下載電子全文宣告This thesis is authorized to indicate in-campus access at one year and off-campus not accessible
You can not download at the moment.
Your IP address is 22.214.171.124
The defense date of the thesis is 2005-08-01
The current date is 2018-02-21
This thesis will be accessible at off-campus not accessible
URN etd-0801105-144606 Statistics This thesis had been viewed 1629 times. Download 12 times. Author Wei-Chien Sung Author's Email Address No Public. Department Computer Science and Enginerring Year 2004 Semester 2 Degree Master Type of Document Master's Thesis Language English Page Count 35 Title Program Normalization to Improve Software Complexity Metrics and Case Study Keyword Software complexity measurement normalization normalization Software complexity measurement Abstract 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.
With normalization, the purpose of this paper is to improve the outcome consistency of computations of different metric complexities. Furthermore, the advantage of the paper is that normalized programs could derive complexity value of Halstead and Cyclomatic from a complexity value of LOC. 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.
Advisor Committee none - advisor
none - co-chair
none - co-chair
Files Date of Defense 2005-06-08 Date of Submission 2005-08-01