PATENT CLAIM ANALYSIS

Application Number: 16049366
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-09
Patent Classification: ["717", "172000"]

Abstract:
First data related to first validation operations for a plurality of first release combinations is stored, where the first validation operations comprise a first plurality of tasks. Production results for each of the plurality of first release combinations are stored. Second data from execution of a second plurality of tasks of a second validation operation of a second release combination is automatically collected. A quality score for the second release combination based on a comparison of the first data, the second data, and the production results is generated. Responsive to the quality score, the second release combination is shifted from the second validation operation to a production operation.

Claim (Index 19):
The computer system of  claim 18 , further comprising:\n training, using training circuitry of a quality scoring system, a machine learning model based on a comparison of the first data related to first validation operations for the plurality of first release combinations and the production results for each of the plurality of first release combinations to create a customized machine learning model, and wherein the comparison of the first data, the second data, and the production results is performed using the customized machine learning model.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 95.0
- Lexical Diversity: 2.65909
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15880855', '16036253', '14412590', '15974837', '15199265']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3666714790387756
- 35 USC 102 Novelty (BERT): 0.4865471364965913
- Combined Prediction Score: 0.3786590447845572
- Mean Citation Score: 124.318834
- Max Citation Score: 129.96167
- Similarity Product: 89.17387567177893

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

Dataset: test