Migration to Microservices: A Comparative Study of Decomposition Strategies and Analysis Metrics
<|reference_start|>Migration to Microservices: A Comparative Study of Decomposition Strategies and Analysis Metrics: The microservices architectural style is widely favored for its scalability, reusability, and easy maintainability, prompting increased adoption by developers. However, transitioning from a monolithic to a microservices-based architecture is intricate and costly. In response, we present a novel method utilizing clustering to identify potential microservices in a given monolithic application. Our approach employs a density-based clustering algorithm considering static analysis, structural, and semantic relationships between classes, ensuring a functionally and contextually coherent partitioning. To assess the reliability of our microservice suggestion approach, we conducted an in-depth analysis of hyperparameter sensitivity and compared it with two established clustering algorithms. A comprehensive comparative analysis involved seven applications, evaluating against six baselines, utilizing a dataset of four open-source Java projects. Metrics assessed the quality of generated microservices. Furthermore, we meticulously compared our suggested microservices with manually identified ones in three microservices-based applications. This comparison provided a nuanced understanding of our approach's efficacy and reliability. Our methodology demonstrated promising outcomes, showcasing remarkable effectiveness and commendable stability.<|reference_end|>
@article{chaieb2024migration,
    title={Migration to Microservices: A Comparative Study of Decomposition
  Strategies and Analysis Metrics},
    author={Meryam chaieb, Mohamed Aymen Saied},
    journal={arXiv preprint arXiv:2402.08481},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.08481},
    primaryClass={cs.SE}
}