Cerner Innovation, Inc.

Amarrtya Jana

Darshan Matada Shashidhara

Jaipal Reddy

Pratik Nath

Pratyush Kumar

Srinidhi Kumble

Venkata Rama Raju Nadimpalli

Winston Rohan DSouza

Girish Sharavana

Aiswarya Ramachandran

Methods, systems, and computer-readable media are disclosed herein for improved state identification and prediction in computerized queries. In an aspects, a neural network model is trained via word embedding, using a plurality of workflows having a plurality of steps as input training data. The model may be searched using a string to locate and identify semantic matches as potential results, where the potential results correspond to a specific step and/or a particular workflow. Markov chaining may also be performed, using the potential results, in order to predict one or more additional results, where the additional results correspond to a specific succeeding step within a particular workflow, in some aspects. The results and predicted steps may be displayed.

System and method for improved state identification and prediction in computerized queries

Methods, systems, and computer-readable media are disclosed herein that utilizes historical changes made to files and methods in computer programming code to predict related files and methods that may be affected by current and/or future changes made to other files and methods. In aspects, when computer code for a particular method is going to be edited, other methods are identified that were changed in previous editing sessions that also included changes to the particular method. Using scoring techniques for the other methods, a recommendation is provided that details the relative strength of whether the other methods are predicted to be affected by any changes made to the computer code for the particular method that is edited.

System and method for predicting the impact of source code modification based on historical source code modifications

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Amarrtya Jana