PATENT CLAIM ANALYSIS

Application Number: 15939742
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-07
Patent Classification: ["717", "106000"]

Abstract:
A code completion tool uses machine learning models to more precisely predict the likelihood of a method invocation completing a code fragment that follows one or more method invocations of a same class in a same document during program development. In one aspect, the machine learning model is a n-order Markov chain model that is trained on features that represent characteristics of the context of method invocations of a class in commonly-used programs from a sampled population.

Claim (Index 17):
The device of  claim 13 , wherein the features include identifiers indicating whether a method invocation is associated with an override, static, virtual, definition, abstract, and/or sealed keyword.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 90.0
- Lexical Diversity: 1.53846
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14182684', '12195362', '13677001', '13486567', '12195368']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3382905473045834
- 35 USC 102 Novelty (BERT): 0.5044322691973437
- Combined Prediction Score: 0.3549047194938595
- Mean Citation Score: 143.808746
- Max Citation Score: 155.82676999999995
- Similarity Product: 102.17988992287933

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