International Business Machines Corporation

Adam M Tate

Scott A Will

Theodore F Rivera

Mark Gregory Megerian

David G Robinson

John B Gordon

Wesley Gyure

Verlyn Michael Fischer

Hayo Jager

Lorraine Phyllis Vassberg

Jager Hayo

Nancy J Whinham

A method, system, and computer program product are provided for displaying query items (e.g., patient attributes) and answers (e.g., treatment recommendations) by performing a ranking analysis of query items by running a cognitive analysis comparison of each marginal answer confidence improvement metric for each unspecified query item in the first plurality of query items to rank the query items in sorted order from largest to smallest marginal answer confidence improvement metric.

Cognitive computer assisted attribute acquisition through iterative disclosure

A solution for managing software dependencies during software testing and debugging includes a capture module configured to capture a software call stack of a software execution environment, each software call of the software call stack including a call signature and a call result. The solution defines a set of proxied software calls within the software call stack suitable for simulating conversation responses to runtime software calls by a target application. Once a set of proxied software calls is defined, a playback module recognizes runtime software calls by the target application that are within the set of proxied software calls and responds to the recognized runtime software call with a captured call result corresponding to the recognized software call.

Managing software dependencies during software testing and debugging

A method of in-line processing of standardized text values. A standardization utility defines multiple standardization rules in response to user input from a graphical user interface (GUI). The standardization rules correspond to text and integer data in a database. The standardization utility generates a JAVA class template for each data model object that requires standardization. The standardization utility generates public methods for each data attribute that corresponds to a standardization rule and converts the public methods into JAVA code. The standardization utility compiles the JAVA code into multiple helper classes and stores the helper classes within a JAVA Archive (JAR) file in the library path of applications that input text into the database. The standardization utility assigns a tracking number to each new helper class. The standardization utility loads the helper classes into JAVA Virtual Machines (JVMs) that are accessible to applications capable of inputting data into the database.

In-line processing of standardized text values

Under the present invention, a system, method, and program product for are provided for performing calculations assigned to the relationships displayed in information visualization models, and for displaying the results of the calculations. The method comprises: displaying an information visualization model having a plurality of nodes, wherein at least one node in the information visualization model is configured to: perform a calculation based on values displayed by other nodes in the information visualization model; and display a result of the calculation.

Embedded analytics in information visualization

A system and method for self-configuring and self-optimizing filters is presented. A computing device monitors the number of occurrences of event types at particular stages in a data stream and adjusts filter properties in order to maximize processing efficiency based upon the number of event types that the computing device receives. The computing device may reconfigure, reorder, or create an exception filter based upon the analysis of the event types. The computing device may also pre-configure filter stages using historical data based upon a time of day, a time of month, or a time of year.

System and method for self-configuring and self-optimizing filters

A system and method for heuristically optimizing a large set of automated test sets is presented. An automation control engine is used as a front end to a system automation engine. The automation control engine provides a set of input parameters, such as a buffer size and queue size, to the system automation engine. The system automation engine uses the input parameters along with a set of test sequences, to test a system under test. The system automation engine receives output variables from the system under test based upon the test, and sends the output variables to automation control engine. The automation control engine adjusts the input parameter values until the output variables meet one or more performance goals.

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Austin, TX, United States of America

Adam M Tate