TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

From monolithic systems to microservices: A decomposition framework based on process mining

Tutkimustuotosvertaisarvioitu

Standard

From monolithic systems to microservices : A decomposition framework based on process mining. / Taibi, Davide; Systä, Kari.

CLOSER 2019 - Proceedings of the 9th International Conference on Cloud Computing and Services Science. toim. / Donald Ferguson; Victor Mendez Munoz; Markus Helfert; Claus Pahl. SCITEPRESS, 2019. s. 153-164.

Tutkimustuotosvertaisarvioitu

Harvard

Taibi, D & Systä, K 2019, From monolithic systems to microservices: A decomposition framework based on process mining. julkaisussa D Ferguson, VM Munoz, M Helfert & C Pahl (toim), CLOSER 2019 - Proceedings of the 9th International Conference on Cloud Computing and Services Science. SCITEPRESS, Sivut 153-164, Heraklion, Crete, Kreikka, 2/05/19. https://doi.org/10.5220/0007755901530164

APA

Taibi, D., & Systä, K. (2019). From monolithic systems to microservices: A decomposition framework based on process mining. teoksessa D. Ferguson, V. M. Munoz, M. Helfert, & C. Pahl (Toimittajat), CLOSER 2019 - Proceedings of the 9th International Conference on Cloud Computing and Services Science (Sivut 153-164). SCITEPRESS. https://doi.org/10.5220/0007755901530164

Vancouver

Taibi D, Systä K. From monolithic systems to microservices: A decomposition framework based on process mining. julkaisussa Ferguson D, Munoz VM, Helfert M, Pahl C, toimittajat, CLOSER 2019 - Proceedings of the 9th International Conference on Cloud Computing and Services Science. SCITEPRESS. 2019. s. 153-164 https://doi.org/10.5220/0007755901530164

Author

Taibi, Davide ; Systä, Kari. / From monolithic systems to microservices : A decomposition framework based on process mining. CLOSER 2019 - Proceedings of the 9th International Conference on Cloud Computing and Services Science. Toimittaja / Donald Ferguson ; Victor Mendez Munoz ; Markus Helfert ; Claus Pahl. SCITEPRESS, 2019. Sivut 153-164

Bibtex - Lataa

@inproceedings{73b0f1c2cb7447efb78566d09949cb48,
title = "From monolithic systems to microservices: A decomposition framework based on process mining",
abstract = "Decomposition is one of the most complex tasks during the migration from monolithic systems to microservices, generally performed manually, based on the experience of the software architects. In this work, we propose a 6-step framework to reduce the subjectivity of the decomposition process. The framework provides software architects with a set of decomposition options, together with a set of measures to evaluate and compare their quality. The decomposition options are identified based on the independent execution traces of the system by means of the application of a process-mining tool to the log traces collected at runtime. We validated the process, in an industrial project, by comparing the proposed decomposition options with the one proposed by the software architect that manually analyzed the system. The application of our framework allowed the company to identify issues in their software that the architect did not spot manually, and to discover more suitable decomposition options that the architect did not consider. The framework could be very useful also in other companies to improve the quality of the decomposition of any monolithic system, identifying different decomposition strategies and reducing the subjectivity of the decomposition process. Moreover, researchers could extend our approach increasing the support and further automating the decomposition support.",
keywords = "Cloud-native, Microservice decomposition, Microservice migration, Microservice slicing, Microservices",
author = "Davide Taibi and Kari Syst{\"a}",
year = "2019",
doi = "10.5220/0007755901530164",
language = "English",
pages = "153--164",
editor = "Donald Ferguson and Munoz, {Victor Mendez} and Markus Helfert and Claus Pahl",
booktitle = "CLOSER 2019 - Proceedings of the 9th International Conference on Cloud Computing and Services Science",
publisher = "SCITEPRESS",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - From monolithic systems to microservices

T2 - A decomposition framework based on process mining

AU - Taibi, Davide

AU - Systä, Kari

PY - 2019

Y1 - 2019

N2 - Decomposition is one of the most complex tasks during the migration from monolithic systems to microservices, generally performed manually, based on the experience of the software architects. In this work, we propose a 6-step framework to reduce the subjectivity of the decomposition process. The framework provides software architects with a set of decomposition options, together with a set of measures to evaluate and compare their quality. The decomposition options are identified based on the independent execution traces of the system by means of the application of a process-mining tool to the log traces collected at runtime. We validated the process, in an industrial project, by comparing the proposed decomposition options with the one proposed by the software architect that manually analyzed the system. The application of our framework allowed the company to identify issues in their software that the architect did not spot manually, and to discover more suitable decomposition options that the architect did not consider. The framework could be very useful also in other companies to improve the quality of the decomposition of any monolithic system, identifying different decomposition strategies and reducing the subjectivity of the decomposition process. Moreover, researchers could extend our approach increasing the support and further automating the decomposition support.

AB - Decomposition is one of the most complex tasks during the migration from monolithic systems to microservices, generally performed manually, based on the experience of the software architects. In this work, we propose a 6-step framework to reduce the subjectivity of the decomposition process. The framework provides software architects with a set of decomposition options, together with a set of measures to evaluate and compare their quality. The decomposition options are identified based on the independent execution traces of the system by means of the application of a process-mining tool to the log traces collected at runtime. We validated the process, in an industrial project, by comparing the proposed decomposition options with the one proposed by the software architect that manually analyzed the system. The application of our framework allowed the company to identify issues in their software that the architect did not spot manually, and to discover more suitable decomposition options that the architect did not consider. The framework could be very useful also in other companies to improve the quality of the decomposition of any monolithic system, identifying different decomposition strategies and reducing the subjectivity of the decomposition process. Moreover, researchers could extend our approach increasing the support and further automating the decomposition support.

KW - Cloud-native

KW - Microservice decomposition

KW - Microservice migration

KW - Microservice slicing

KW - Microservices

U2 - 10.5220/0007755901530164

DO - 10.5220/0007755901530164

M3 - Conference contribution

SP - 153

EP - 164

BT - CLOSER 2019 - Proceedings of the 9th International Conference on Cloud Computing and Services Science

A2 - Ferguson, Donald

A2 - Munoz, Victor Mendez

A2 - Helfert, Markus

A2 - Pahl, Claus

PB - SCITEPRESS

ER -