Feature Flag Detection and Stale Flag Removal in Source Code
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Solution Overview
Problem
Managing feature flags in software development is challenging due to manual management leading to human error, impracticality with large code bases, and issues with code readability, resource consumption, and conflicting audience definitions, necessitating improved automated systems.
Innovation Solution
A data processing system and method that automatically analyze source code to identify, manage, and report feature flags, including generating reports and visualizations, and removing stale flags through a feature flag pipeline.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If feature flags are managed manually, then developers can control feature visibility, but human error increases and management becomes impractical with large code bases
Solution Approach 1:
The system performs self-service by automatically analyzing source code to identify feature flags, correlating them with configuration server data, and generating management actions without requiring manual intervention. This automated self-analysis resolves the contradiction by eliminating human error while maintaining comprehensive control.
Solution Approach 2:
The patent replaces the manual mechanical process of feature flag management with an automated computational system. The code analysis service automatically scans source code, identifies feature flags using regular expressions, correlates them with configuration data, and generates management actions, substituting human manual operations with automated mechanical processes.
2Measurement precision
If automated code analysis is performed to identify feature flags, then management accuracy improves, but processing time and computational resources increase
Solution Approach 1:
The system applies partial action by focusing code analysis on specific patterns and regions where feature flags are likely to exist, rather than analyzing entire code bases uniformly. This targeted approach maintains high identification accuracy while reducing overall processing time and computational overhead.
Solution Approach 2:
The patent utilizes parameter changes by adjusting the sensitivity and scope of code analysis based on code base characteristics. The system dynamically modifies analysis parameters such as search depth, pattern matching strictness, and correlation thresholds to optimize the balance between identification accuracy and processing efficiency for different code bases.
Data Source
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AI summary
Techniques performed by a data processing system for automatically managing feature flags in source code include automatically analyzing source code associated with a software program to identify a set of first feature flags; obtaining, from a configuration server associated with the software program, dynamic configuration information associated with a second set of feature flags, the dynamic configuration information includes configuration information for configuring one or more operating parameters of the software program without redeploying the program; correlating the set of first feature flags included in the source code with the set of second feature flags to match the dynamic configuration information with the feature flags of the set of first feature flags; generating feature flag reporting information; providing the feature flag reporting information to at least one consuming application; and causing the at least one consuming application to perform at least one action associated with at least one feature flag.