In the past few years, there has been a growing interest in automating refactoring activities using metaheuristic approaches. These current refactoring approaches involve source-to-source transformation. However, detailed information at source-code level makes precondition checking and source-level refactorings hard to perform. It also severely limits how extensively a program can be refactored. While design improvement tools can be used for a deep and fast design exploration, it is left to the programmer to manually apply the required refactorings to the source code, which is a burdensome task. To tackle the above problems, our proposal is based on a multi-level refactoring approach that involves both design and source code in the refactoring process. Initially, the program design is extracted from the source code. Then, in a design exploration phase, using a metaheuristic approach, the design is transformed to a better one in terms of a metrics suite as well as the user perspective. The source code is then refactored based on both the improved design and the metrics suite. Using this approach, we expect a deeper and faster exploration of the program design space, that may result more opportunities for design improvement. © 2011 Springer-Verlag.
CITATION STYLE
Moghadam, I. H. (2011). Multi-level automated refactoring using design exploration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6956 LNCS, pp. 70–75). https://doi.org/10.1007/978-3-642-23716-4_9
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