Legacy systems to cloud migration: A review from the architectural perspective

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

doi:10.1016/j.jss.2023.111702

Cited by 7 publications

(5 citation statements)

References 30 publications

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“…The Lift-and-Shift approach, for example, only involves taking existing as-is on-premise applications and moving them to the cloud as a separate service while preserving existing architecture and limiting the cloud scalability features (Kalia et al, 2020). Thus, decomposing the monolith application into a suitable service boundary is crucial when migrating to the distributed cloud architecture (Hasan et Yadav et al, 2020) were introduced in assisting the decomposition process, not all the migration strategies consider quality assurance in their outline, hence introducing post-migration quality concerns consisting of maintainability, performance, security, and reliability (Hasan et al, 2023b). To overcome these gaps, we undertook a shift-left approach in proposing a decomposition framework to ensure the migration to the cloud achieved its goals, thus ful lling cloud-native bene ts (Fehling et al, 2014) at the earliest migration stage.…”

Section: The Decomposition Frameworkmentioning

confidence: 99%

“…The relevant quality attribute is known as maintainability -where the degree of effectiveness and e ciency of an application can be changed, modi ed, or corrected to meet requirements (ISO/IEC, 2010). Despite of various decomposition techniques proposed from different perspectives, such as business functionality, domain-driven, and process mining, none of the mentioned approaches focuses on the maintainer's or developer's perspective, resulting in the migrated application did not achieve migration objective and thus obtaining maintainability concern after the migration (Hasan et al, 2023b). Therefore, it is essential to ensure that decomposed applications must be maintainable by developers to avoid post-migration accumulated waste and technical debt (Fan & Ma, 2017;Lenarduzzi et al, 2020;Taibi et al, 2017).…”

Section: Overviewmentioning

confidence: 99%

“…The decomposition process uses the clustering technique to identify the microservice model. Unfortunately, the clustering method performed on the related functional units lacks architectural quality attributes, thus overlooking the microservice quality concerns after the migration (Hasan et al, 2023b).…”

Section: Related Workmentioning

confidence: 99%

“…Thus, a good class decomposition approach is needed to t distributed cloud environment characteristics, as it leads to a better and high-quality microservice design. This paper is an extension of our previous work (Hasan et al, 2023b) highlighting post-migration cloud architectural quality issues by proposing a quality-driven decomposition framework for monolith to microservice migration. This framework implies steps to recover monolith architecture knowledge, decompose existing monolith and identify the best microservice candidates based on architectural quality objectives.…”

Section: Introductionmentioning

confidence: 97%

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

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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.

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Section: The Decomposition Frameworkmentioning

confidence: 99%

Section: Overviewmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

See 2 more Smart Citations

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

Hasan

Osman

Admodisastro

et al. 2023

Preprint

Self Cite

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show abstract

“…Software errors can stem devastating effects to financial loss, time delays, or even risks to life [13], [14]. Numerous frameworks for migrating from monolith to cloud have been introduced [1], [15]- [18], yet they still do not adequately address quality considerations after the migration [19]. Therefore, the migration did not accomplish its objective [5], thus introducing new product quality challenges such as application maintainability, security, reliability, and compatibility [8], [20].…”

Section: Introductionmentioning

confidence: 99%

From Monolith to Microservice: Measuring Architecture Maintainability

Hasan¹,

Osman²,

Admodisastro³

et al. 2023

IJACSA

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The migration of monolithic applications to the cloud is a popular trend, with microservice architecture being a commonly targeted architectural pattern. The motivation behind this migration is often rooted in the challenges associated with maintaining legacy applications and the need to adapt to rapidly changing business requirements. To ensure that the migration to microservices is a sound decision for enhancing maintainability, designers must carefully consider the underlying factors driving this software architecture migration. This study proposes a set of software architecture metrics for evaluating the maintainability of microservice architectural designs for monolith to microservice architecture migration. These metrics consider various factors, such as coupling, complexity, cohesion, and size, which are crucial for ensuring that the software architecture remains maintainable in the long term. Drawing upon previous product quality models that share similar design properties with microservice, we have derived maintainability metrics that can help measure the quality of microservice architecture. In this work, we introduced our first version of structural metrics for measuring the maintainability quality of microservice architecture concerning its cloud-native characteristics. This work allows us to get early feedback on proposed metrics before a detailed evaluation. With these metrics, designers can measure their microservice architecture quality to fully leverage the benefits of the cloud environment, thus ensuring that the migration to microservice is a beneficial decision for enhancing the maintainability of their software architecture applications.

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