An Approach to Extract the Architecture of Microservice-Based Software Systems

Mayer, Benjamin; Weinreich, Rainer

doi:10.1109/sose.2018.00012

Cited by 41 publications

(22 citation statements)

References 15 publications

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“…This model aggregates structural, deployment, and execution information of MSA, but there are no further details regarding the data extraction. Similarly, Mayer et al [21] developed an approach to extract architectural information (static, infrastructure, and runtime) from MSA. In this last work, the authors propose both static and dynamic strategies to capture architecture-relevant information.…”

Section: Related Workmentioning

confidence: 99%

A method for monitoring the coupling evolution of microservice-based architectures

Apolinário

França

2021

J Braz Comput Soc

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The microservice architecture is claimed to satisfy ongoing software development demands, such as resilience, flexibility, and velocity. However, developing applications based on microservices also brings some drawbacks, such as the increased software operational complexity. Recent studies have also pointed out the lack of methods to prevent problems related to the maintainability of these solutions. Disregarding established design principles during the software evolution may lead to the so-called architectural erosion, which can end up in a condition of unfeasible maintenance. As microservices can be considered a new architecture style, there are few initiatives to monitoring the evolution of software microservice-based architectures. In this paper, we introduce the SYMBIOTE method for monitoring the coupling evolution of microservice-based systems. More specifically, this method collects coupling metrics during runtime (staging or production environments) and monitors them throughout software evolution. The longitudinal analysis of the collected measures allows detecting an upward trend in coupling metrics that could represent signs of architectural degradation. To develop the proposed method, we performed an experimental analysis of the coupling metrics behavior using artificially generated data. The results of these experiment revealed the metrics behavior in different scenarios, providing insights to develop the analysis method for the identification of architectural degradation. We evaluated the SYMBIOTE method in a real-case open source project called Spinnaker. The results obtained in this evaluation show the relationship between architectural changes and upward trends in coupling metrics for most of the analyzed release intervals. Therefore, the first version of SYMBIOTE has shown potential to detect signs of architectural degradation during the evolution of microservice-based architectures.

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Section: Related Workmentioning

confidence: 99%

A method for monitoring the coupling evolution of microservice-based architectures

Apolinário

França

2021

J Braz Comput Soc

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“…In special the studies presented in [Mayer and Weinreich 2018], [Balalaie et al 2018], [Chen et al 2018], [Hassan et al 2017], [Taibi et al 2017], [Carvalho et al 2019b], and [Ahmadvand and Ibrahim 2016].…”

Section: Related Workmentioning

confidence: 99%

“…Mayer and Weinreich define an approach for continuously extracting the architecture of REST-based microservice software systems. The approach retrieves static and dynamic data from different involved and distributed microservices to overview the software architecture and supervise it over time [Mayer and Weinreich 2018]. This approach is related to the step eight of our proposed process.…”

Section: Related Workmentioning

confidence: 99%

“…The source of information to define the preliminary process were obtained from searches on Google Scholar 2 with different combinations of the keywords "Migration", "Microservices", "Legacy Systems", and "Monolith". The primary sources are: [Balalaie et al 2018, Chen et al 2018, Taibi et al 2017, Ahmadvand and Ibrahim 2016, Mayer and Weinreich 2018, Hassan et al 2017. These papers were selected based on their content, which is strictly related to the goal of our work.…”

Section: Primary Sourcesmentioning

confidence: 99%

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Towards a Process for Migrating Legacy Systems into Microservice Architectural Style

Wolfart¹,

Schmeing²,

Geraldino³

et al. 2020

Anais Da IV Escola Regional De Engenharia De Software (ERES 2020)

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Microservice architectural style is a paradigm to develop systems as a suite of small and autonomous services, communicating thought a lightweight protocol. Currently, the most common way of adopting microservice architectures is by the modernization of legacy monolith systems. The migration of a legacy system into a microservice architecture is not a trivial task. In addition, there is a lack of recommendation or guidelines on how to perform such process. In view of this, this paper presents a preliminary process for conducting the migration of legacy systems into microservice architectures. This process was defined by analyzing and discussing pieces of work on the topic. As result, we propose a process composed of eight steps, grouped in four phases, which we describe together with their common input and output.

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“…While formats like OpenAPI have been used in many analysis and reengineering approaches for service-and microservice-based systems [19,25,18], there is so far no broadly applicable and conveniently extensible approach to calculate structural service-based maintainability metrics from interface specifications of RESTful services. To fill this gap, we propose a new modular approach for the static analysis of RESTful API descriptions called RAMA (RESTful API Metric Analyzer), which we describe in Section 3.…”

Section: Introductionmentioning

confidence: 99%

Collecting Service-Based Maintainability Metrics from RESTful API Descriptions: Static Analysis and Threshold Derivation

Bogner,

Wagner,

Zimmermann

2020

Preprint

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While many maintainability metrics have been explicitly designed for service-based systems, tool-supported approaches to automatically collect these metrics are lacking. Especially in the context of microservices, decentralization and technological heterogeneity may pose challenges for static analysis. We therefore propose the modular and extensible RAMA approach (RESTful API Metric Analyzer) to calculate such metrics from machine-readable interface descriptions of RESTful services. We also provide prototypical tool support, the RAMA CLI, which currently parses the formats OpenAPI, RAML, and WADL and calculates 10 structural service-based metrics proposed in scientific literature. To make RAMA measurement results more actionable, we additionally designed a repeatable benchmark for quartile-based threshold ranges (green, yellow, orange, red). In an exemplary run, we derived thresholds for all RAMA CLI metrics from the interface descriptions of 1,737 publicly available RESTful APIs. Researchers and practitioners can use RAMA to evaluate the maintainability of RESTful services or to support the empirical evaluation of new service interface metrics.

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An Approach to Extract the Architecture of Microservice-Based Software Systems

Cited by 41 publications

References 15 publications

A method for monitoring the coupling evolution of microservice-based architectures

A method for monitoring the coupling evolution of microservice-based architectures

Towards a Process for Migrating Legacy Systems into Microservice Architectural Style

Collecting Service-Based Maintainability Metrics from RESTful API Descriptions: Static Analysis and Threshold Derivation

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