PATENT CLAIM ANALYSIS

Application Number: 16383405
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["717", "124000"]

Abstract:
Duplicate bug report detection using machine learning algorithms and automated feedback incorporation is disclosed. For each set of bug reports, a user-classification of the set of bug reports as including duplicate bug reports or non-duplicate bug reports is identified. Also for each set of bug reports, correlation values corresponding to a respective feature, of a plurality of features, between bug reports in the set of bug reports is identified. Based on the user-classifications and the correlation values, a model is generated to identify any set of bug reports as including duplicate bug reports or non-duplicate bug reports. The model is applied to classify a particular bug report and a candidate bug report as duplicate bug reports or non-duplicate bug reports.

Claim (Index 5):
The one or more media of  claim 1 , wherein the second bug report was previously identified as duplicate of the first bug report by the classification model.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 100.0
- Lexical Diversity: 2.40741
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14992831', '15065214', '15655187', '13931779', '13242936']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3712636067259636
- 35 USC 102 Novelty (BERT): 0.5466270449265312
- Combined Prediction Score: 0.3887999505460204
- Mean Citation Score: 225.756748
- Max Citation Score: 361.46432
- Similarity Product: 283.7637418933105

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

Dataset: test