Version Control Graph for Automated Software Issue Resolution
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Solution Overview
Problem
Identifying and resolving software issues within software components is a labor-intensive and difficult process, even with the use of various development tools and workflow systems, as existing technologies lack efficient mechanisms for comparing and applying changes across different branches of a software component.
Innovation Solution
The implementation of a system that utilizes a version control graph to identify relationships between software component branches, allowing for the determination of applicable changes and automatic application of fixes, along with an issue tracking system to manage and prioritize issues based on relevance and similarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual processes are used to identify and resolve software issues across branches, then developers can maintain control and understand changes, but the process becomes extremely labor-intensive and time-consuming
Solution Approach 1:
The system enables automated self-service by allowing the issue tracking system to automatically detect, analyze, and resolve issues across branches without manual intervention. The system autonomously compares code changes, identifies relevant issues, and applies resolutions, freeing developers from manual issue tracking while maintaining system control.
Solution Approach 2:
Manual mechanical processes of issue tracking and analysis are replaced with automated computational systems. The system uses algorithms to automatically compare code changes across branches, identify relevant issues, and apply resolutions, substituting human manual labor with automated mechanical processes.
2Measurement precision
If developers manually track and analyze changes across multiple branches, then they can ensure accuracy and relevance of issue resolutions, but the complexity and time required increases significantly
Solution Approach 1:
The system segments the complex issue tracking process into distinct automated components: code change detection, similarity analysis, issue matching, and resolution application. Each segment handles a specific aspect of the process, reducing overall system complexity while maintaining high precision in issue identification through specialized automated functions.
3Productivity
If automated systems are implemented to resolve issues across branches, then productivity increases and manual effort decreases, but the system complexity and difficulty of implementation increase
Solution Approach 1:
The issue tracking system is designed with universal multi-functionality, serving as a centralized platform that automatically handles issue detection, analysis, tracking, and resolution across multiple branches. This single automated system performs multiple functions that would otherwise require separate tools and manual processes, increasing productivity while managing complexity through consolidation.
Data Source
AI summary
Technologies are described herein for use in identifying and resolving software issues. One or more corrective actions may be identified and taken that are based upon the similarity between an unresolved issue and one or more resolved issues and/or upon the similarity between code changes made to resolve similar previously resolved issues. A version control graph might also be utilized to determine if a change made to resolve an issue in one branch of a software component is applicable to another branch of the software component. The version control graph might also be utilized to compute the relevance of an entry in an issue tracking system for an issue at a point in time after the entry is created in the issue tracking system.