Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Using Heuristic Search Techniques To Extract Design Abstractions From Source Code
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Agent-based support within an interactive evolutionary design system
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Object-Oriented Software Engineering: A Use Case Driven Approach
Object-Oriented Software Engineering: A Use Case Driven Approach
Multiobjective Satisfaction within an Interactive Evolutionary Design Environment
Evolutionary Computation
Pareto optimal search based refactoring at the design level
Proceedings of the 9th annual conference on Genetic and evolutionary computation
On the evaluation of the Bunch search-based software modularization algorithm
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Hierarchical Clustering for Software Architecture Recovery
IEEE Transactions on Software Engineering
Search-based refactoring for software maintenance
Journal of Systems and Software
Designing the design process: exploiting opportunistic thoughts
Human-Computer Interaction
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Conceptual software engineering design is an intensely people-oriented and non-trivial activity, yet current computational tool support is limited. While a number of search-based software engineering approaches to support software design have been reported, few empirical studies into their application have been described. This paper reports the findings of an observational study of conceptual design episodes in a UK higher education problem domain. When compared with a manual design episode, a design episode enabled by a user-interactive, search-based, evolutionary computation tool generates a large number of useful and interesting candidate designs, and provides enhanced qualitative and quantitative evaluation. It is also found that tool-supported visualization of UML class designs offers opportunities for sudden design discovery, and that designers respond positively to opportunities to explore and exploit multiple candidate designs. It appears therefore that search-based computational tool support offers high potential in the support of conceptual software engineering design.