PATENT CLAIM ANALYSIS

Application Number: 15933256
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["717", "127000"]

Abstract:
Methods, systems, and program products are disclosed for generating performance classifications for program elements. Program elements of a program are associated with reference elements of a reference document that describes the program. A first set of user interface inputs to the reference document are recorded including recording each of the first set of interaction based events in association with a respective one or more of the reference elements. A performance classifier is executed to generate a performance classification for one or more of the program elements based on one or more patterns formed, at least in part, by the first set of interaction based events.

Claim (Index 7):
The method of  claim 6 , further comprising:\n during the program operation cycle, collecting operation data for each of one or more of the program elements; generating a program operation record associated with the program operation cycle and that associates each of one or more program element IDs of the one or more program elements with the operation data; and wherein said generating the one or more patterns includes generating cross-domain activity records associated with the program operation cycle and that each associate a program element ID with,\n operation data collected for the program element corresponding to the program element ID; and \n activity metric values for reference elements associated with the program element corresponding to the program element ID.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 90.0
- Lexical Diversity: 2.01786
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14845953', '13370288', '12954470', '13235956', '15470308']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.345260464334357
- 35 USC 102 Novelty (BERT): 0.4664044478524341
- Combined Prediction Score: 0.3573748626861647
- Mean Citation Score: 121.987526
- Max Citation Score: 135.14445
- Similarity Product: 106.44681456175444

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