PATENT CLAIM ANALYSIS

Application Number: 16008725
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-04
Patent Classification: ["717", "128000"]

Abstract:
Techniques for profiling memory leaks are described. In one or more embodiments, a memory profiling system identifies a set of one or more objects on the heap during application runtime. For each respective object in the subset of objects, the memory profiling system stores a set of sample information including timestamp that identifies a time associated with an allocation on the heap memory was performed for the respective object and a stack trace identifying at least one subroutine that triggered the allocation on the heap memory. Responsive to detecting a memory leak, the memory profiling system generates a memory leak profile for at least one object in the subset of objects that is causing the memory leak. The memory leak profile identifies when the allocation on the memory store for the at least one object was performed and information about object that remained live after the potential memory leak.

Claim (Index 2):
The method of  claim 1 , further comprising: maintaining the set of allocation-time information for each object of the sample of objects in a priority queue; wherein priority is determined based at least in part on one of an allocation span or an allocation time.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 94.0
- Lexical Diversity: 2.27536
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12491877', '10893090', '13900396', '11084407', '11121129']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3727901213404182
- 35 USC 102 Novelty (BERT): 0.4843849241437218
- Combined Prediction Score: 0.3839496016207486
- Mean Citation Score: 178.821112
- Max Citation Score: 185.33302
- Similarity Product: 143.42412653723483

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