Software Failure Location via State Reproduction

The patent performs preliminary actions by automatically recording system environments (registry settings, running processes, loaded modules, etc.) before software failure occurs. This preliminary data collection enables subsequent reproduction of the failure state without requiring time-consuming manual investigation, thus resolving the contradiction between fast detection and accurate cause identification.

The patent creates a copy of the system environment at the time of failure by recording and storing relevant system data. This copied environment can be reproduced and analyzed later to determine the exact cause of failure, allowing both fast initial detection and thorough subsequent analysis without time loss.

The patent extracts only the necessary and relevant system environment data required for failure analysis, such as registry settings, running processes, and loaded modules. By selectively taking out only the essential information rather than collecting all possible data, the system achieves accurate failure analysis while minimizing resource consumption.

The patent applies local quality by focusing data collection on specific system components and parameters that are most relevant to software failure analysis. Instead of uniformly collecting all system data, it targets specific areas (registry, processes, modules) where failure causes are most likely to be found, optimizing both accuracy and resource efficiency.

The patent implements self-service by enabling the system to automatically detect, record, reproduce, and analyze its own failure states without external intervention. The system serves itself by autonomously collecting environment data, reproducing failure conditions, and identifying causes, which improves productivity while the automation handles the complexity internally.

The patent introduces an intermediary component that acts as a mediator between the software system and the analysis process. This intermediary automatically records system environments and manages the reproduction process, simplifying the overall architecture by centralizing the complexity in a dedicated module rather than distributing it throughout the entire system.