Object-oriented software quality through data scope complexity measurement

Ying Hong Wang, Chi Ming Chung, Timothy K. Shih, Huan Chao Keh, Wei Chuan Lin

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

Software metrics is a necessary step for software reliability and quality and software metrics technique of traditional procedure-oriented programming is fairly maturity and has various methodologies and tools available for use. Recently, object-oriented programming became popular. However, traditional procedure-oriented software metrics are not appropriate for the development of an object-oriented software. Some researches of object-oriented software metrics have been proposed. But these articles focus on only one metric that measures a specific characteristic of the object-oriented software. In this paper, we propose a new metric methodology, the data scope complexity, for object-oriented software based on data scope of a program. The data scope complexity can show complexities of multiple features of object-oriented programming at the same time. Also, we quantify and compare object-oriented programming with procedure-oriented programming.

Original languageEnglish
Pages (from-to)3849-3854
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume4
StatePublished - 1997
EventProceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) - Orlando, FL, USA
Duration: 12 Oct 199715 Oct 1997

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