Memory Corruption Diagnosis via Pattern Expression Matching

The system performs automatic memory corruption diagnosis through self-service mechanisms. The memory monitoring module autonomously detects corruption events, captures core dumps, and the analysis module automatically processes these dumps to identify corruption sources. This eliminates the need for manual programmer intervention while maintaining high diagnosis accuracy, thereby resolving the contradiction between diagnosis precision and time consumption.

The patent introduces an intermediary analysis module that acts as a mediator between the memory corruption event and the programmer. This module includes a core dump processing unit and a corruption source identification unit that automatically analyze memory dumps and identify the root cause of corruption. This intermediary system handles the complex analysis work that would otherwise require skilled programmers, reducing both time consumption and operational complexity while maintaining diagnosis accuracy.

The memory monitoring system is segmented into distinct functional modules: a memory monitoring module that divides memory into header and data sections for separate monitoring, a core dump generation module, and an analysis module. This segmentation allows comprehensive coverage of both memory sections while managing system complexity through modular design, where each module has a specific, manageable function.

The analysis module serves as an intermediary that processes the raw data from comprehensive memory monitoring without requiring the entire monitoring system to be overly complex. It selectively processes core dumps only when corruption is detected, using pattern matching techniques to identify corruption sources efficiently. This intermediary approach enables comprehensive detection capability while keeping resource overhead manageable by processing only relevant data.