연구 분야: Software Development
학회: International Conference on Web Engineering
Migrating a monolithic application to a microservice architecture can benefit from automated methods that accelerate migration and improve the results of decomposition. One of the current approaches that guide software architects on the migration is to group monolith domain entities into microservices, using the sequences of accesses of the monolith functionalities to the domain entities. In this paper, we enrich the sequence of accesses solution by applying code vectorization to the monolith, using the Code2Vec neural network model. We apply Code2Vec to vectorize the monolith functionalities. We propose two strategies to represent a functionality, one by aggregating its call graph method vectors and the other by extending the sequence of accesses approach with vectorization of the accessed entities. To evaluate these strategies, we compare the proposed strategies with the sequence of accesses strategy and an existing approach that uses class vectorization. We run all these strategies over a large set of codebases and then compare the results of their decompositions in terms of cohesion, coupling, and complexity.
| 발행 연도 | 2023년 |
|---|---|
| 인용수 | 0 |
| 출판 국가 | Indonesia |
| 사이트 | Springer |
| 좋아요 수 | 0 |