Complexity measures for object-oriented program based on the entropy

Software metrics are widely advocated as fundamental elements of an engineering approach to planning and controlling software development. They are especially important in object-oriented programming. We propose a new software complexity model which consists of class complexity, inter-object complex...

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Hauptverfasser:	Kapsu Kim, Yeongil Shin, Chisu Wu
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computer science Encapsulation Entropy Object oriented modeling Process control Programming Quality assurance Software metrics Software quality Statistics
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creator	Kapsu Kim Yeongil Shin Chisu Wu
description	Software metrics are widely advocated as fundamental elements of an engineering approach to planning and controlling software development. They are especially important in object-oriented programming. We propose a new software complexity model which consists of class complexity, inter-object complexity, and the total complexity for the object-oriented program. We measure the complexities based on the entropy concept. The class complexity for a class measures the information flows in a class based on the information passing relationship among member data and member functions. The inter-object complexity for a program measures the information flows between objects. The total complexity for a program is measured by the class complexity and the inter-object complexity. We evaluate the proposed metrics using the complexity properties proposed by Weyuker (1988). Experimental results of C++ classes show the effectiveness of the proposed metrics. We assert that the class complexity and the inter-object complexity are correlated to other metrics for object-oriented concepts.
doi_str_mv	10.1109/APSEC.1995.496961
format	Conference Proceeding
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Soc</pub><doi>10.1109/APSEC.1995.496961</doi><tpages>10</tpages></addata></record>
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identifier	ISBN: 9780818671715
ispartof	Proceedings 1995 Asia Pacific Software Engineering Conference, 1995, p.127-136
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Computer science Encapsulation Entropy Object oriented modeling Process control Programming Quality assurance Software metrics Software quality Statistics
title	Complexity measures for object-oriented program based on the entropy
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