Object Recovery Using Hierarchical Self-Organizing Maps
نویسندگان
چکیده
The self-organizing map’s unsupervised clustering property, is known for classifying high dimensional data sets into clusters that have similar features. Using this property and arranging self-organizing maps into hierarchies, we demonstrate in this paper that legacy code can be potentially broken down into suggested classes using hierarchical self-organizing maps. This is in conjunction with inheritance that is typical in the object oriented approach. The results shown from our study indicate common features between procedures at different levels of the self-organizing map hierarchy structure. This suggests that the self-organizing map is capable of proposing the different levels of classes that can be extracted from legacy code, aiding the process of software reverse engineering.
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