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Identification of progress towards complete message system integration using automation degree of implementation metrics

  • US 10,153,992 B2
  • Filed: 04/28/2015
  • Issued: 12/11/2018
  • Est. Priority Date: 04/28/2015
  • Status: Active Grant
First Claim
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1. A method, comprising:

  • receiving, by a message system executed by a processor, a plurality of messages relating to events occurring on a host system;

    classifying, by the message system, each of the plurality of messages into one of three message groups comprising a critical automated messages group, a critical non-automated messages group, and a non-critical messages group, wherein the three message groups classified are stored in a first data storage;

    determining, by the message system, progress towards complete message system automation by analyzing one or more of the three message groups, wherein the plurality of messages within the three message groups are analyzed using at least one of a Correlation Analysis, a Monte-Carlo simulation, a Factor Analysis, a Mean Square Weighted Deviation (MSWD), a Regression Analysis, and a Time Series Analysis, analyzed results of the one or more of the three message groups are stored in a consolidated data storage independent from the first data storage, such that the message system has the capability to directly refer back to the consolidated data storage to obtain analyzed results without accessing the first data storage; and

    automating, by the message system, non-automated messages, based, at least in part, on the classified messages.

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