Emulator-Based Error Scenario Generation for Application Stability
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Solution Overview
Problem
Existing systems are inadequate in effectively handling and preventing application installation and execution errors in computer systems, particularly in enterprise networks with multiple workstations, as they fail to determine error causes and provide comprehensive error correction solutions.
Innovation Solution
A method and system utilizing an emulator, expert system, and error processor to analyze and handle errors by recreating system states, generating error handling scenarios, and storing them in an expert database for automated error processing during software application installation and execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional error handling systems are used, then errors can be detected after occurrence, but error causes cannot be determined and comprehensive correction solutions cannot be provided
Solution Approach 1:
The system performs preliminary error scenario generation by analyzing application code and system state before actual errors occur. Error scenarios are pre-computed and stored in a database, enabling rapid error cause determination when errors actually happen without complex real-time analysis.
Solution Approach 2:
An intermediary error scenario generation system is introduced between the application and the error handling process. This intermediary analyzes application code, generates potential error scenarios, and stores them in a database, acting as a mediator that prepares error handling information in advance.
2Reliability
If application testing is performed on each user system, then execution errors can be detected, but it is not feasible due to the large number of diverse user systems
Solution Approach 1:
Instead of testing on each actual user system, the system creates virtual copies of system states and configurations. Error scenarios are generated by analyzing application code against these copied system states, enabling comprehensive error detection without physically testing on every user system.
Solution Approach 2:
The system varies system configuration parameters and execution environment parameters programmatically to generate diverse error scenarios. By changing parameters such as system state, configuration settings, and execution conditions, the system simulates testing across multiple user systems without actual physical testing.
3Ease of repair
If system roll-back and virtualization means are used for re-installation, then installation errors can be handled, but error causes cannot be determined
Solution Approach 1:
The system implements feedback by tracking and recording system states before and after installation operations. Error scenarios are generated that include information about preceding system states, providing feedback loops that preserve error cause information while enabling automated correction through system roll-back and re-installation.
Data Source
AI summary
A system for processing of errors, including an emulator configured for replicating a state of a computer system so as to trigger an application execution error, and obtaining a cause of the error; an expert system configured for generating a scenario for processing of the error based on the cause; and updating a database that contains an identifier of the error, the cause, the state of the computer and the scenario, including updating an error tree that maintains cumulative information about the errors; and an error processor configured for identifying an occurrence of the error, loading the scenario from the database, and running the scenario.