Abstract: A method for autonomically prioritizing software defects may include applying at least one static analysis tool to a body of source code to generate a report in response to any perceived defects. The method may also include performing a delta analysis on a group of data that may include the report, a previously generated report, and one of a default priority scheme and a previously generated priority list to generate a refined priority list of types of software defects.

Abstract: A method and system for providing predictive quality analysis during software creation/development. A system of computation is provided that utilizes a combination of objective measures and subjective inputs to determine a final quality of the software that is being developed. In addition to using objective measures, in a unique, consistent, and deliberate fashion, subjective measures are also utilized to increase/improve the validity of the predictive quality analysis. The subjective elements utilized are ones that provide good indicators of the likelihood of success and customer satisfaction from a software quality standpoint.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A system and method for assessing the probability of success of business transactions by a software application that will interact with one or more other software applications in a target computer environment. Known defect data is gathered for each software application that constitutes a portion of the business transaction as it runs in the target environment, analyzed in view of the other software applications and the target computer environment, and then a transaction failure rate is predicted for the business transaction operating within the computer environment.