AMBIENTUM BIOETHICA BIOLOGIA CHEMIA DIGITALIA DRAMATICA EDUCATIO ARTIS GYMNAST. ENGINEERING EPHEMERIDES EUROPAEA GEOGRAPHIA GEOLOGIA HISTORIA HISTORIA ARTIUM INFORMATICA IURISPRUDENTIA MATHEMATICA MUSICA NEGOTIA OECONOMICA PHILOLOGIA PHILOSOPHIA PHYSICA POLITICA PSYCHOLOGIA-PAEDAGOGIA SOCIOLOGIA THEOLOGIA CATHOLICA THEOLOGIA CATHOLICA LATIN THEOLOGIA GR.-CATH. VARAD THEOLOGIA ORTHODOXA THEOLOGIA REF. TRANSYLVAN
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Authors: CAMELIA ȘERBAN, ANDREEA VESCAN, HORIA F. POP.
DOI: 10.24193/subbi.2017.1.05
Published Online: 2017-06-01
Published Print: 2017-06-01
pp. 60-74
VIEW PDF: PRELIMINARY MEASUREMENTS IN IDENTIFYING DESIGN FLAWS
Software metrics are of great importance in object-oriented design assessment. They quantify various aspects of design entities and play an important role in predicting design quality. Despite the fact that software metrics have become increasingly useful, they raise several issues. Among them, relevant to our research are the issue of setting threshold values and the problem of measurement results interpretation. Fuzzy clustering analysis is used to overcome the limitations of the existing approaches that are using threshold values for metrics and to provide a better interpretation of the obtained measurement results.This paper focuses on metrics-based design aw detection in object-oriented design. A new metric, Design Flaw Entropy which measures the distribution of design a flaw into the analyzed system is introduced. To validate the proposed approach, a case study was also proposed.
2000 Mathematics Subject Classification. 68N30, 68T37.1998 CR Categories and Descriptors. code D.2.8 [Software Engineering]: Metrics{ Product metrics; code D.1.5 [Pattern recognition]: Clustering { Algorithms.
Key words and phrases. Software metrics, object oriented design, fuzzy clustering.
