research-article

Towards microservice smells detection

Authors:

Ilaria Pigazzini,

Francesca Arcelli Fontana,

Valentina Lenarduzzi,

Davide TaibiAuthors Info & Claims

TechDebt '20: Proceedings of the 3rd International Conference on Technical Debt

Pages 92 - 97

https://doi.org/10.1145/3387906.3388625

Published: 25 September 2020 Publication History

Abstract

With the adoption of microservices architectural styles, practitioners started noticing increasing pitfalls in managing and maintaining such architectures, with the risk of introducing architectural debt. Previous studies identified different microservice smells (also named anti-patterns) that harm microservices architectures. However, according to our knowledge, there are no tools that can automatically detect microservice smells, so their identification is left to the experience of the developer. In this paper, we extend an existing tool developed for the detection of architectural smells to explore microservices architecture through the detection of three microservice smells: Cyclic Dependencies, Hard-Coded Endpoints, and Shared Persistence. We detected the smells on five open-source projects implemented with microservices and manually validated the precision of the detection results. This work aims to open new perspectives on facing and studying architectural debt in the field of microservices architectures.

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Talaver OVakaliuk T(2024)Telemetry to solve dynamic analysis of a distributed systemJournal of Edge Computing10.55056/jec.7283:1(87-109)Online publication date: 21-May-2024
https://doi.org/10.55056/jec.728
Lv WYang PZheng TLin CWang ZDeng MWang Q(2024)Graph-Reinforcement-Learning-Based Dependency-Aware Microservice Deployment in Edge ComputingIEEE Internet of Things Journal10.1109/JIOT.2023.328922811:1(1604-1615)Online publication date: 1-Jan-2024
https://doi.org/10.1109/JIOT.2023.3289228
Bonorden Lvan Hoorn A(2024)Detecting Usage of Deprecated Web APIs via Tracing2024 IEEE 21st International Conference on Software Architecture (ICSA)10.1109/ICSA59870.2024.00011(23-33)Online publication date: 4-Jun-2024
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Information & Contributors

Information

Published In

cover image ACM Conferences

TechDebt '20: Proceedings of the 3rd International Conference on Technical Debt

June 2020

131 pages

ISBN:9781450379601

DOI:10.1145/3387906

General Chair:
Clemente Izurieta
Montana State University
,
Program Chairs:
Matthias Galster
University of Canterbury
,
Michael Felderer
University of Innsbruck

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 25 September 2020

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June 28 - 30, 2020

Seoul, Republic of Korea

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TechDebt '20 Paper Acceptance Rate 14 of 31 submissions, 45%;

Overall Acceptance Rate 14 of 31 submissions, 45%

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Cited By

Talaver OVakaliuk T(2024)Telemetry to solve dynamic analysis of a distributed systemJournal of Edge Computing10.55056/jec.7283:1(87-109)Online publication date: 21-May-2024
https://doi.org/10.55056/jec.728
Lv WYang PZheng TLin CWang ZDeng MWang Q(2024)Graph-Reinforcement-Learning-Based Dependency-Aware Microservice Deployment in Edge ComputingIEEE Internet of Things Journal10.1109/JIOT.2023.328922811:1(1604-1615)Online publication date: 1-Jan-2024
https://doi.org/10.1109/JIOT.2023.3289228
Bonorden Lvan Hoorn A(2024)Detecting Usage of Deprecated Web APIs via Tracing2024 IEEE 21st International Conference on Software Architecture (ICSA)10.1109/ICSA59870.2024.00011(23-33)Online publication date: 4-Jun-2024
https://doi.org/10.1109/ICSA59870.2024.00011
Wang SJin BYu DCheng S(2024)ASDMG: business topic clustering-based architecture smell detection for microservice granularitySoftware Quality Journal10.1007/s11219-024-09681-532:3(1341-1374)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1007/s11219-024-09681-5
Cerny TAbdelfattah AYero JTaibi D(2024)From static code analysis to visual models of microservice architectureCluster Computing10.1007/s10586-024-04394-727:4(4145-4170)Online publication date: 24-Apr-2024
https://dl.acm.org/doi/10.1007/s10586-024-04394-7
Su R(2024)Technical Debt and Software Quality in Cloud-Native ApplicationsSoftware Architecture. ECSA 2024 Tracks and Workshops10.1007/978-3-031-71246-3_8(65-71)Online publication date: 1-Sep-2024
https://doi.org/10.1007/978-3-031-71246-3_8
Matar RJahic J(2024)MDEPT: Microservices Design Evaluator and Performance TesterSoftware Architecture10.1007/978-3-031-70797-1_9(138-154)Online publication date: 1-Sep-2024
https://doi.org/10.1007/978-3-031-70797-1_9
Huizinga AParker GAbdelfattah ALi XCerny TTaibi D(2024)Detecting Microservice Anti-patterns Using Interactive Service Call Graphs: Effort AssessmentNext Generation Data Science10.1007/978-3-031-61816-1_15(212-227)Online publication date: 27-Jun-2024
https://doi.org/10.1007/978-3-031-61816-1_15
Wizenty PPonce FRademacher FSoldani JAstudillo HBrogi ASachweh S(2024)Model-Driven Security Smell Resolution in Microservice Architecture Using LEMMASoftware Technologies10.1007/978-3-031-61753-9_3(29-49)Online publication date: 24-May-2024
https://doi.org/10.1007/978-3-031-61753-9_3
Soldani JRendina DFontana FBrogi A(2023)Kubernetes-Enabled Detection and Resolution of Architectural Smells for Microservices2023 IEEE International Conference on Service-Oriented System Engineering (SOSE)10.1109/SOSE58276.2023.00015(75-80)Online publication date: Jul-2023
https://doi.org/10.1109/SOSE58276.2023.00015
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