Code Ownership Anomaly Detection via Organizational Mapping
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Solution Overview
Problem
Conventional static and dynamic code analysis techniques fail to detect issues related to code ownership and organizational structure, leading to inefficiencies such as resource misallocation, duplicate code, and increased build times due to ownership inconsistencies and architecture violations.
Innovation Solution
A computer-implemented method generates data structures indicating software module dependencies and organizational information to detect anomalies in code assignments, allowing for automatic remediation of ownership issues by reassigning teams or modifying code structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional static code analysis techniques are used to analyze source code, then programming issues can be detected, but issues related to code organization and maintenance by the organization cannot be detected
Solution Approach 1:
The patent merges static code analysis with organizational structure analysis by integrating code dependency graphs with organizational charts. This combination allows the system to detect both programming issues and organizational maintenance issues within a unified analysis framework, resolving the contradiction between detection precision and detection scope.
Solution Approach 2:
The analysis system is designed to perform multiple functions: analyzing code structure, tracking dependencies, mapping to organizational units, and detecting various types of anomalies. This multi-functional approach enables the system to address both traditional code quality issues and organizational maintenance issues, expanding detection versatility while maintaining precision.
2Productivity
If code ownership is not properly aligned with organizational structure, then development may proceed without coordination, but resource misallocation and duplicate code occur
Solution Approach 1:
The system establishes a feedback mechanism by continuously monitoring code ownership assignments against organizational structure and automatically detecting misalignments. This feedback loop enables timely corrections to resource allocation, preventing duplicate code and ensuring efficient utilization while maintaining development productivity.
Solution Approach 2:
The system performs preliminary analysis of code dependencies and organizational structure to identify potential ownership conflicts before they manifest as problems. By proactively detecting misalignments between code modules and organizational units, the system prevents resource misallocation and duplicate code creation while allowing development to proceed smoothly.
3Stability of the object's composition
If code dependencies are not tracked against organizational structure, then module independence is maintained, but build times increase due to ownership inconsistencies
Solution Approach 1:
The system introduces an intermediary layer that maps code dependencies to organizational structure. This intermediary mapping enables the system to track ownership relationships without disrupting module independence, allowing for optimized build processes that respect both modular architecture and organizational boundaries, thereby reducing build times.
4Adaptability or versatility
If manual code ownership assignment is used, then flexibility in assignment is maintained, but anomalies in code assignments go undetected
Solution Approach 1:
The system implements self-service anomaly detection by automatically comparing code ownership assignments against organizational structure and dependency relationships. This automated self-check mechanism maintains assignment flexibility while continuously detecting anomalies, eliminating the need for manual verification while preserving managerial flexibility in ownership assignment.
Data Source
AI summary
Methods, apparatus, and processor-readable storage media for detecting software code anomalies based on organizational information are provided herein. An example computer-implemented method includes generating at least one first data structure comprising information indicating dependencies between software modules associated with a software project of an organization; determining portions of the software project that are assigned to respective groups of individuals associated with the organization based at least in part on a second data structure, where the second data structure includes information indicating an organizational structure; detecting one or more anomalies in the assignment of the portions of the software project corresponding to the dependencies in the first data structure using one or more anomaly criteria, with respect to the information in the second data structure; and automatically causing one or more actions to be performed to mitigate at least a portion of the one or more anomalies.


