Object-oriented software quality through data scope complexity measurement

被引：0
|
作者：
Wang, YH
Chung, CM
Shih, TK
Keh, HC
Lin, WC
机构：
来源：
SMC '97 CONFERENCE PROCEEDINGS - 1997 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5: CONFERENCE THEME: COMPUTATIONAL CYBERNETICS AND SIMULATION | 1997年
关键词：
object-oriented programming (OOP); software metrics; data scope; C++ programming language; friend function; public variable; protected variable; private variable;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Software metrics is a necessary step for software and quality and software metrics 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. Bur, 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 scape 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 rime. Also. we quantify and compare object-oriented programming with procedure-oriented programming.
引用
收藏
页码：3849 / 3854
页数：6
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