Research an educational software defect prediction model based on SVM

Authors:
Guang-Jie Liu;Wen-Yong Wang
Affiliations:
Department of Computer Science and Technology, Changchun Normal University, Changchun, China;Software College, Northeast Normal University, Changchun, China
Venue:
Edutainment'10 Proceedings of the Entertainment for education, and 5th international conference on E-learning and games
Year:
2010

Citing 6
Cited 0

Software reliability: measurement, prediction, application

Software reliability: measurement, prediction, application
Software metrics: establishing a company-wide program

Software metrics: establishing a company-wide program
Practical software metrics for project management and process improvement

Practical software metrics for project management and process improvement
CMM in practice: processes for executing software projects at Infosys

CMM in practice: processes for executing software projects at Infosys
Support vector machines: hype or hallelujah?

ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Metrics and Models in Software Quality Engineering

Metrics and Models in Software Quality Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

We must pay attention and find defects, defects through the prediction to quantify the quality management and quality in order to achieve this goal, requires an estimate of the various defect detection process. Software defects are the departure of software are products' anticipative function. This paper collecting the data of the software defects, then, using the SVM model the predictive values are gained analyzing the predictive results, software are organizations can improve software control measure software process and allocate testing resources effectively.