Dependency Graph Mining Algorithms for Conflict Detection and Resolution in Polyglot API Ecosystems with Version Control

Amelia Amihan Diana

Authors

Amelia Amihan Diana Software Developer - Integration and API Author

Keywords:

Dependency Graph Mining, API Conflict Resolution, Polyglot Programming, Version Control, Software Evolution, Multi-language Repositories

Abstract

In increasingly heterogeneous software development environments, modern applications often depend on multiple programming languages and third-party APIs, leading to complex dependency structures. These polyglot API ecosystems introduce challenges in dependency conflict detection and resolution, especially across different version control systems. This paper proposes a novel framework leveraging dependency graph mining algorithms to detect and resolve versioning conflicts in polyglot environments. The approach integrates static code analysis, semantic version resolution, and machine learning-based pattern recognition over large-scale codebases. A prototype system was evaluated across open-source repositories featuring Java, Python, JavaScript, and Rust APIs. The results show improved accuracy and early conflict detection capabilities compared to baseline tools.

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