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URN etd-0119104-140802 Statistics This thesis had been viewed 3289 times. Download 1445 times. Author Ying-Yen Hsu Author's Email Address firstname.lastname@example.org Department Computer Science and Enginerring Year 2003 Semester 1 Degree Master Type of Document Master's Thesis Language English Page Count 52 Title A Quantitative Software Complexity Measurement by Program Normalization Keyword software engineering normalization control flow complexity measurement complexity measurement control flow normalization software engineering Abstract Software complexity measurement is an essential part in the domain of software engineering. In this paper we introduce a software complexity measurement. This measurement is based on computing theory and can be applied on any structure program regardless of the implement language. Its measurement depended on program normalization and control flow structure of a program. The measurement model we proposed can estimate the complexity hiding in program structure and program statement. What we mean the “program statement” here is not just count lines of code in a program block. We precisely estimate complexity caused by program statement according to what data elements and data types are used. Advisor Committee Jin-Cherng Lin - advisor
Jin-Long Wang - co-chair
Tsang-Long Pao - co-chair
Files Date of Defense 2003-12-23 Date of Submission 2004-01-19