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
[1]   Serverless Computing: Economic and Architectural Impact [J].
Adzic, Gojko ;
Chatley, Robert .
ESEC/FSE 2017: PROCEEDINGS OF THE 2017 11TH JOINT MEETING ON FOUNDATIONS OF SOFTWARE ENGINEERING, 2017, :884-889
[2]  
Ahmadvand M, 2016, 2016 IEEE 24TH INTERNATIONAL REQUIREMENTS ENGINEERING CONFERENCE WORKSHOPS (REW), P68, DOI [10.1109/REW.2016.026, 10.1109/REW.2016.14]
[3]  
Al-Debagy O., 2019, PERIODICA POLYTECHNI
[4]  
Al-Debagy O, 2020, 2020 IEEE 15TH INTERNATIONAL CONFERENCE OF SYSTEM OF SYSTEMS ENGINEERING (SOSE 2020), P289, DOI 10.1109/SoSE50414.2020.9130466
[5]  
Assuncao W. K. G., 2021, SANER 2021
[6]  
Bajaj Deepali, 2020, Information, Communication and Computing Technology: 5th International Conference, ICICCT 2020. Communications in Computer and Information Science (1170), P111, DOI 10.1007/978-981-15-9671-1_9
[7]   Microservices Identification Through Interface Analysis [J].
Baresi, Luciano ;
Garriga, Martin ;
De Renzis, Alan .
SERVICE-ORIENTED AND CLOUD COMPUTING (ESOCC 2017), 2017, 10465 :19-33
[8]  
Brito M., 2021, SAC 21
[9]  
Carvalho L., 2020, ICSME 2020
[10]  
Chen R., 2017, APSEC
123456