From Monolith to Microservice: Measuring Architecture Maintainability

Hasan, Muhammad Hafiz; Osman, Mohd Hafeez; Admodisastro, Novia; Muhammad, Sufri

doi:10.14569/ijacsa.2023.0140591

Cited by 7 publications

(4 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, correlations between more than one quality attribute and how each metric affects product quality are not considered in previous research, as mentioned by (Mishra et al, 2021). Thus, we proposed a scoring evaluation approach for microservice quality metrics (Hasan et al, 2023a) for designers to consider an acceptable maintainability quality for microservice.…”

Section: Evaluate Clustering Scorementioning

confidence: 99%

“…This decision was made based on the perspective that the source code is the single source of truth which holds the latest working application information, compared with architecture documentation which is outdated, incomplete, and seldom maintained (Erdemir et al, 2011;Tamburri & Kazman, 2018). However, due to the different abstraction layers between application source code and application architecture, a reverse engineering approach is necessary to generate the knowledge of existing architecture by converting the source code to the class diagrams for visualizing the structural information, thus providing a better understanding to the migration designers (Hasan et al, 2023a) to proceed with the next decomposition step. This step produces a set of class diagrams as its artefact.…”

Section: Framework Activitiesmentioning

confidence: 99%

“…Applicability on maintainability quality metrics for microservice architecture (Hasan et al, 2023a).…”

Section: Introductionmentioning

confidence: 99%

“…Each normalized median for clustering result will be assigned a scoring value based on the proposed decomposition approach detailed in Section 3.2. The total score demonstrates recommended microservice candidate with the best architectural maintainability quality based on de ned quality metrics from various structural design properties(Hasan et al, 2023a). As a result,…”

mentioning

confidence: 99%

See 3 more Smart Citations

A Quality Driven Framework for Decomposing Legacy Monolith Applications to Microservice Architecture

Hasan

Osman

Admodisastro

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

Transforming monolith applications to microservice architecture is a common cloud migration strategy for businesses to accomplish cloud-native benefits. However, decomposing monolith applications is a challenging task that requires experience, skills, and dedication to initiate this process, and often, the migrated product quality is neglected. The lack of relevant guidelines on the design quality for distributed cloud environment architecture such as microservice further exacerbates this concern. We propose a quality-driven decomposition framework for migrating monolith applications to the cloud-native architecture. Our approach implies six activities in decomposing monolith applications from the source code to the microservice architecture. This framework supports various architectural design properties related to maintainability quality. Furthermore, this framework enhances the machine learning approach to enable automatic microservice identification, hence evaluating the design quality using a scoring-based approach. We use five applications to evaluate our approach, and the results show that our framework can provide insightful judgment to the designer regarding microservice design quality.

show abstract

Section: Evaluate Clustering Scorementioning

confidence: 99%