公开(公告)号：US20230135368A1

公开(公告)日：2023-05-04

申请号：US17514362

申请日：2021-10-29

Applicant: SAP SE

Inventor： Anviti Srivastava ,  Nirjar Gandhi ,  Akash Gupta ,  Sudhir Verma ,  Divyanshu Bajpai

IPC: G06F16/18

Abstract: Techniques for implementing a dynamic intelligent log analysis tool are disclosed. In some embodiments, a computer system performs operations comprising: obtaining a log file comprising a plurality of log entries, each log entry comprising an error message; identifying a set of unique words from the error messages; for each error message, computing a term-frequency vector based on a frequency of occurrence for each unique word of the set of unique words in the error message; for each error message, computing a similarity measure between the term-frequency vectors of the error message and every other error message of the log entries; for each error message, computing a score based on a sum of the similarity measures; and displaying an indication of one or more of the error messages on a computing device based on the scores for the one or more of the error messages.

公开(公告)号：US11907171B2

公开(公告)日：2024-02-20

申请号：US17514362

申请日：2021-10-29

Applicant: SAP SE

Inventor： Anviti Srivastava ,  Nirjar Gandhi ,  Akash Gupta ,  Sudhir Verma ,  Divyanshu Bajpai

IPC: G06F16/00 ,  G06F16/18

CPC classification number: G06F16/1805

Abstract: Techniques for implementing a dynamic intelligent log analysis tool are disclosed. In some embodiments, a computer system performs operations comprising: obtaining a log file comprising a plurality of log entries, each log entry comprising an error message; identifying a set of unique words from the error messages; for each error message, computing a term-frequency vector based on a frequency of occurrence for each unique word of the set of unique words in the error message; for each error message, computing a similarity measure between the term-frequency vectors of the error message and every other error message of the log entries; for each error message, computing a score based on a sum of the similarity measures; and displaying an indication of one or more of the error messages on a computing device based on the scores for the one or more of the error messages.