Semantic Dependency in Microservice Architecture: A Framework for Definition and Detection

TL;DR

This paper introduces a Semantic Dependency Matrix and an automated method to identify and analyze semantic dependencies among microservices, highlighting their importance for system maintenance and evolution beyond syntactic dependency detection.

Contribution

It presents a novel framework and automated approach for detecting semantic dependencies in microservice architectures, including hidden dependencies that impact system integrity.

Findings

Semantic dependencies can exist without direct endpoint or data dependencies.

The proposed approach effectively identifies these hidden dependencies.

Understanding semantic dependencies aids in better system maintenance and evolution.

Abstract

Microservices have been a key architectural approach for over a decade, transforming system design by promoting decentralization and allowing development teams to work independently on specific microservices. While loosely coupled microservices are ideal, dependencies between them are inevitable. Often, these dependencies go unnoticed by development teams. Although syntactic dependencies can be identified, tracking semantic dependencies - when multiple microservices share similar logic - poses a greater challenge. As systems evolve, changes made to one microservice can trigger ripple effects, jeopardizing system consistency and requiring updates to dependent services, which increases maintenance and operational complexity. Effectively tracking different types of dependencies across microservices is essential for anticipating the impact of such changes. This paper introduces the Semantic Dependency Matrix as an instrument to address these challenges from a semantic perspective. We propose an automated approach to extract and represent these dependencies and demonstrate its effectiveness through a case study. This paper takes a step further by demonstrating the significance of semantic dependencies, even in cases where there are no direct dependencies between microservices. It shows that these hidden dependencies can exist independently of endpoint or data dependencies, revealing critical connections that might otherwise be overlooked.