Automated Code Dependency Identification
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Solution Overview
Problem
Current software update processes are inefficient, requiring significant time and technical expertise, often causing inconvenience and potential changes in functionality or performance that may reduce software usefulness, as they depend on identifying necessary earlier updates and determining update commutativity to avoid interference.
Innovation Solution
An automated method for determining code dependencies by analyzing whether a first code update can be implemented on a reference version with undone changes from a second code update, forming update chains, and testing their commutativity to identify necessary or interfering updates, using a comparison engine to streamline the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual software update processes are used to ensure correct application of code changes, then reliability of update application is improved, but loss of time and productivity deteriorate due to significant time required and need for technical expertise
Solution Approach 1:
The system performs automated dependency analysis and update sequencing without requiring technical personnel intervention. The computer automatically analyzes code changes, determines dependencies, and applies updates in the correct sequence, enabling self-service update application that maintains reliability while eliminating manual labor time
Solution Approach 2:
The system performs preliminary automated analysis of code change dependencies before actual updates are applied. By pre-determining the correct application sequence and identifying all necessary dependencies in advance, the system prepares the update plan beforehand, ensuring reliable application while minimizing the actual update time
2Adaptability or versatility
If comprehensive software updates are applied to ensure all necessary code changes are implemented, then completeness of functionality is improved, but changes in functionality or performance may occur that reduce software usefulness
Solution Approach 1:
The system extracts and identifies only the specific code changes that are necessary for the requested update, separating them from unnecessary changes. By selectively applying only the extracted essential changes and their direct dependencies, the system ensures completeness of necessary functionality while avoiding harmful undesired changes to other software features
Solution Approach 2:
The system applies updates with local precision by determining exactly which code files and functions need to be modified. Rather than applying blanket comprehensive updates, the system targets only the specific local areas where code changes are necessary, ensuring functional completeness while preserving unrelated software features that do not need modification
3Productivity
If automated dependency analysis is performed to identify necessary updates, then productivity is improved, but device complexity increases due to the comparison engine and analysis processes
Solution Approach 1:
The comparison engine is designed as a universal system that handles multiple types of code changes, dependency relationships, and update scenarios through a single automated framework. By consolidating these diverse functions into one multi-functional engine, the system achieves high productivity through automation while avoiding the need for multiple separate complex tools, thus managing overall system complexity
Data Source
AI summary
A first code update is received having a first code change. It is determined whether the first code change of the first code update can be implemented on a first reference code version on which at least one code change of a second code update has been undone.