PATENT CLAIM ANALYSIS

Application Number: 15944831
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["717", "129000"]

Abstract:
A method and system for testing a server code in a server concurrently handling multiple client requests create a job-specific breakpoint in the server code using a library application programming interface (API) that allows the job-specific breakpoint in the server code being enabled or disabled based on a job identifier. The library API controls the job-specific breakpoint in the server code via a plurality of readymade functions that execute, in a desired sequence, various synchronous and asynchronous program paths associated with the multiple client requests. By using the library API, the method and system are capable of establishing a new server connection with the server and retrieving the job identifier from the server associated with the established new server connection, pausing execution of a client job based on enabling the job-specific breakpoint, and resuming execution of the client job based on disabling the job-specific breakpoint.

Claim (Index 17):
The computer system of  claim 12 , wherein the server code is tested based on one or more of the following interactions:\n interaction between synchronous and asynchronous execution of client requests submitted concurrently from two or more different client jobs; interaction between nodes of the server; and interaction between asynchronous execution of a previous client request and synchronous and asynchronous execution of a subsequent client request in same client job for a given client.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 2.21429
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15341485', '09893385', '15341358', '12908942', '14662282']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3992233798572227
- 35 USC 102 Novelty (BERT): 0.5202777404610063
- Combined Prediction Score: 0.4113288159176011
- Mean Citation Score: 193.128342
- Max Citation Score: 196.93048
- Similarity Product: 108.77184787089824

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