Automated Hotfix Handling Model for Defect Priority Assessment
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Solution Overview
Problem
Current software development processes lack effective linkage between field-identified defects and corresponding engineering fixes, leading to inadequate priority and urgency assessment, inefficient hotfix handling, and increased maintenance overhead due to manual and semi-manual processes that lack coordination among critical stake owners.
Innovation Solution
An automated hotfix handling model that cumulates multiple hotfixes and involves critical stake owners from multiple teams, using a system with repositories for defect tracking, source code management, and notification mechanisms to streamline the hotfix release process, and a predictive model for automated fix handling that assesses priority and urgency using historical data and metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual and semi-manual processes are used for hotfix handling, then flexibility in defect tracking is maintained, but maintenance overhead increases and coordination among stake owners becomes inefficient
Solution Approach 1:
The system automatically performs defect tracking, priority assessment, and hotfix coordination without requiring manual intervention. The automated model evaluates defects, determines priorities, and manages the hotfix release process, allowing the system to serve itself and eliminating the need for manual and semi-manual processes while reducing maintenance overhead
Solution Approach 2:
The patent replaces manual mechanical processes with an automated computational system. The automated model uses algorithms and data processing to perform defect assessment and hotfix management, substituting human manual operations with an automated electronic system that reduces complexity and improves efficiency
2Productivity
If automated processes are implemented for hotfix handling, then maintenance overhead is reduced and efficiency is improved, but coordination among multiple stake owners becomes more complex
Solution Approach 1:
The automated model serves multiple functions simultaneously: it tracks defects, assesses priorities, evaluates urgencies, and coordinates hotfix releases. This multi-functional system handles various stake owner requirements through a single unified platform, improving efficiency while managing coordination complexity through integration rather than separate processes
3Measurement precision
If linkage between field-identified defects and engineering fixes is established, then priority and urgency assessment accuracy is improved, but system complexity increases
Solution Approach 1:
The system establishes a feedback loop where field-identified defects are tracked through the engineering fix process. The automated model continuously monitors defect status, assesses priority and urgency based on accumulated data, and adjusts assessments as fixes progress. This feedback mechanism improves assessment accuracy by using actual process data while managing complexity through automated data collection and analysis
4Speed
If cumulative hotfixes are released without predictive analysis, then release speed is maintained, but code stability and vulnerability understanding deteriorates
Solution Approach 1:
The automated model performs preliminary predictive analysis before cumulative hotfixes are released. It assesses potential code stability issues and vulnerabilities in advance, allowing the system to maintain fast release speeds while ensuring code quality. The predictive analysis prepares assessments beforehand, so releases can proceed quickly with pre-evaluated stability information
Data Source
AI summary
This disclosure relates to a method, article of manufacture, and apparatus for predictive model of automated fix handling. In some embodiments, this includes decomposing a fix for a defect to features, establishing a mapping of the defect and the fix for the defect by associating the features with the defect, storing codes implementing the fix in directories indicating the corresponding features, adding an association of a test case with the features to the mapping, and applying a rule to the mapping to calculate a vulnerability of the fix.