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- W1794751911 abstract "Much research in the past two decades has focused on automatic generation of abstractions from low-level software elements using clustering algorithms. This research is generally motivated by comprehension improvement through more abstract constructs, re-architecture of existing systems to improve their maintenance, or migration to new paradigms. In this paper, we start from a formulation of software clustering problems in a setting, where elements of a software system form a graph to be partitioned in order to derive high-level abstractions. We then propose a novel formulation where the graph partitioning solution is evaluated by the degree of its conformance with past clustering cases given as examples. We provide a concrete illustration of this formulation with the problem of object identification in procedural code." @default.
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- W1794751911 date "2011-11-07" @default.
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- W1794751911 title "Deriving high-level abstractions from legacy software using example-driven clustering" @default.
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