Deviance from perfection is a better criterion than closeness to evil when identifying risky code
Proceedings of the IEEE/ACM international conference on Automated software engineering
Identifying thresholds for object-oriented software metrics
Journal of Systems and Software
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The aim of this paper is to approach the problemof improving the design of an object oriented software system, by identifying the appropriate refactorings. It is well known that improving the quality of software systems design is an important issue during the evolution of object oriented software systems. This improvement can be achieved by refactoring the software system in order to improve its internal structure, but without altering the external behavior of the code. In this paper we introduce a hierarchical divisive clustering algorithm for automatic identification of refactorings that improve the internalstructure of a software system. We evaluate our approach using JHotDraw case study and a real software system, emphasizing its advantages in comparison with existing similar approaches.