Log message analysis and machine-learning based systems and methods for predicting computer software process failures
US11176015B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 26, 2019 |
| Grant date | Nov 16, 2021 |
| Priority date | — |
| Expiry date | Feb 17, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In general, embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for software process failure prevention are provided herein. Such embodiments may include steps of: generating error logs at one or more phases of a software process lifecycle; preprocessing each error log to standardize error log data; grouping the preprocessed error logs based on similar characteristics of the preprocessed error logs; associating each group of preprocessed error logs with one or more discrete events of the software process lifecycle; converting each preprocessed error log into a sequence of associated discrete events of the software process lifecycle; merging redundant sequences of associated discrete events of the software process lifecycle; and identifying one or more error causing patterns for software process failure prediction from the sequences of associated discrete events of the software process lifecycle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.