is determined that a sufficient disparity exists between the global distribution and the specific distribution.

Abstract: Embodiments of the present invention provide a method, system and computer program product for providing contextual feedback of rules proximity based on co-occurrence history in a business rules management system (BRMS). In an embodiment of the invention, a method for providing contextual feedback of rules proximity based on co-occurrence history can include selecting a rule for editing in a rules editor executing in memory of a computer, identifying different rules also having been applied to an input in common with the selected rule and displaying the identified different rules in the rules editor in connection with the selected rule.

Abstract: Embodiments of the present invention provide a method, system and computer program product for providing contextual feedback of rules proximity based on co-occurrence history in a business rules management system (BRMS). In an embodiment of the invention, a method for providing contextual feedback of rules proximity based on co-occurrence history can include selecting a rule for editing in a rules editor executing in memory of a computer, identifying different rules also having been applied to an input in common with the selected rule and displaying the identified different rules in the rules editor in connection with the selected rule.

Abstract: Embodiments of the present invention provide for collaborative filtering during retrieval of a graph. In an embodiment of the invention, a method for collaborative filtering of a graph includes loading a data set from a repository of data and representing the data set in a graph of a plurality of arranged nodes and links therebetween. A primary node can be identified amongst the nodes of the graph a composite rating can be retrieved for different ones of the arranged nodes. In this regard, the composite rating for a corresponding one of the nodes can include an aggregation of different ratings previously applied to the corresponding one of the nodes by different end users. Finally, a subset of the arranged nodes can be selected based upon the identified primary node and a composite rating of one or more other nodes.

Abstract: Embodiments of the present invention provide for collaborative filtering during retrieval of a graph. In an embodiment of the invention, a method for collaborative filtering of a graph includes loading a data set from a repository of data and representing the data set in a graph of a plurality of arranged nodes and links therebetween. A primary node can be identified amongst the nodes of the graph a composite rating can be retrieved for different ones of the arranged nodes. In this regard, the composite rating for a corresponding one of the nodes can include an aggregation of different ratings previously applied to the corresponding one of the nodes by different end users. Finally, a subset of the arranged nodes can be selected based upon the identified primary node and a composite rating of one or more other nodes.

Abstract: Embodiments of the present invention provide a method, system and computer program product for visualizing rule input attributes with a rule according to disparate rule attribute distributions. In an embodiment of the invention, a method for visualizing rule input attributes with a rule according to disparate rule attribute distributions has been provided. The method includes identifying in response to a selection of a rule for viewing in a rule viewer an input for the selected rule and determining an attribute for the input. However, attributes present in a guard for the selected rule can be excluded. The method also can include computing a global distribution of the attribute irrespective of the identified input and a specific distribution for the identified input. The attribute can be flagged as being correlated with the selected rule when it is determined that a sufficient disparity exists between the global distribution and the specific distribution.

Abstract: Embodiments of the present invention provide a method, system and computer program product for visualizing rule input attributes with a rule according to disparate rule attribute distributions. In an embodiment of the invention, a method for visualizing rule input attributes with a rule according to disparate rule attribute distributions has been provided. The method includes identifying in response to a selection of a rule for viewing in a rule viewer an input for the selected rule and determining an attribute for the input. However, attributes present in a guard for the selected rule can be excluded. The method also can include computing a global distribution of the attribute irrespective of the identified input and a specific distribution for the identified input. Thereafter, the attribute can be flagged as being correlated with the selected rule when it is determined that a sufficient disparity exists between the global distribution and the specific distribution.

Abstract: Embodiments of the present invention provide a method, system and computer program product for providing contextual feedback of rules proximity based on co-occurrence history in a business rules management system (BRMS). In an embodiment of the invention, a method for providing contextual feedback of rules proximity based on co-occurrence history can include selecting a rule for editing in a rules editor executing in memory of a computer, identifying different rules also having been applied to an input in common with the selected rule and displaying the identified different rules in the rules editor in connection with the selected rule.

Abstract: Embodiments of the present invention provide a method, system and computer program product for providing contextual feedback of rules proximity based on co-occurrence history in a business rules management system (BRMS). In an embodiment of the invention, a method for providing contextual feedback of rules proximity based on co-occurrence history can include selecting a rule for editing in a rules editor executing in memory of a computer, identifying different rules also having been applied to an input in common with the selected rule and displaying the identified different rules in the rules editor in connection with the selected rule.