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 1):
A method for automatically continuously deploying code changes, comprising:\n receiving, by a manager application on a server, log data from a delegate on a remote machine, the delegate collecting log data from a node within an application that is currently executing, the log data including a first log data associated with a change in code within the node and a second log data; generating a first learned representation for the received first log data and a second learned representation for the received second log data by the manager application; comparing the first learned representation to the second learned representation to identify unexpected events or unexpected frequencies; and determining if the change in code is acceptable based on the comparison.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 94.0
- Lexical Diversity: 1.72603
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15899232', '15011022', '15416571', '15701468', '11839445']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1882240059885901
- 35 USC 102 Novelty (BERT): 0.4729649487564801
- Combined Prediction Score: 0.2166981002653791
- Mean Citation Score: 145.0568368
- Max Citation Score: 221.55261
- Similarity Product: 186.59074561790584

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