research-article

Towards a Fault Taxonomy for Microservices-Based Applications

Authors:

Francisco Silva,

Valéria Lelli,

Ismayle Santos,

Rossana AndradeAuthors Info & Claims

SBES '22: Proceedings of the XXXVI Brazilian Symposium on Software Engineering

Pages 247 - 256

https://doi.org/10.1145/3555228.3555245

Published: 05 October 2022 Publication History

Abstract

Microservice-based applications support an architectural style that allows the organization of distributed applications as a set of possibly stateless services to achieve scalability and maintainability. They have been widely used in the industry, however, this architecture can bring challenges regarding Fault Tolerance, Fault Prevention, Fault Detection and Fault Handling activities. In the context of microservices, fault injection is more complex since those applications contain mostly asynchronous process. Therefore, a fault injection becomes even more expensive. Several studies in the literature have been handling the complexity of testing microservice-based applications such as investigating the root causes of microservices failures or providing frameworks that allow users injecting faults related to microservices. In this direction, a fault catalog can be beneficial for performing software fault activities. In this work, we conducted a Multivocal Literature Review to catalog faults related to microservice-based applications to better support their development and testing. Then, we defined a taxonomy with 117 faults classified into 6 Non-Functional Requirements and related to 11 characteristics inherent to the microservices architecture.

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Cited By

Sedghpour MDuque ACai XSkubic BElmroth EKlein CTordsson J(2023)HydraGen: A Microservice Benchmark Generator2023 IEEE 16th International Conference on Cloud Computing (CLOUD)10.1109/CLOUD60044.2023.00030(189-200)Online publication date: Jul-2023
https://doi.org/10.1109/CLOUD60044.2023.00030

Index Terms

Towards a Fault Taxonomy for Microservices-Based Applications
1. Software and its engineering
  1. Software creation and management
    1. Software verification and validation
      1. Empirical software validation

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Published In

cover image ACM Other conferences

SBES '22: Proceedings of the XXXVI Brazilian Symposium on Software Engineering

October 2022

457 pages

ISBN:9781450397353

DOI:10.1145/3555228

Editors:
Marcelo Maia
Universidade Federal de Uberlândia (UFU), Brazil
,
Fabiano Dorça
Universidade Federal de Uberlândia (UFU), Brazil
,
Rafael Araújo
Universidade Federal de Uberlândia (UFU), Brazil
,
Christina von Flach
Universidade Federal da Bahia (UFBA), Brazil
,
Elisa Yumi Nakagawa
Universidade de São Paulo (ICMC-USP), Brazil
,
Edna Dias Canedo
Universidade de Brasília (UnB), Brazil

Copyright © 2022 ACM.

© 2022 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Published: 05 October 2022

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SBES 2022

SBES 2022: XXXVI Brazilian Symposium on Software Engineering

October 5 - 7, 2022

Virtual Event, Brazil

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Cited By

Sedghpour MDuque ACai XSkubic BElmroth EKlein CTordsson J(2023)HydraGen: A Microservice Benchmark Generator2023 IEEE 16th International Conference on Cloud Computing (CLOUD)10.1109/CLOUD60044.2023.00030(189-200)Online publication date: Jul-2023
https://doi.org/10.1109/CLOUD60044.2023.00030

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