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.

Download full text files

  • 2487.pdf
    eng

Export metadata

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Name:Bogner, Justus; Zimmermann, Alfred
DOI:https://doi.org/10.1007/978-3-030-35333-9_34
ISBN:978-3-030-35333-9
Erschienen in:Product-focused software process improvement : 20th International Conference, PROFES 2019, Barcelona, Spain, November 27-29, 2019, proceedings. - (Programming and software engineering ; 11915)
Publisher:Springer
Place of publication:Cham
Editor:Xavier Franch
Document Type:Conference Proceeding
Language:English
Year of Publication:2019
Tag:Microservices; dynamic analysis; maintainability metrics
Pagenumber:8
First Page:489
Last Page:496
Catalogue entry:Im Katalog der Hochschule Reutlingen ansehen
Dewey Decimal Classification:005 Computerprogrammierung, Programme, Daten
Open Access:Nein
Licence (German):License Logo  Lizenzbedingungen Springer