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2011 27th IEEE International Conference on Software Maintenance
Clustering and lexical information support for the recovery of design pattern in source code
Williamsburg, VA, USA
September 25-September 30
ISBN: 978-1-4577-0663-9
Simone Romano, Dipartimento di Matematica e Informatica, University of Basilicata, Viale dell'Ateneo, I-85100, Potenza, Italy
Giuseppe Scanniello, Dipartimento di Matematica e Informatica, University of Basilicata, Viale dell'Ateneo, I-85100, Potenza, Italy
Michele Risi, Facoltà di Scienze MM. FF. NN., University of Salerno, Via Ponte Don Melillo, I-84084, Fisciano, Italy
Carmine Gravino, Facoltà di Scienze MM. FF. NN., University of Salerno, Via Ponte Don Melillo, I-84084, Fisciano, Italy
We propose an approach that leverages lexical information and fuzzy clustering to reduce the number of the design pattern instances that existing approaches based on structural information (i.e., navigating the dependencies among software elements) erroneously recover in source code. To assess the effectiveness of the techniques, we present the results of a case study conducted on four open source software systems implemented in java. The data analysis indicates that the use of lexical information and fuzzy clustering improves the correctness of the results achieved by existing design pattern recovery approaches based on structural information, while preserving the number of design pattern instances correctly identified.
Citation:
Simone Romano, Giuseppe Scanniello, Michele Risi, Carmine Gravino, "Clustering and lexical information support for the recovery of design pattern in source code," icsm, pp.500-503, 2011 27th IEEE International Conference on Software Maintenance, 2011
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