mlsanityData to 13 Oct 2026

Survey on Tools and Techniques Detecting Microservice API Patterns

arXiv 2205.10133 ↗First posted 20 May 2022cs.SEcited by 2

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Abstract (arXiv)

It is well recognized that design patterns improve system development and maintenance in many aspects. While we commonly recognize these patterns in monolithic systems, many patterns emerged for cloud computing, specifically microservices. Unfortunately, while various patterns have been proposed, available quality assessment tools often do not recognize many. This article performs a grey literature review to find and catalog available tools to detect microservice API patterns (MAP). It reasons about mechanisms that can be used to detect these patterns. Furthermore, the results indicate gaps and opportunities for improvements for quality assessment tools. Finally, the reader is provided with a route map to detection techniques that can be used to mine MAPs.

Key facts. Cited by 2 papers in the map (data through 13 Oct 2026). First posted on arXiv 20 May 2022.

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Citing papers per year: 2025: 1; 2026: 1.

2 papers.