PATENT CLAIM ANALYSIS

Application Number: 15997512
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-08
Patent Classification: ["707", "737000"]

Abstract:
The present system provides continuous delivery and service regression detection in real time based on log data. The log data is clustered based on textual and contextual similarity and can serve as an indicator for the behavior of a service or application. The clusters can be augmented with the frequency distribution of its occurrences bucketed at a temporal level. Collectively, the textual and contextual similarity clusters serve as a strong signature (e.g., learned representation) of the current service date and a strong indicator for predicting future behavior. Machine learning techniques are used to generate a signature from log data to represent the current state and predict the future behavior of the service at any instant in time.

Claim (Index 4):
The method of  claim 1 , wherein the unexpected events include unexpected log events.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 94.0
- Lexical Diversity: 1.72603
- Patent Class: 707.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15899232', '15011022', '15416571', '15701468', '11839445']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2025111794177188
- 35 USC 102 Novelty (BERT): 0.504312318101633
- Combined Prediction Score: 0.2326912932861102
- Mean Citation Score: 145.0568368
- Max Citation Score: 221.55261
- Similarity Product: 131.4444926505804

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test