Automated Missing Program Element Recovery in IDEs
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Solution Overview
Problem
Programming environments often terminate execution or provide error messages when a program element is missing from the working folder or specified path, requiring manual user intervention to locate and resolve the issue, which is time-consuming and impedes development.
Innovation Solution
A computing system that pauses execution and uses historical folder data to automatically or semi-automatically locate missing program elements by searching previously accessed folders and related folders, providing user-friendly display information to facilitate resuming execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system terminates execution or provides error messages when a program element is missing, then execution reliability is maintained, but development time increases due to manual user intervention
Solution Approach 1:
The system performs self-service by automatically locating missing program elements using folder-history data without requiring manual user intervention. The computing system autonomously searches previously accessed folders and related folders to find the missing element, thereby maintaining execution reliability while eliminating time loss associated with manual searching and file reorganization.
2Measurement precision
If the system manually searches for missing program elements, then location accuracy is improved, but automation level decreases
Solution Approach 1:
The system applies preliminary action by pre-recording folder-access history during normal operation. This historical data is stored and later utilized automatically when missing program elements are detected, enabling the system to perform accurate location searches without manual intervention. The preliminary recording of folder access patterns ensures both high location accuracy and full automation when errors occur.
3Reliability
If the system searches multiple folders including super-folders, sibling folders, and sub-folders, then search completeness is improved, but system complexity increases
Solution Approach 1:
The computing system applies universality by implementing a multi-functional search capability that can operate across multiple folder types (super-folders, sibling folders, sub-folders) using a single unified search mechanism. This approach achieves comprehensive search coverage without proportionally increasing system complexity, as the same search infrastructure handles different folder relationships through standardized operations.
Data Source
AI summary
Methods and systems associated with a programming environment are described that provide automated or semi-automated recovery during run-time or compile-time operation in response to attempts to access a program element that is not in a working folder or in a folder location for which a path has been specified for accessing the program element.