Abstract: The invention concerns a method of processing data to provide output data based on a group of data samples having a time stamp falling within at least one rolling time period, the method comprising: receiving a new data sample and associating said new data sample with a first time stamp; updating said output data corresponding to a first rolling time period to be based on said group of data samples including said new data sample; programming a first callback based on said first time stamp and on the duration of said first rolling time period; and in response to the occurrence of said first callback, updating said output data corresponding to said first rolling time period to no longer be based on said new data sample.

Abstract: The invention concerns a system for processing semi-conductor test data relating to a plurality of dies formed by a manufacturing process on at least one silicon wafer, the system comprising: an input arranged to receive said semiconductor test data (202); one or more memories (226, 242) adapted to store a database comprising said semiconductor test data and a plurality of test data patterns, wherein each of said test data patterns is associated with a corresponding output data value indicating an associated recommendation for modifying said manufacturing process; and at least one processing unit (232) configured to analyse the values of said semiconductor test data, and/or values derived from said semiconductor test data, to identify a match with at least one of said test data patterns, and to output the corresponding output data value indicating the associated recommendation.

Abstract: The invention concerns a method of processing data to provide output data based on a group of data samples having a time stamp falling within at least one rolling time period, the method comprising: receiving a new data sample (DN) and associating said new data sample with a first time stamp; updating said output data corresponding to a first rolling time period to be based on said group of data samples including said new data sample; programming a first callback based on said first time stamp and on the duration of said first rolling time period; and in response to the occurrence of said first callback, updating said output data corresponding to said first rolling time period to no longer be based on said new data sample.