Applying Program Normalization to Improve Software Complexity Metrics

碩士 === 大同大學 === 資訊工程學系(所) === 93 === Software complexity measurement is an essential part in the domain of software engineering. In measurement metrics developing, metrics was classed as two kinds, macro and micro. Macro complexity metrics consider the difficulty of system. Micro metrics are based o...

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Bibliographic Details
Main Authors: Hau-Jung Tsai, 蔡皓中
Other Authors: Jin-Cherng Lin
Format: Others
Language:en_US
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/45290889383708402509
Description
Summary:碩士 === 大同大學 === 資訊工程學系(所) === 93 === Software complexity measurement is an essential part in the domain of software engineering. In measurement metrics developing, metrics was classed as two kinds, macro and micro. Macro complexity metrics consider the difficulty of system. Micro metrics are based on program code measuring. In order to enhance the measuring precision, people invent new metrics to replace famous metrics. But, many factors which cause imprecise measuring exist in measuring target. We focus on micro measuring and structure program. We find out the imprecision factors which hide in syntax via studying C language. And, we use program normalization to improve accuracy of measuring.