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 1):
A system for improving software code quality using artificial intelligence, the system comprising:\n a training data extraction module configured to extract learning data files from one or more software codes present in at least one of: a Source Control Management (SCM) system and an Integrated Development Environment (IDE) for preparing training data; a machine learning model trainer configured to encode the training data based on machine learning model and to conduct training of an artificial neural network; a machine learning recommendation module configured to query the trained artificial neural network to check for one or more recommendations for improving quality of at least one of: one or more new software codes and one or more modified software codes; and a remediation module configured to:\n determine one or more coding standard violations in the at least one of: one or more new software codes and one or more modified software codes; and \n improve quality of the at least one of: one or more new software codes and one or more modified software codes by applying one or more recommendations.

Metadata:
- Claim Count in Document: 46.0
- Percentile: 91.0
- Lexical Diversity: 2.35385
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15416988', '12019060', '14948341', '10152731', '15919033']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3614869388732192
- 35 USC 102 Novelty (BERT): 0.491935842738166
- Combined Prediction Score: 0.3745318292597139
- Mean Citation Score: 167.107786
- Max Citation Score: 192.86223
- Similarity Product: 142.6626897849154

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