Source Code Version Mapping in Distributed Systems
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Solution Overview
Problem
In distributed systems, there is a lack of effective methods to identify and synchronize source code versions with deployed executables across development and runtime environments, leading to potential overwriting of changes and difficulties in determining the correct source code version, especially when developers are unavailable or when systems are complex and error-prone.
Innovation Solution
A system that maps source code from a development environment to deployed executables in a runtime environment using metadata stored in a non-transient storage medium, enabling versioning functions such as import, export, difference comparison, and conflict resolution, ensuring that the source code version from which the deployed executable was produced is always known.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If developers manually compare source code with executables to determine version correspondence, then version identification accuracy is improved, but time delay and operational complexity increase significantly
Solution Approach 1:
The patent introduces a versioning engine as an intermediary system that automatically tracks and maps source code versions to deployed executable versions. This mediator maintains version correspondence information without requiring developers to manually compare files, thereby achieving accurate version identification while eliminating time delays associated with manual comparison processes.
Solution Approach 2:
The versioning engine enables the system to self-track and self-report version correspondences between source code and executables. Developers can query version information through automated interfaces without performing manual comparison tasks, allowing the system to serve its own version tracking needs automatically.
2Measurement precision
If developers manually contact each other to determine version correspondence, then version identification accuracy is improved, but device complexity and operational burden increase
Solution Approach 1:
The versioning engine serves as an automated intermediary that handles version correspondence queries without requiring direct developer communication. The system maintains centralized version mapping data that can be queried automatically, eliminating the need for developers to manually contact each other while maintaining accurate version identification.
3Adaptability or versatility
If source code is not made available after deployment, then deployment flexibility is improved, but version identification capability deteriorates
Solution Approach 1:
The versioning engine acts as an intermediary that maintains version correspondence information independently of source code availability. It tracks the mapping between source code versions and deployed executable versions, allowing version identification even when the original source code is not accessible or available for comparison.
4Productivity
If automated version tracking is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The versioning engine is designed as a multi-functional system that handles version tracking, version mapping, and version querying operations. By consolidating these functions into a single system component, the patent achieves automated version tracking efficiency while managing system complexity through functional integration rather than multiple separate systems.
Data Source
AI summary
The disclosure provides a solution for associating deployed executables with source code. In the solution, source code of a development environment can be mapped to a deployed executable of a runtime environment. The mapping can ensure that a version of source code from which the deployed executable was produced is always known. The mapping can occur within digitally encoded data stored in a non-transient storage medium. The development environment and the runtime environment can be two distinct and separate computing environments that are isolated from each other.