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 13):
A device, comprising:\n at least one processor and a memory; wherein the at least one processor is configured to: extract one or more features from a plurality of source code programs, a source code program having one or more method calls, the one or more features representing a context in which a method is called in the source code program, at least one feature of the one or more features representing a location of the called method in the program; generating one or more sequences of method calls of length n from the extracted one or more features, a sequence including method calls occurring in successive order, the one or more sequences including a probability from transitioning from one method in a sequence to an immediately succeeding method in the sequence, wherein the sequences and probabilities are computed from usage patterns of historical source code programs; and training the one or more sequences to predict a method to complete a method invocation in a program using a context of the method invocation and at least one immediately preceding method invocation.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 90.0
- Lexical Diversity: 1.53846
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14182684', '12195362', '13677001', '13486567', '12195368']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3127919825794986
- 35 USC 102 Novelty (BERT): 0.4995920227785833
- Combined Prediction Score: 0.3314719865994071
- Mean Citation Score: 143.808746
- Max Citation Score: 155.82676999999995
- Similarity Product: 104.5398869459891

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