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2005
IEEE

A Novel Method for Early Software Quality Prediction Based on Support Vector Machine

12 years 4 days ago
A Novel Method for Early Software Quality Prediction Based on Support Vector Machine
The software development process imposes major impacts on the quality of software at every development stage; therefore, a common goal of each software development phase concerns how to improve software quality. Software quality prediction thus aims to evaluate software quality level periodically and to indicate software quality problems early. In this paper, we propose a novel technique to predict software quality by adopting Support Vector Machine (SVM) in the classification of software modules based on complexity metrics. Because only limited information of software complexity metrics is available in early software life cycle, ordinary software quality models cannot make good predictions generally. It is well known that SVM generalizes well even in high dimensional spaces under small training sample conditions. We consequently propose a SVM-based software classification model, whose characteristic is appropriate for early software quality predictions when only a small number of s...
Fei Xing, Ping Guo, Michael R. Lyu
Added 25 Jun 2010
Updated 25 Jun 2010
Type Conference
Year 2005
Where ISSRE
Authors Fei Xing, Ping Guo, Michael R. Lyu
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