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A modular approach to calculate service-based maintainability metrics from runtime data of Microservices

  • While several service-based maintainability metrics have been proposed in the scientific literature, reliable approaches to automatically collect these metrics are lacking. Since static analysis is complicated for decentralized and technologically diverse microservice-based systems, we propose a dynamic approach to calculate such metrics from runtime data via distributed tracing. The approach focuses on simplicity, extensibility, and broad applicability. As a first prototype, we implemented a Java application with a Zipkin integrator, 23 different metrics, and five export formats. We demonstrated the feasibility of the approach by analyzing the runtime data of an example microservice based system. During an exploratory study with six participants, 14 of the 18 services were invoked via the system’s web interface. For these services, all metrics were calculated correctly from the generated traces.

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Author of HS ReutlingenBogner, Justus; Zimmermann, Alfred
Erschienen in:Product-focused software process improvement : 20th International Conference, PROFES 2019, Barcelona, Spain, November 27-29, 2019, proceedings. - (Programming and software engineering ; 11915)
Place of publication:Cham
Editor:Xavier Franch
Document Type:Conference proceeding
Publication year:2019
Tag:Microservices; dynamic analysis; maintainability metrics
Page Number:8
First Page:489
Last Page:496
PPN:Im Katalog der Hochschule Reutlingen ansehen
DDC classes:005 Computerprogrammierung, Programme, Daten
Open access?:Nein
Licence (German):License Logo  In Copyright - Urheberrechtlich geschützt