Error Handling System for Custom Software Integration
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Solution Overview
Problem
In sophisticated computing environments, existing data integration software applications are generic and require extensive customization, leading to time-consuming and costly processes, especially when errors occur during integration process execution, as they often necessitate debugging of process component or data profile code sets.
Innovation Solution
A system and method that differentiate between user input errors and code-related errors, suggesting resolutions based on error identifiers and confidence scores, leveraging a database of past fixes to guide users towards efficient corrections without unnecessary code revisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If generic data integration software is used, then the software can be deployed quickly, but extensive customization is required leading to time-consuming and costly error resolution
Solution Approach 1:
The system implements feedback by logging error identifiers and their resolutions in a database, then using this historical data to provide suggested fixes for future errors. When an error occurs, the system queries the database for matching error identifiers and returns proven resolutions, creating a closed-loop learning system that improves over time.
Solution Approach 2:
The system enables self-service error resolution by automatically suggesting fixes based on error identifiers and historical data. Users can quickly apply suggested resolutions without requiring extensive debugging expertise or lengthy code analysis, allowing the system to resolve its own errors autonomously.
2Reliability
If code debugging is performed for error resolution, then accurate fixes can be achieved, but the process is lengthy and costly
Solution Approach 1:
The system performs preliminary action by pre-logging error identifiers and their successful resolutions in a database during normal operation. When an error occurs, the system can immediately query this pre-prepared knowledge base for suggested fixes, eliminating the need for time-consuming real-time debugging while maintaining high accuracy through proven solutions.
Solution Approach 2:
The system uses copying by replicating successful error resolution patterns from historical data. Instead of debugging each error from scratch, the system copies proven fixes from the database that match the current error identifier, rapidly reproducing successful resolutions across multiple error instances.
3Adaptability or versatility
If extensive customization is applied to generic software, then specific user needs are met, but the complexity of error handling increases
Solution Approach 1:
The system implements universality by creating a platform-independent error handling mechanism that works across different customized integration processes. The error identifier database stores universal patterns that can match errors regardless of the specific customization or process type, providing a unified approach to error resolution that scales with customization without increasing complexity.
Data Source
AI summary
An error revision suggestion method for customized software integration applications may comprise storing a plurality of customized software integration applications for specific integration processes for transforming data to enable electronic data exchange, generated from a customized visual model with a plurality of visual modeling elements representing customized executable code sets. The method may further comprise transmitting an executable run-time engine for a first of the plurality of customized software integration applications and a first customized code set for execution at a specific user business process system, receiving an indication an error has occurred during execution of the first customized code set, and transmitting an instruction to the user indicating a correction to erroneous user input is required to resolve the error if the error is associated in a resolve database with a previously executed correction to erroneous user input.