A Modeling Method for Systematic Architecture Reconstruction of Microservice-Based Software Systems

Rademacher, Florian; Sachweh, Sabine; Zündorf, Albert

doi:10.1007/978-3-030-49418-6_21

Cited by 32 publications

(51 citation statements)

References 12 publications

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“…These models were meant to be understood more by automated systems and researchers than by developers. In an article made by Rademacher et al [57] a modeling language is created that is meant to systematize Software Architectural Reconstruction (SAR) of microservicebased systems. Another article by McZara et al [62] models the dependencies between microservices using a design structure matrix, commonly used as a simple representation of a complex application.…”

Section: Model-based Analysismentioning

confidence: 99%

“…A framework proposed by Kleehaus et al [34] uses dynamic analysis to facilitate the reconstruction of an microservice system's architecture with service discovery tools and to keep track of how new microservices emerge over time. Rademacher et al [57] systematize the reconstruction of an MSA-based system's architecture by first gathering architecture information from architecture-related artifacts or views, then transforming these views into a canonical representation of a system by storing it into a database. Walker et al [26] propose a method for automatically completing Software Architectural Reconstruction (SAR) of a microservice system through code analysis and demonstrating it on a case study on an existing microservice benchmark application.…”

Section: Software Architecture Reconstruction (Sar)mentioning

confidence: 99%

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On Microservice Analysis and Architecture Evolution: A Systematic Mapping Study

et al. 2021

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Microservice architecture has become the leading design for cloud-native systems. The highly decentralized approach to software development consists of relatively independent services, which provides benefits such as faster deployment cycles, better scalability, and good separation of concerns among services. With this new architecture, one can naturally expect a broad range of advancements and simplifications over legacy systems. However, microservice system design remains challenging, as it is still difficult for engineers to understand the system module boundaries. Thus, understanding and explaining the microservice systems might not be as easy as initially thought. This study aims to classify recently published approaches and techniques to analyze microservice systems. It also looks at the evolutionary perspective of such systems and their analysis. Furthermore, the identified approaches target various challenges and goals, which this study analyzed. Thus, it provides the reader with a roadmap to the discipline, tools, techniques, and open challenges for future work. It provides a guide towards choices when aiming for analyzing cloud-native systems. The results indicate five analytical approaches commonly used in the literature, possibly in combination, towards problems classified into seven categories.

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Section: Model-based Analysismentioning

confidence: 99%

Section: Software Architecture Reconstruction (Sar)mentioning

confidence: 99%

On Microservice Analysis and Architecture Evolution: A Systematic Mapping Study

et al. 2021

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“…It can identify remote endpoints and services and dependencies. In [135], authors used docker files for architectural reconstruction and highlighted that these files represent valuable analysis targets.…”

Section: Deployment / Build Configuration Analysismentioning

confidence: 99%

“…With such ability, we would be able to address new types of errors that are hard to find manually by distributes system assessments. The evident challenge is to derive the holistic system view automatically [135], given…”

Section: A Future Challenges and Opportunitiesmentioning

confidence: 99%

“…This would bring great opportunities. For instance, one could quickly extract up-to-date documentation for the overall system [135]. SysOps are not developers, so their knowledge about particular modules is limited to the assessment of deployment descriptors, but important module specifics can be missed, which brings another opportunity.…”

Section: A Future Challenges and Opportunitiesmentioning

confidence: 99%

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On Code Analysis Opportunities and Challenges for Enterprise Systems and Microservices

et al. 2020

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Code analysis brings excellent benefits to software development, maintenance, and quality assurance. Various tools can uncover code defects or even software bugs in a range of seconds. For many projects and developers, the code analysis tools became essential in their daily routines. However, how can code analysis help in an enterprise environment? Enterprise software solutions grow in scale and complexity. These solutions no longer involve only plain objects and basic language constructs but operate with various components and mechanisms simplifying the development of such systems. Enterprise software vendors have adopted various development and design standards; however, there is a gap between what constructs the enterprise frameworks use and what current code analysis tools recognize. This manuscript aims to challenge the mainstream research directions of code analysis and motivate for a transition towards code analysis of enterprise systems with interesting problems and opportunities. In particular, this manuscript addresses selected enterprise problems apparent for monolithic and distributed enterprise solutions. It also considers challenges related to the recent architectural push towards a microservice architecture. Along with open-source proof-of-concept prototypes to some of the challenges, this manuscript elaborates on code analysis directions and their categorization. Furthermore, it suggests one possible perspective of the problem area using aspect-oriented programming.

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The μTOSCA toolchain: Mining, analyzing, and refactoring microservice‐based architectures

et al. 2021

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Summary Exploiting microservices to architect enterprise applications is becoming commonplace. This makes it crucial to provide some support for designing and analyzing microservice‐based applications, for example, for understanding whether a microservice‐based application adheres to the main design principles of microservices and for choosing how to refactor it when this is not the case. To provide such support, in this article we present the μTOSCA toolchain. More precisely, we first introduce the μTOSCA model to represent the architecture of microservice‐based applications with the OASIS standard TOSCA. We then describe a technique to automatically mine the architecture of a microservice‐based application and represent it with μTOSCA, given the Kubernetes deployment of the application. We also present a methodology to analyze the μTOSCA representation of a microservice‐based architecture to systematically identify the architectural smells potentially affecting the corresponding application and to resolve them. Finally, we present two prototype tools, μMiner and μFreshener, implementing our mining solution and the support for identifying and resolving architectural smells in microservice‐based applications, respectively. We then assess —by discussing some case studies— how effectively μMiner, μFreshener, and the μTOSCA toolchain can support researchers and practitioners working with microservices.

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A Modeling Method for Systematic Architecture Reconstruction of Microservice-Based Software Systems

Cited by 32 publications

References 12 publications

On Microservice Analysis and Architecture Evolution: A Systematic Mapping Study

On Microservice Analysis and Architecture Evolution: A Systematic Mapping Study

On Code Analysis Opportunities and Challenges for Enterprise Systems and Microservices

The μTOSCA toolchain: Mining, analyzing, and refactoring microservice‐based architectures

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