PATENT CLAIM ANALYSIS

Application Number: 15908346
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["717", "120000"]

Abstract:
The disclosed method may include accessing features including feature information of one or more candidate target projects and of a subject project, in which the candidate target projects and the subject project are software programs. The method may include determining a similarity score between the feature information of each of the candidate target projects and the feature information of the subject project, in which a similarity score is determined for each feature of each of the candidate target projects. The method may include aggregating the similarity scores of the feature information of each feature in the candidate target projects to create an aggregate similarity score for each of the candidate target projects and generate a set of similar target projects. The method may include modifying the subject project by implementing recommended code, based on the similar target projects, in the subject project to repair a defect.

Claim (Index 10):
The method of  claim 1 , wherein the determining the similarity score includes:\n constructing a query vector including query terms from the feature information of the subject project; constructing a document vector including documents terms from the feature information of the candidate target projects; selecting a feature within a candidate target project, the selected feature including document terms in the document vector; determining, for the selected feature, a cosine similarity between the query vector and the document vector; and adding the cosine similarity of the selected feature to an aggregated score.

Metadata:
- Claim Count in Document: 40.0
- Percentile: 88.0
- Lexical Diversity: 2.8
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13479648', '15275494', '12033308', '12041629', '14219613']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4085504494557518
- 35 USC 102 Novelty (BERT): 0.5128626851416036
- Combined Prediction Score: 0.418981673024337
- Mean Citation Score: 202.216488
- Max Citation Score: 222.40976
- Similarity Product: 144.54096546016694

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