AUTOMATICALLY COMPLETE A SPECIFIC SOFTWARE TASK USING HIDDEN TAGS

Patent №

US 10,216,617

Granted

2019-02-26

Filed 2017

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

1

nlp

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15847988

A method to detect and diagnose where an error occurs in a source code that is associated with a software program or a website is provided. The method may include receiving a log report associated with the software program or the website, whereby by the log report is sent based on a hidden tag associated with the software program or the website. The method may also include analyzing the received log report. The method may further include detecting at least one error based on the analysis of the received log report. The method may include reverting back to a previous line in the source code associated with the software program or the website, whereby the reverting is based on the detection of the at least one error.

Natural languageG06F 11/366G06F 8/71G06F 9/44526G06F 9/45512G06F 11/0706G06F 11/0751G06F 11/3668G06F 11/3698

AI classification

Natural language0.99
AI hardware0.36
Knowledge representation0.10
Planning0.05
Machine learning0.01
Vision0.01
Evolutionary computation0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 449170392

Assignors

CHEN, HSIAO-YUNG, CHEN, LI-JU, TING, WAN-PING, WU, YU-HSING

On an employer assignment, the assignors are typically the inventors.

From the same owner

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