PATENT CLAIM ANALYSIS

Application Number: 16012875
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["717", "128000"]

Abstract:
Method, product and system for analyzing an execution of a program which uses Software Development Kits (SDKs), wherein the program is configured to invoke execution units, wherein a portion of the execution units are SDK execution units that are comprised by the SDKs. The method comprises: obtaining a stack trace of the execution of the program, wherein the stack trace comprises addresses of execution units; iterating over the stack trace to identify an address of an SDK execution unit, wherein said iterating comprises: comparing an address from the stack trace to a set of addresses associated with SDK execution units; and in response to determining the address is comprised by the set of address, identifying the address as an address of the SDK execution unit; and sending a report to a server, wherein the report identifies an SDK comprising the SDK execution unit.

Claim (Index 4):
The computer program product of  claim 1 , wherein the predetermined set of addresses associated with SDK execution units are determined at build-time of the program, wherein at build-time, a symbol table and an executable file of the program are analyzed to identify the execution units, wherein each execution unit is analyzed, based on a corresponding symbol of the execution unit, to determine to which SDK the execution unit is associated, if any, wherein the predetermined set of addresses comprises addresses of execution units identified as SDK execution units during build-time.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 94.0
- Lexical Diversity: 2.48438
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14631797', '14307208', '15209836', '15256058', '14307227']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3579132970193287
- 35 USC 102 Novelty (BERT): 0.5054840382335204
- Combined Prediction Score: 0.3726703711407478
- Mean Citation Score: 176.191428
- Max Citation Score: 193.53734
- Similarity Product: 137.04064524335624

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

Dataset: test