PATENT CLAIM ANALYSIS

Application Number: 15772991
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["717", "128000"]

Abstract:
Disclosed is a method for dynamically repairing an application, which includes: a client receiving a pre-configured repaired program segment; the repaired program segment is stored; an address that stores the repaired program segment is recorded; the address of the repaired program segment is stored in an application APP, and when the APP is in operation, the APP calling the repaired program segment via the address of the repaired program segment. Correspondingly, the present invention further discloses a device for dynamically repairing an application and a related system.

Claim (Index 16):
The device according to  claim 14 , wherein the creating unit comprises a first reading sub-unit, a first searching sub-unit, a first determining sub-unit, and a first adding sub-unit, wherein\n the first reading sub-unit is configured to read identification information of the repaired program segment; the first searching sub-unit is configured to search the application program APP for the address of a functional module to which the repaired program belongs according to the identification information; the first determining sub-unit is configured to determine a storage node corresponding to the address of the functional module; and the first adding sub-unit is configured to add a sub-storage node to the storage node corresponding to the address of the functional module, and use the sub-storage node as the storage node of the address of the repaired program segment.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 93.0
- Lexical Diversity: 2.25581
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15079068', '15619023', '15147862', '14410653', '13571797']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3342913951983606
- 35 USC 102 Novelty (BERT): 0.5041881581859922
- Combined Prediction Score: 0.3512810714971238
- Mean Citation Score: 156.46052400000005
- Max Citation Score: 175.09208999999996
- Similarity Product: 112.92196507490692

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

Dataset: test