A Genetic Algorithm to Find the Adequate Granularity for Service Interfaces

A Genetic Algorithm to Find the Adequate Granularity for Service Interfaces

Romano, D.
Pinzger, M.

Electrical Engineering, Mathematics and Computer Science

Software Technology

2014-02-28

The relevance of the service interfaces’ granularity and its architectural impact have been widely investigated in literature. Existing studies show that the granularity of a service interface, in terms of exposed operations, should reflect their clients’ usage. This idea has been formalized in the Consumer-Driven Contracts pattern (CDC). However, to the best of our knowledge, no studies propose techniques to assist providers in finding the right granularity and in easing the adoption of the CDC pattern. In this paper, we propose a genetic algorithm that mines the clients’ usage and suggests Fac¸ade services whose granularity reflect the usage of each different type of clients. These services can be deployed on top of the original service and they become contracts for the different types of clients satisfying the CDC pattern. A first study shows that the genetic algorithm is capable of finding Facade services and it outperforms a random search approach

services
granularity
genetic algorithms

http://resolver.tudelft.nl/uuid:d415f97e-0664-422f-be2a-9706c9aabc0f

Delft University of Technology, Software Engineering Research Group

1872-5392

Services 2014; IEEE 10th World Congress on Services, Anchorage (USA), June 27- July 2, 2014; preprint Technical Report Series TUD-SERG-2014-002

Institutional Repository

report

© 2014 The Author(s) . Software Engineering Research Group, Department of Software Technology, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology