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Title page for etd-0108109-183812


URN etd-0108109-183812 Statistics This thesis had been viewed 1611 times. Download 24 times.
Author Hao-Ching Hung
Author's Email Address engedlee@yahoo.com.tw
Department Computer Science and Enginerring
Year 2008 Semester 1
Degree Master Type of Document Master's Thesis
Language Chinese&English Page Count 48
Title Research of Applying Differential Evolution to Software Effort Estimation
Keyword
  • Local Search
  • Crossover
  • Mutation
  • MMRE
  • Pred
  • differential evolution
  • Selection
  • Selection
  • differential evolution
  • Pred
  • MMRE
  • Mutation
  • Crossover
  • Local Search
  • Abstract In Information Technology Industry, how to accurately estimate one project’s spending in the cost and works always plays a very important role in software companies. Therefore, this research will applies differential evolution, a new algorithm, to estimate the optimal volume of works in software projects to acquire biggest benefit in the cost. In algorithm, generations of chromosomes firstly use Pred and MMRE to figure out their fitness then keep renewing their values by Mutation, Crossover, Selection, and Local Search to substitute the older and worse vector solutions. In the process of repeating these technique, finally, vector solutions will be refine to their optimal volume which can be used in estimating software projects.
    Advisor Committee
  • Jin-Cherng Lin - advisor
  • none - co-chair
  • none - co-chair
  • Files indicate in-campus access only
    Date of Defense 2008-12-25 Date of Submission 2009-01-10


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