Dissertation > Excellent graduate degree dissertation topics show

Software reliability prediction model and application in power system

Author: QuChuan
Tutor: JiangChunHua;GuMingHan
School: University of Electronic Science and Technology
Course: Software Engineering
Keywords: Software reliability Support vector machine theory Prediction model Mode
CLC: TP311.52
Type: Master's thesis
Year: 2010
Downloads: 52
Quote: 0
Read: Download Dissertation

Abstract


With the rapid of the deployment of computer systems, people in the modern society are increasingly dependent on the hardware and software systems. When the demand for computer systems increases, the possibility of crises from computer failure will also increase. Therefore, the reliability of computer systems has become an important concern for our daily life. Numerous Software Reliability Prediction Models (SRPMs) for the software failure phenomenon have been developed to measure software reliability, and some of them are based on Nonhomogeneous Poisson Process (NHPP). However, some of the above assumptions of traditional SRPMs are not applicable in an actual software environment.Formally, a support vector machine (SVM) constructs a hyperplane or set of hyperplanes in a high or infinite dimensional space, which can be used for classification, regression or other tasks. Intuitively, a good separation is achieved by the hyperplane that has the largest distance to the nearest training datapoints of any class (so-called functional margin), since in general the larger the margin the lower the generalization error of the classifier. From the present studies it seems, SVM has been considerable attention in various fields, has become a major tool for research about classification and predication. Support vector machine based on statistical learning theory, it builds on the statistical theory of VC dimension and structural risk minimization theory. It attaches to the principles which can maximize the generalization ability of learning. This thesis concentrates in implementing SVM to software reliability prediction. It constructs the software reliability prediction model based on SVM in order to open a superior algorithm. Also, it applies this algorithm into the large software of power system. This paper introduces series of traditional software reliability prediction models.Then it analyzes how to use the SVM into the software reliability prediction work. This paper adopts the known software fault test data and introduces the modeling process of software reliability prediction model in detail. it compares the advantages and disadvantages between model based on SVM and traditional model. Through the simulation and analysis, it confirms the new model having a higher prediction accuracy, a faster velocity and effect, a stronger generalization compared to the standard BP algorithm. The new prediction method based on SVM does not like the traditional prediction method, it is without any assumptions. Therefore, this model has a certain adaptability and versatility. At last, it applies this software reliability algorithm into the large software of power system and gets a good predictive accuracy. This modeling ideas and methods provide some ideas and methods for reference to future researchers to develop better software reliability prediction model.

Related Dissertations

  1. Attitude Control of a Three-Axis Stabilized Satellite,V448.22
  2. Satellite Attitude Control Methods Using Only Magnetorquers,V448.222
  3. Attitude Determination and Finite Time Control Algorithms for a Satellite,V448.222
  4. Pattern Classification of Combustion Modes in Scramjet,V235
  5. Key Technologies of Dam-break Life Loss Risk Assessment Research,TV122.4
  6. The Research of Children’s Medical Environment Based on New Medical Mode,TU246.1
  7. The Equivalent Circuit Model of Radial Vibration Mode Piezoelectric Transformer and Its Application,TM406
  8. Teaching research and practice of high school function,G633.6
  9. Design and Implementation of Windows Kernel-mode Cryptographic Service Interface,TP309.7
  10. The Application of Fuzzy Control and Neural Network in Planar Double Inverted Pendulum,TP273.4
  11. Research on Design of an Angular Acceleration Control System,TP273
  12. Research on the Synchronous Control Algorithm of a Special Target Simulator,TP273
  13. Sliding Mode Variable Tructure Control for Separating-Mirror System and Inhibit Chattering,TP273
  14. "Small Group" Model to Improve Teaching Aerobics Girls Vocational Colleges Mental Health Research,G831.3
  15. Technician Training Mode Reform of Research,G719.2
  16. A Discussion on the Local Government’s Ethical Decision-Making,D625
  17. The Shuttlecock sports training mode,G849.9
  18. Effect of Planting Densities and Modes on Lodging Resistance of Stem in Summer Maize,S513
  19. Of China's socialist development of the concept of evolution in the way of thinking change,D61
  20. Ordinary Universities Public Sports Basketball Section "Understand Teaching Type Teaching Mode" of Experiments,G841
  21. The Research on the Agricultural Informatization Pattern Development of Fujian,F320.1

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Software Engineering > Software Development
© 2012 www.DissertationTopic.Net  Mobile