PATENT CLAIM ANALYSIS

Application Number: 15880352
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["717", "177000"]

Abstract:
Methods, systems, and devices for preemptively loading code dependencies are described. In some systems, an application server—which may be a software component of a user device—may perform a loading process for an application framework module (e.g., based on receiving an execution request for a corresponding application). To reduce the latency of loading the framework module, the application server may perform one or more preemptive non-framework network requests to retrieve code dependencies for the framework or the application code. These requests may be sent prior to the framework loading process, or in parallel with the framework loading process. The application server may receive the code dependencies in response, and may store these dependencies in a memory cache. When the framework loading process needs these code dependencies, the application server may efficiently access the dependencies locally in the memory cache rather than remotely requesting the dependencies over the network.

Claim (Index 6):
The method of  claim 3 , further comprising:\n determining that the code dependency is not yet stored in the local memory cache of the application server; and retransmitting the remote resource network request to retrieve the code dependency.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.14474
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11828884', '15406511', '13623025', '09940202', '13373761']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3579365937355547
- 35 USC 102 Novelty (BERT): 0.4943162273936844
- Combined Prediction Score: 0.3715745571013677
- Mean Citation Score: 164.976702
- Max Citation Score: 170.06798
- Similarity Product: 115.69813838192464

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