Michael D. Elder

TL;DR: In this paper, a system and method for evaluating an information aggregate by analyzing categories into which each document of the aggregate is placed is presented, and a query engine is responsive to a user request and the metrics database for aggregating documents having same, unique attributes in an information aggregation and identifying categories associated with documents comprising the information aggregate.

TL;DR: In this paper, a deployment modeling platform enables a user to model application characteristics of target software and to associate application modeling parameters to the modeled application characteristics, and a user may also model environment characteristics of a target deployment environment and associate environment modeling parameters with the modeled deployment environment characteristics.

TL;DR: In this article, a query engine is responsive to a user request and the metrics database for aggregating documents having same, unique attributes in an information aggregate; collects a plurality of documents having non-unique values on a first shared attribute into a first information aggregate and a plurality from documents having not-unique value on a second shared attributes into a second information aggregate.

TL;DR: In this paper, a system and method for evaluating an information aggregate by membership includes a metrics database for storing document indicia including document attributes, associated persons and age of creation; a query engine responsive to a user request and the metrics database is used for aggregating documents having same, unique attributes in an information aggreg; collecting a plurality of documents having non-unique values on a first shared attribute into a first aggregate; determining membership of the aggregate; and a visualization engine for visualizing the membership.