PATENT CLAIM ANALYSIS

Application Number: 15952565
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-07
Patent Classification: ["717", "106000"]

Abstract:
A system for improving software code quality using artificial intelligence is provided. The system comprises a training data extraction module to extract learning data files from a source control management system and an integrated development environment for preparing training data. The system further comprises a machine learning model trainer that conducts training of an artificial neural network. The system further comprises a machine learning recommendation module that queries the trained artificial neural network to check for recommendations for improving quality of one or more new software codes and one or more modified software codes. The system also comprises a remediation module that determines one or more coding standard violations in the one or more new software codes and one or more modified software codes. The quality of the one or more new software codes and one or more modified software codes is improved by applying the recommendations.

Claim (Index 5):
The system of  claim 4 , wherein the training data publisher module is communicatively coupled to a training data arrival event processor, the training data arrival event processor is programmed to receive one or more events published by the training data publisher module, the training data arrival event processor is further programmed to process the received one or more events and check for availability of training window of the machine learning model trainer and a software application whose code quality is to be improved.

Metadata:
- Claim Count in Document: 46.0
- Percentile: 91.0
- Lexical Diversity: 2.35385
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15416988', '12019060', '14948341', '10152731', '15919033']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3874418072893281
- 35 USC 102 Novelty (BERT): 0.5021538191847248
- Combined Prediction Score: 0.3989130084788677
- Mean Citation Score: 167.107786
- Max Citation Score: 192.86223
- Similarity Product: 131.68075435909867

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

Dataset: test