PATENT CLAIM ANALYSIS

Application Number: 15884510
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["717", "128000"]

Abstract:
A computer-implemented method includes identifying a primary code segment, determining a confidence score associated with said primary code segment, and determining whether the confidence score exceeds a confidence threshold. The computer-implemented method further includes responsive to the confidence score exceeding the confidence threshold, determining a logger code segment associated with the primary code segment. A corresponding computer program product and computer system are also disclosed.

Claim (Index 1):
A computer system comprising:\n one or more computer processors, one or more computer readable storage media, and program instructions stored on the computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising: program instructions to identify a primary code segment; program instructions to determine a call frequency indicator, said call frequency indicator being associated with said primary code segment; program instructions to determine a change frequency indicator, said change frequency indicator being associated with said primary code segment; program instructions to identify a normalization guideline; program instructions to determine a use frequency indicator, said use frequency indicator being associated with said primary code segment, wherein program instructions to determine said use frequency indicator are performed based on said call frequency indicator and said normalization guideline; program instructions to determine a modification frequency indicator, said modification frequency indicator being associated with said primary code segment, wherein program instructions to determine said modification frequency indicator are performed based on said change frequency indicator and said normalization guide; program instructions to determine a user confidence indicator, said user confidence indicator being associated with said primary code segment, wherein program instructions to determine said user confidence indicator are performed based on said normalization guideline; program instructions to determine a failure response indicator, said user confidence indicator being associated with said primary code segment; program instructions to determine a confidence score, said confidence score being associated with said primary code segment, wherein program instructions to determine said confidence score are performed based on an addition of said use frequency indicator, said modification frequency indicator, said user confidence indicator, and said failure response indicator; program instructions to determine whether said confidence score exceeds a confidence threshold; program instructions to, responsive to said confidence score exceeding said confidence threshold, determine a logger code segment, said logger code segment being associated with said primary code segment; program instructions to determine a change history indicator, said change history indicator being associated with said primary code segment; program instructions to determine an error history indicator, said error history indicator being associated with said primary code segment; program instructions to determine a stability indicator, said stability indicator associated with said primary code segment, wherein program instructions to determine said stability indicator are performed based on said change history indicator and said error history indicator; and program instructions to determine whether to remove said logger code segment based on said stability indicator.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 1.97222
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15230541', '15708169', '13919170', '14951636', '14501268']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3536178801422603
- 35 USC 102 Novelty (BERT): 0.5023651145071857
- Combined Prediction Score: 0.3684926035787529
- Mean Citation Score: 169.71004399999995
- Max Citation Score: 245.72466
- Similarity Product: 198.6528165681696

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

Dataset: test