Improving the structural quality of UML class diagrams with the genetic algorithm
Olga Deryugina · ITM Web of Conferences · 2016
The problem of improving the structural quality of UML class diagrams can be formulated as an optimization problem. The Genetic algorithm is concerned to be able to solve such problems. This paper focuses on the ways in which the Genetic algorithm can be applied to the problem of improving structural quality of UML class diagrams. It develops the theme of semantically equivalent transformations of UML class diagrams during the evolutionary search. This paper suggests the structural semantics of the UML class diagrams. It also formulates the problem of improving the structural quality of a UML class diagram during the evolutionary search and proposes a solution of the problem based on the Genetic algorithm. The paper presents the results of the computational experiment aimed at improving of the structural quality of the UML class diagram with the help of the Genetic algorithm and identifies issues for future work.