MEMORY LEAK DETECTION

Patent №

US 11,048,616

Granted

2021-06-29

Filed 2015

Owner

BMC SOFTWARE, INC.

Lab

AI components

3

kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14640581

In accordance with aspects of the disclosure, systems and methods are provided for monitoring one or more classes for detecting suspected memory leaks in a production environment. The systems and methods may include identifying which of the one or more classes hold at least one static or non-static field of collection or array type, accessing the one or more classes that hold the at least one static or non-static fields of collection or array type, and tracking a size for each field of each class by periodically sampling the size of each field over an interval, processing the size data for each field of each class, and detecting suspected memory leaks of each class by identifying which of the one or more fields of each class exhibits suspect behavior in the size over the interval.

Knowledge representationPlanningAI hardwareG06F 11/3636G06F 21/556G06F 11/3037G06F 11/36G06F 11/366

AI classification

AI hardware1.00
Knowledge representation0.88
Planning0.87
Vision0.16
Machine learning0.03
Natural language0.00
Evolutionary computation0.00
Speech0.00

Ownership

BMC SOFTWARE, INC.

assignment · 351030982

Assignors

KOMISSAR, GILAD A., KOREN, EYAL, DAFNER, ASAF

On an employer assignment, the assignors are typically the inventors.

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