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- W2061250489 abstract "Refactoring restructures a program to improve its structure without altering its behavior. However, it is challenging to preserve the domain semantics of a program when refactoring is decided/implemented automatically. Indeed, a program could be syntactically correct, have the right behavior, but model incorrectly the domain semantics. In this paper, we propose a multi-objective optimization approach to find the best sequence of refactorings that maximizes quality improvements (program structure) and minimizes semantic errors. To this end, we use the non-dominated sorting genetic algorithm (NSGA-II) to find the best compromise between these two conflicting objectives. We report the results of our experiments on different open source projects." @default.
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- W2061250489 date "2012-09-01" @default.
- W2061250489 modified "2023-10-09" @default.
- W2061250489 title "Search-based refactoring: Towards semantics preservation" @default.
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- W2061250489 doi "https://doi.org/10.1109/icsm.2012.6405292" @default.
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