Build Avoidance Without Local Source Code
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Solution Overview
Problem
Conventional build automation tools require local source code for fingerprinting, leading to inefficient network bandwidth usage, storage, and processing cycles, especially in distributed software development environments, and rely on unreliable timestamps for determining source code changes.
Innovation Solution
Generating abstract hash values from source code changes only when actual changes occur, allowing build fingerprints to be created without local source code, enabling a build engine server to compare these fingerprints and avoid rebuilding unchanged components, thus eliminating the need for local source code and timestamp synchronization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional build automation tools use local source code for fingerprinting, then accurate change detection is achieved, but network bandwidth, storage, and processing cycles are excessively consumed
Solution Approach 1:
The patent extracts only the essential identifying feature (hash value) from the source code rather than transferring the entire source code. The build automation tool receives hash values from remote repositories, computes fingerprints from these extracted hash values, and performs change detection without needing the actual source code locally, thereby reducing network bandwidth consumption while maintaining detection accuracy
Solution Approach 2:
Instead of copying actual source code files to the build automation tool, the system copies only the hash values (abstract representations) from remote repositories. These hash value copies are sufficient for fingerprint computation and change detection, eliminating the need to transfer large volumes of source code data
2Productivity
If source code timestamps are used to determine changes, then processing is simplified, but reliability deteriorates due to timestamp updates on file access
Solution Approach 1:
The patent replaces the mechanical timestamp-based change detection system with a hash-based computational system. Instead of relying on file system timestamps that are updated on access, the system uses hash values computed from source code content, providing reliable change detection that is independent of file access operations and timestamp manipulation
3Extent of automation
If source code is transferred to centralized build automation tool, then unified build control is achieved, but distributed environment autonomy is reduced
Solution Approach 1:
The patent segments the build automation function into two independent parts: remote repositories that maintain source code and generate hash values, and the centralized build automation tool that receives hash values and performs fingerprint computation. This segmentation allows distributed repositories to operate autonomously while still enabling centralized build control through the hash value exchange mechanism
4Manufacturing precision
If local source code is required for building, then build accuracy is maintained, but system complexity increases due to source code management and synchronization
Solution Approach 1:
The patent introduces hash values as an intermediary between the remote source code repositories and the centralized build automation tool. These hash values serve as mediators that carry the essential information needed for build accuracy without requiring the actual source code to be present locally, thereby simplifying source code management and reducing system complexity
Data Source
AI summary
A technique controls a new software build. The technique involves receiving abstract hash values for source code components. Each abstract hash value is derived from a most recent source code version of a respective source code component. The technique further involves generating new build fingerprints based on the abstract hash values. The new build fingerprints are different from the abstract hash values received for the source code components. The technique further involves building particular software components of the new software build based on comparisons between the new build fingerprints and respective previous build fingerprints generated during a set of previous software builds.


