Decision-Tree Error Codes for Software Execution Tracing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for identifying the root cause of software application errors are inefficient and resource-intensive, lacking information about input data and requiring tedious manual processes due to the lack of path and data association in conventional error codes and log entries.
Innovation Solution
A system that generates error codes using a decision tree to determine the path of software application execution and associated data, enabling efficient identification of the root cause by providing a unique set of identifiers for functions and input data, facilitating automated updates and documentation retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional error codes and log entries are used for error identification, then the error detection process is simple, but the root cause analysis becomes tedious and resource-intensive due to lack of path and data association
Solution Approach 1:
The system performs preliminary action by automatically generating comprehensive error codes that include execution path information and input data associations before manual analysis is needed. This pre-packaging of diagnostic information eliminates the need for tedious manual tracing of error sources, directly reducing analysis time while maintaining simple error detection.
Solution Approach 2:
The error code serves as an intermediary that bridges the gap between error detection and root cause analysis. By embedding execution path and data association information within the error code structure, it mediates between simple error identification and complex diagnostic requirements, enabling efficient root cause analysis without manual intervention.
2Measurement precision
If detailed information about input data and execution path is included in error codes, then root cause analysis accuracy improves, but the complexity of generating and processing error codes increases
Solution Approach 1:
The error code is segmented into distinct components: execution path information, input data associations, and error type identifiers. This segmentation allows the system to provide detailed diagnostic information without creating monolithic complex structures, making the error code generation and processing more manageable while maintaining high diagnostic accuracy.
Solution Approach 2:
The system changes parameters by transforming raw execution data into structured error code parameters. By converting complex execution paths and data associations into standardized parameter formats within error codes, the system achieves high measurement precision while controlling processing complexity through parameter standardization.
3Device complexity
If manual processes are used for error analysis without automated path and data association, then the system complexity remains low, but the resource consumption and time required for error resolution increase significantly
Solution Approach 1:
The error code generation system performs self-service by automatically capturing execution path information and input data associations without requiring external manual intervention. This automation enables the system to generate diagnostically rich error codes independently, improving error resolution speed while keeping system complexity manageable through self-contained error code structures.
Solution Approach 2:
The system implements feedback by automatically incorporating execution path and data association information into error codes based on runtime observations. This feedback mechanism enables automated error analysis without complex external systems, improving productivity through intelligent use of execution data while maintaining reasonable system complexity.
Data Source
AI summary
Some examples of the present disclosure relate to error code generation for software application executions. In one particular example, a system can determine an error in an execution of a software application. The system can determine, based on a decision tree representing the software application, an error code associated with the error. The error code can be a subset of a plurality of identifiers indicating a path of the execution of the software application and data associated with the path. The system can perform an action in response to the error code.