A Systematic Literature Review on Migration to Microservices: a Quality Attributes perspective

被引：9
作者：
Capuano, Roberta [1 ]
Muccini, Henry [1 ]
机构：
[1] Univ Aquila, Laquila, Italy
来源：
2022 IEEE 19TH INTERNATIONAL CONFERENCE ON SOFTWARE ARCHITECTURE COMPANION (ICSA-C 2022) | 2022年
关键词：
Migration to microservices; quality attributes; systematic literature review; quality-driven migration;
D O I：
10.1109/ICSA-C54293.2022.00030
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Today's system migration focuses on modernizing legacy and monolithic systems towards microservices' architectures. This study aims at understanding if and how quality attributes improvement are explicitly driving the migration process. We designed and conducted a systematic literature review on the topic. We started from over 2.000 potentially relevant research papers. We applied a selection procedure resulting in 58 selected research papers over the last six years. Our study revealed the following main findings: i) while still limited, quality attributes-driven migration is getting some attention, especially during the microservices identification phase; ii) we related the migration phases to the subset of quality attributes found in the papers accepted for this systematic review.
引用
收藏
页码：120 / 123
页数：4
相关论文
共 59 条
[51]   From Monolithic Architecture Style to Microservice one Based on a Semi-automatic Approach [J].
Selmadji, Anfel ;
Seriai, Abdelhak-Djamel ;
Bouziane, Hinde Lilia ;
Mahamane, Rahina Oumarou ;
Zaragoza, Pascal ;
Dony, Christophe .
IEEE 17TH INTERNATIONAL CONFERENCE ON SOFTWARE ARCHITECTURE (ICSA 2020), 2020, :157-168
[52]  
Sheikh A., 2020, IC2IE 2020
[53]  
Shimoda A., 2018, IIAI AAI 2018
[54]  
Smid A., 2019, Proceedings of the 2019 Research in Adaptive and Convergent Systems, RACS 2019, P261, DOI [DOI 10.1145/3338840.3355659, 10.1145/3338840.3355659]
[55]  
Stranner H., 2020, P 15 INT C EV NOV AP, DOI DOI 10.5220/0009564604980505
[56]  
Sun C.-A., 2020, ICSOC 2019
[57]  
Taibi D., 2019, ARXIV PREPRINT ARXIV
[58]   From Monolithic Systems to Microservices: A Decomposition Framework based on Process Mining [J].
Taibi, Davide ;
Systa, Kari .
CLOSER: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICES SCIENCE, 2019, :153-164
[59]   Automated Microservice Identification in Legacy Systems with Functional and Non-Functional Metrics [J].
Zhang, Yukun ;
Liu, Bo ;
Dai, Liyun ;
Chen, Kang ;
Cao, Xuelian .
IEEE 17TH INTERNATIONAL CONFERENCE ON SOFTWARE ARCHITECTURE (ICSA 2020), 2020, :135-145
123456