Abstract: Systems, devices, and methods are provided for using neural networks to determine the applicability of a software patch to a software code. A system may receive a first code modification associated with first software code, and determine a second code modification associated with second software code, the second software code including the second code modification. The system may determine a first feature vector associated with the second code modification, and may determine a threshold value associated with the first feature vector. The system may determine a second feature vector associated with the first code modification, and may determine that the second feature vector satisfies the threshold value. The system may send an indication to initiate the first code modification to the software code.

Abstract: The various technologies presented herein relate to upgrading industrial control software in real-time. During utilization of a first software to control an industrial process, a determination can be made that the first software needs to be replaced (e.g., partially or entirely) owing to a newer version of software is ready to be deployed, a vulnerability in the first software has been determined, etc. Rather than closing the industrial process down while the first software is replaced, a second software can be deployed such that the first software and the second software are operating in parallel (e.g., receiving the same operational data, process states). When a critical point (upgrade location) in the first software has been reached, control of the industrial process can be switched to the second software, thereby enabling control of the industrial process to occur without having to temporarily cease operation and/or monitoring of the industrial process.