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Title page for etd-0913110-072452


URN etd-0913110-072452 Statistics This thesis had been viewed 1724 times. Download 0 times.
Author Chu-Ting Chang
Author's Email Address No Public.
Department Computer Science and Enginerring
Year 2009 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 24
Title A Study on Evolutionary Computation for Parameter Estimation of Software Reliability Growth Model
Keyword
  • genetic algorithm
  • differential evolution algorithm
  • software reliability
  • software reliability
  • differential evolution algorithm
  • genetic algorithm
  • Abstract In the field of software engineering, to predict the software reliablity is very important. In the recent two decades, Software Reliability Growth Model (SRGM) is focus on Non-homogeneous Poisson Process (NHPP) model. Recent years, we use Machine Learning algorithm, like Decision Tree, K-nearest Neighbor Algorithm ,to predict the reliability of software, and recent period, Artificial Neural Network (ANN) is often used.
    This research will use Genetic Algorithm (GA) and Differential Evolution Algorithm (DE) to predict software reliability. Through the system, we hope we can get more accretive result of software reliability to help the software project manager.
    Advisor Committee
  • Jin-Cherng Ln - advisor
  • Ching-Long Yeh - co-chair
  • Jan-Min Chen - co-chair
  • Files indicate not accessible
    Date of Defense 2010-07-09 Date of Submission 2010-09-14


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