First Results on the Evolutionary Solution for the Strategy- based Refactoring Set Selection Problem
نویسنده
چکیده
In order to improve the internal structure of object-oriented software, refactoring has proved to be a feasible technique. Scheduling a refactoring process for a complex software system is a difficult task to do. Refactorings may be organized and prioritized based on goals established by the project management leadership, that shapes a refactoring strategy. The paper presents a multi-objective approach to the Strategy-based Refactoring Set Selection Problem (SRSSP) by treating the cost constraint and the refactoring impact as objectives of a weighted-sum fitness function. The first results of the proposed weighted objective genetic algorithm on a experimental didactic case study are presented and discussed. Keywords— genetic algorithm, multi-objective optimization, refactoring, object-oriented programming, software engineering.
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