Semantic API Versioning for Interface and Implementation Changes

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Solution Overview

Problem

Existing API versioning systems lack semantic meaning, leading to difficulties in distinguishing between deployments with different implementations and interfaces, and manual processes are prone to errors and inefficiencies in replicating deployments across environments.

Innovation Solution

Automated generation of semantic software versions for application programming interfaces (APIs) using a method that determines version numbers based on changes to the interface and implementation, incorporating major, minor, and patch version increments to convey semantic meaning about the nature of changes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual version number management is used, then developers can track API versions, but the process is time-consuming and prone to human error

Engineering Contradiction:
Improveversion number accuracyVSAvoidtime for version management
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs self-service by automatically analyzing interface changes and calculating version numbers without requiring manual developer intervention. The automated versioning system compares interface definitions, identifies changes, and generates appropriate version numbers based on semantic versioning rules, eliminating the need for manual tracking and reducing human error.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The manual mechanical process of tracking and deciding version numbers is replaced with an automated computational system. The system uses algorithms to analyze interface changes, determine the type of change (major, minor, or patch), and automatically generate version numbers, substituting human judgment with systematic automated analysis.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Loss of information

If traditional version numbers are used, then deployments can be identified, but the version numbers do not convey semantic meaning about changes

Engineering Contradiction:
Improvesemantic meaning of changesVSAvoidversioning system complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The system changes the parameters of version numbering by implementing semantic versioning with specific rules based on the type of interface change. Major version increments are triggered by breaking changes, minor version increments by non-breaking feature additions, and patch version increments by bug fixes. This parameter-based approach encodes semantic meaning directly into the version number structure.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system introduces an intermediary analysis layer that examines interface changes and maps them to appropriate version number increments. This intermediary process analyzes the nature of changes (breaking, non-breaking, feature addition) and translates them into the corresponding semantic version number format, providing meaningful information without requiring complex manual documentation.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Productivity

If interface and implementation changes are managed separately by different people, then specialized expertise is utilized, but communication overhead increases and errors occur

Engineering Contradiction:
Improvedeployment replication speedVSAvoidcoordination complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system merges the separate tracking of interface changes and implementation changes into a unified automated versioning process. By combining both types of changes in a single analysis framework, the system generates comprehensive version numbers that reflect both interface and implementation modifications, eliminating the need for separate coordination and communication between different team members.

Inventive Principle:
Principle #5Merging (Combining)

4Reliability

If manual recording of implementation version numbers is required, then deployment replication is possible, but the process is error-prone and inefficient

Engineering Contradiction:
Improvedeployment replication accuracyVSAvoiddeployment replication efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system creates accurate copies of deployment configurations by automatically capturing and storing the relationship between version numbers and their corresponding interface and implementation definitions. This automated copying mechanism ensures that deployment information is replicated accurately across environments without manual intervention, eliminating transcription errors and improving efficiency.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS12524227B2Automated generation of semantic software versions for application programming interfaces
Publication Date: 2026.01.13 BOOMI LP
  • US12524227B2 patent drawing
  • US12524227B2 patent drawing
  • US12524227B2 patent drawing

AI summary

Traditionally, version numbers for application programming interfaces are determined manually and do not convey semantic meaning. Accordingly, disclosed embodiments automatically generate a version number for an application programming interface based on the changes, if any, from a past deployment to a current deployment of the application programming interface. The version number may comprise a major version number that is incremented when a change is to the interface and affects the operation of clients that utilize the application programming interface. The version number may also comprise a minor version number that is incremented when a change is to the interface, but does not affect the operation of clients. The version number may also comprise a patch version number that is incremented when a change is only to the implementation of the application programming interface.