Patent application number | Description | Published |
20130174138 | SOFTWARE CATALOG INFORMATION MANAGEMENT - A first computing entity receives a respective set of software discovery rules from each of a plurality of other computing entities. Based on each of the sets of software discovery rules, a set of software discovery rules associated with the first computing entity is modified. The modified set of software discovery rules is communicated to each of the plurality of other computing entities. | 07-04-2013 |
20140059535 | Software Inventory Using a Machine Learning Algorithm - A software inventory method, comprising storing data representative of a logic engine established via a machine learning algorithm, detecting a software item on a computer system, determining at least one parameter of the software item, estimating, using the logic engine and the at least one parameter, a category of the software item, and communicating the at least one parameter to another computer system in response to the estimated category is a given category. | 02-27-2014 |
20140089274 | AGENT COMMUNICATION BULLETIN BOARD - A data communication system comprising a first plurality of software entities, each having a respective entity identifier and a respective plurality of characteristics, and a data repository, wherein a first software entity of the first plurality of software entities instigates establishment of a first collection of data at the data repository, the first collection of data having at least one collection identifier selected from the plurality of characteristics of the first software entity, each of a second plurality of the first plurality of software entities having a respective set of the respective plurality of characteristics that matches the at least one collection identifier instigates addition of the entity identifier of the respective software entity to the first collection of data, at least one of the second plurality of software entities instigates addition of data to the first collection of data, and at least one other of the second plurality of software entities obtains a portion of the data from the first collection of data. | 03-27-2014 |
20140149585 | SOFTWARE ASSET MANAGEMENT USING A BROWSER PLUG-IN - A software asset management method comprising storing URL data for each of a first plurality of software entities, obtaining, by means of a first browser plug-in, first data indicative of a URL from which a browser has obtained content, comparing, for at least one of the first plurality of software entities, the URL data of the respective software entity with the first data, and communicating the first data to a first computer other than a computer hosting the browser subject to a first condition that, for each of the first plurality of software entities, the comparing reveals that the first data does not match the URL data of the respective software entity. | 05-29-2014 |
20150089472 | SOFTWARE DISCOVERY BY AN INSTALLER CONTROLLER - A method for performing software discovery by an installer controller is provided and may include detecting, at a computer, an attempt by a software installer to execute on the computer, wherein during execution, the software installer modifies software on the computer. A Software Asset Management (SAM) computer server may be queried for an approval status corresponding to a software package provided by the software installer. The installer controller executes the software installer upon receiving on the returned approval status; aggregates a result from the execution of the software installer based on the software installer modifying the software on the computer; and updates a discovery software signature on the computer when the returned approval status is marked as known. | 03-26-2015 |
20150089473 | SOFTWARE DISCOVERY BY AN INSTALLER CONTROLLER - A method for performing software discovery by an installer controller is provided and may include detecting, at a computer, an attempt by a software installer to execute on the computer, wherein during execution, the software installer modifies software on the computer. A Software Asset Management (SAM) computer server may be queried for an approval status corresponding to a software package provided by the software installer. The installer controller executes the software installer upon receiving on the returned approval status; aggregates a result from the execution of the software installer based on the software installer modifying the software on the computer; and updates a discovery software signature on the computer when the returned approval status is marked as known. | 03-26-2015 |
20150363687 | MANAGING SOFTWARE BUNDLING USING AN ARTIFICIAL NEURAL NETWORK - An artificial neural network is used to manage software bundling. During a training phase, the artificial neural network is trained using previously bundled software components having known values for identification attributes and known software bundle asociations. Once trained, the artifical neural network can be used to identify the proper software bundles for newly discovered sofware components. In this process, a newly discovered software component having known values for the identification attributes is identified. An input vector is derived from the known values. The input vector is loaded into input neurons of the artificial neural network. A yielded output vector is then obtained from an output neuron of the artificial neural network. Based on the composition of the output vector, the software bundle associated with this newly discovered software component is determined. | 12-17-2015 |
20150363691 | MANAGING SOFTWARE BUNDLING USING AN ARTIFICIAL NEURAL NETWORK - An artificial neural network is used to manage software bundling. During a training phase, the artificial neural network is trained using previously bundled software components having known values for identification attributes and known software bundle asociations. Once trained, the artifical neural network can be used to identify the proper software bundles for newly discovered sofware components. In this process, a newly discovered software component having known values for the identification attributes is identified. An input vector is derived from the known values. The input vector is loaded into input neurons of the artificial neural network. A yielded output vector is then obtained from an output neuron of the artificial neural network. Based on the composition of the output vector, the software bundle associated with this newly discovered software component is determined. | 12-17-2015 |