Visualizing Anti-Patterns in Microservices at Runtime: A Systematic Mapping Study

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00366794" target="_blank" >RIV/68407700:21230/23:00366794 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1109/ACCESS.2023.3236165" target="_blank" >https://doi.org/10.1109/ACCESS.2023.3236165</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ACCESS.2023.3236165" target="_blank" >10.1109/ACCESS.2023.3236165</a>

Result language

angličtina

Original language name

Visualizing Anti-Patterns in Microservices at Runtime: A Systematic Mapping Study

Original language description

In the world of microservices, companies must be able to create systems that operate in the most efficient way. To achieve this, anti-patterns must be avoided because of their detriment to the quality of the system. Some of the most troubling anti-patterns are hard to detect because of their appearance at runtime. Effectively removing anti-patterns from a system requires dynamic analysis because of the large size of microservice-based systems. While the detection of anti-patterns is helpful, being able to visualize them offers a great benefit to companies working with microservices. Seeing how the overall system is flowing and recognizing the existence of anti-patterns can help improve microservice-based systems. In this paper, a systematic mapping study was performed to find the current state of research on visualizing anti-patterns in microservices from the dynamic perspective. Several hundred papers were examined and a total of 31 were found to be relevant to the research topic. The papers, when analyzed, revealed that there are mechanisms to detect anti-patterns at runtime in microservices, and there are also mechanisms for visualizing the architecture of a microservice-based system. This study's findings could help to identify and remove anti-patterns that occur during runtime in microservices, as well as a means of visualizing these anti-patterns.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IEEE Access

ISSN

2169-3536

e-ISSN

2169-3536

Volume of the periodical

11

Issue of the periodical within the volume

January

Country of publishing house

US - UNITED STATES

Number of pages

9

Pages from-to

4434-4442

UT code for WoS article

000917231600001

EID of the result in the Scopus database

2-s2.0-85147296519