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Data mining and its capacity to deal with large volumes of data and to uncover hidden patterns has been proposed as a means to support industrial scale software maintenance and comprehension. This paper presents a methodology for knowledge acquisition from source code in order to comprehend an object-oriented system and evaluate its maintainability. We employ clustering in order to support semi-automated software maintenance and comprehension. A model and associated process are provided, indoi:10.1145/1147234.1147240 fatcat:zk6uytpdf5cpjaukzh45ao5mqi