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Title page for etd-0119104-140802


URN etd-0119104-140802 Statistics This thesis had been viewed 3122 times. Download 1445 times.
Author Ying-Yen Hsu
Author's Email Address eagleswallow@seed.net.te
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 indicate access worldwide
    Date of Defense 2003-12-23 Date of Submission 2004-01-19


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