Object-oriented software quality through data scope complexity measurement

Abstract

Software metrics is a necessary step for software reliability and quality, and software metrics of traditional procedure-oriented programming are fairly mature and have various methodologies and tools available for use. Object-oriented programming has recently became popular. However, traditional procedure-oriented software metrics are not appropriate for the development of object-oriented software. Some research into object-oriented software metrics has been proposed, but these articles focus on only one metric that measures a specific characteristic of the object-oriented software. The authors propose a new metric methodology, the data scope complexity, for object-oriented software based on the data scope of a program. The data scope complexity can show complexities of multiple features of object-oriented programming at the same time. They also quantify and compare object-oriented programming with procedure-oriented programming.