IDE Error Querying Module for Legacy Code Debugging
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Solution Overview
Problem
Software developers face productivity issues due to mistakes made while coding, especially when working with unfamiliar legacy applications, leading to repeated errors that could be addressed by leveraging past error resolutions.
Innovation Solution
A common error database is created to store historical error/resolution pairs, allowing developers to receive suggested resolutions in real-time based on relevancy metrics, such as similarity and tagging, within an integrated development environment (IDE).
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If developers work with unfamiliar legacy applications, then they can expand their skill set and work on diverse projects, but they make more mistakes and spend more time debugging
Solution Approach 1:
The system collects feedback from multiple developers about errors encountered and resolutions applied, storing this information in a database. When a developer encounters an error, the system queries the database for similar errors and their resolutions, providing feedback in the form of suggested fixes. This feedback loop allows developers to learn from others' experiences with different applications, maintaining versatility while improving debugging efficiency.
Solution Approach 2:
The system performs preliminary actions by proactively querying the error database before the developer has to manually search for solutions. It automatically identifies similar errors based on the current error message and retrieves relevant resolutions in advance, presenting them to the developer as suggestions. This preliminary retrieval of information reduces the time spent on debugging unfamiliar applications.
2Ease of operation
If developers manually search for error resolutions, then they can find solutions to current errors, but it consumes significant time and reduces productivity
Solution Approach 1:
The system enables self-service by automatically querying the error database and retrieving relevant resolutions without requiring manual searching. The error querying module automatically processes the current error message, searches for similar errors in the database, and presents matched resolutions to the developer. This automated self-service approach maintains ease of finding solutions while dramatically reducing the time spent on manual error resolution searches.
Solution Approach 2:
The system replaces the mechanical process of manual error searching with an automated electronic query system. Instead of developers manually browsing documentation or searching through past errors, the system uses automated text processing and database querying to retrieve relevant resolutions. This substitution of manual mechanical searching with automated electronic retrieval reduces debugging time while maintaining ease of access to solutions.
3Productivity
If a common error database is implemented, then error resolution suggestions can be provided, but the system complexity increases
Solution Approach 1:
The system achieves universality by creating a multi-functional error management platform that serves multiple purposes: storing error information, querying for similar errors, analyzing error patterns, and providing resolutions. The same database and querying infrastructure supports all these functions, reducing overall system complexity compared to having separate systems for each function. This universal error management system improves debugging speed while keeping the architecture manageable through consolidation of functions.
Solution Approach 2:
The system merges multiple components into an integrated error management system: the error database, querying module, analysis engine, and resolution suggestion system are combined into a cohesive architecture. By merging these functions into a unified system rather than separate standalone components, the overall system complexity is reduced while still providing comprehensive error resolution capabilities that improve debugging speed.
Data Source
AI summary
Methods of debugging code in a development environment are provided including compiling code in the development environment; receiving an error message for an error encountered in the compiled code; and automatically receiving a plurality of suggested resolutions for the error in the compiled code. The plurality of suggested resolutions are based on past resolutions of errors associated with a plurality of developers stored in a common database. The plurality of suggested resolutions are provided in order of relevancy based on a plurality of relevancy metrics. Related systems and computer program products are provided.