Benchmark for Evaluating the Design Quality of Object-Oriented Microservices

Various approaches have been proposed for extracting microservices from the source code of monolithic software systems.The extracted microservices are usually evaluated by using the metrics of the precision and recall.However, the evaluation of the object-oriented design of microservices needs specialized metrics.To bridge this literature gap, we propose the metrics of the completeness, minimality, and structurality to assess the proximity of an extracted design to a ground-truth design.Our evaluation show that our metrics fix the misleading results on the UML quality of microservice designs made by the existing metrics.

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Publication Details

Journal
Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering
Published
2024-10-28
DOI
https://doi.org/10.18293/seke2024-053
Primary Topic
Software System Performance and Reliability
Type
article
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article

Benchmark for Evaluating the Design Quality of Object-Oriented Microservices

Dionysis Athanasopoulos
Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering
Software System Performance and Reliability
article

Benchmark for Evaluating the Design Quality of Object-Oriented Microservices

Dionysis Athanasopoulos
article en

Abstract

Various approaches have been proposed for extracting microservices from the source code of monolithic software systems.The extracted microservices are usually evaluated by using the metrics of the precision and recall.However, the evaluation of the object-oriented design of microservices needs specialized metrics.To bridge this literature gap, we propose the metrics of the completeness, minimality, and structurality to assess the proximity of an extracted design to a ground-truth design.Our evaluation show that our metrics fix the misleading results on the UML quality of microservice designs made by the existing metrics.

Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge EngineeringVol. 2024
Queen's University Belfast (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 71%
Software System Performance and Reliability
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