公开(公告)号：US10684935B2

公开(公告)日：2020-06-16

申请号：US15923334

申请日：2018-03-16

Applicant: Cisco Technology, Inc.

Inventor： Jay Kemper Johnston ,  Magnus Mortensen ,  David C. White, Jr. ,  Michael James Robertson

IPC: G06F11/00 ,  G06F11/36 ,  G06N3/08

Abstract: In one embodiment, a server creates a reproduction environment of a particular condition of a particular device, the reproduction environment having a device under test (DUT) representative of the particular device, and also being seeded with features regarding the particular condition. The server generates a plurality of models for reaching a target state of the particular condition, each of the plurality of models having differing actions. According to the techniques herein, the server then iteratively refines a minimal model based on the actions of the plurality of models and whether those actions during testing of the DUT get closer to or further from the target state. In response to determining that the minimal model can no longer be further refined during the iterative refining, the server then stores the minimal model as a solution model indicating a given minimal set and order of actions required to reach the target state.

公开(公告)号：US20190286546A1

公开(公告)日：2019-09-19

申请号：US15923334

申请日：2018-03-16

Applicant: Cisco Technology, Inc.

Inventor： Jay Kemper Johnston ,  Magnus Mortensen ,  David C. White, JR. ,  Michael James Robertson

IPC: G06F11/36 ,  G06F11/00 ,  G06N3/08

Abstract: In one embodiment, a server creates a reproduction environment of a particular condition of a particular device, the reproduction environment having a device under test (DUT) representative of the particular device, and also being seeded with features regarding the particular condition. The server generates a plurality of models for reaching a target state of the particular condition, each of the plurality of models having differing actions. According to the techniques herein, the server then iteratively refines a minimal model based on the actions of the plurality of models and whether those actions during testing of the DUT get closer to or further from the target state. In response to determining that the minimal model can no longer be further refined during the iterative refining, the server then stores the minimal model as a solution model indicating a given minimal set and order of actions required to reach the target state.