下載電子全文宣告This thesis is authorized to indicate not accessible
You can not download at the moment.
Your IP address is 220.127.116.11
The defense date of the thesis is 2010-09-14
The current date is 2019-02-16
URN etd-0913110-072452 Statistics This thesis had been viewed 1618 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 Date of Defense 2010-07-09 Date of Submission 2010-09-14