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A search-based identification of variable microservices for enterprise SaaS

Frontiers of Computer Science 2023年第3期17卷 29-44页

作者： sedigheh khoshnevis Department of Computer Engineering Shahr-e-Qods BranchIslamic Azad UniversityTehran ***Iran

Recently,SaaS applications are developed as a composition of microservices that serve diverse tenants having similar but different requirements,and hence,can be developed as variability-intensive *** identification of these microservices is difficult,time-consuming,and costly,since,they have to satisfy a set of quality metrics for several SaaS architecture configurations at the same *** this paper,we tackle the multi-objective optimization problem of identifying variable microservices aiming optimal granularity(new metric proposed),commonality,and data convergence,with a search-based approach employing the MOEA/D *** empirically and experimentally evaluated the proposed method following the Goal-Question-Metric *** results show that the method is promising in identifying fully consistent,highly reusable,variable microservices with an acceptable multi-tenancy ***,the identified microservices,although not structurally very similar to those identified by the expert architects,provide design quality measures(granularity,etc.)close to(and even better than)the experts.

关键词： SaaS cloud computing microservice searchbased software engineering MOEA/D

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Automating identification of services and their variability for product lines using NSGA-II

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Frontiers of Computer Science 2017年第3期11卷 444-464页

作者： sedigheh khoshnevis Fereidoon SHAMS Software Engineering Department Shahid Beheshti University Tehran 19836 Iran

Architecture-level business services are identi- fied based on business processes; and likewise, in service- oriented product lines, identifying the domain architecture- level business services and their variability is preferred to be based on business processes and their variability. Identifica- tion of business services for a product line satisfying a set of given design metrics （such as cohesion and coupling） is ex- tremely difficult for a domain architect, since there are many product configurations for which the services must be proper at the same time. This means that the identified services must have proper values for n metrics in m different configura- tions at the same time. The problem becomes more serious when there are high degrees of variability and complexity embedded in the business processes that are the basis for ser- vice identification. We contribute to solve the multi-objective optimization problem of identifying business services for a product line by partitioning the graph of a business process variability model utilizing Non-dominated Sorting Genetic Algorithm-II. The service specification is achieved based on the results of the partitioning. The variability of the services is then determined in terms of mandatory and optional services as well as variability relationships, which are all represented in a Service Variability Model. The method was empirically evaluated through experimentation, and showed proper lev- els of reusability and variability. Furthermore, the resulting models were fully consistent.

关键词： software product model business process genetic line service variability algorithm

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