From static code analysis to visual models of microservice architecture
Name:
SOSE_Extension___Cloud_Cluster ...
Embargo:
2025-04-24
Size:
5.549Mb
Format:
PDF
Description:
Final Accepted Manuscript
Affiliation
Systems and Indistrial Engineering, University of ArizonaIssue Date
2024-04-24Keywords
Augmented realityDecentralized systems
Interactive visualization
Microservices
Software architecture reconstruction
System-centric view
Metadata
Show full item recordPublisher
Springer Science and Business Media LLCCitation
Cerny, T., Abdelfattah, A.S., Yero, J. et al. From static code analysis to visual models of microservice architecture. Cluster Comput (2024). https://doi.org/10.1007/s10586-024-04394-7Journal
Cluster ComputingRights
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Microservice architecture is the mainstream driver for cloud-native systems. It brings various benefits to the development process, such as enabling decentralized development and evolution of self-contained system parts, facilitating their selective scalability. However, new challenges emerge in such systems as the system-holistic quality assurance becomes difficult. It becomes hard to maintain the desired system architecture since many teams are involved in the development process and have greater autonomy. Without instruments and practices to coordinate teams and assess the system as a whole, the system is prone to architectural degradation. To face such challenges, various architectural aspects of the system should be accessible to practitioners. It would give them a better understanding of interconnections and dependencies among the microservice they manage and the context of the entire system. This manuscript provides the perspective on uncovering selected system architectural views using static code analysis. It demonstrates that holistic architectural views can be effectively derived from the system codebase(s), highlighting dependencies across microservices. Such new perspectives will aid practitioners in making informed decisions when intending to change and evolve the system. Moreover, with such a new instrument for system holistic assessment, we quickly realize that human experts must cope with another problem, the evergrowing scales of cloud-native systems. To elaborate on the topic, this manuscript examines how static analysis outcomes can be transformed into interactive architectural visualizations to assist practitioners in handling large-scale complexities.Note
12 month embargo; first published 24 April 2024ISSN
1386-7857EISSN
1573-7543Version
Final accepted manuscriptSponsors
National Science Foundationae974a485f413a2113503eed53cd6c53
10.1007/s10586-024-04394-7