A novel method for early software quality prediction based on support vector machine

@article{Xing2005ANM,
  title={A novel method for early software quality prediction based on support vector machine},
  author={Fei Xing and Ping Guo and Michael R. Lyu},
  journal={16th IEEE International Symposium on Software Reliability Engineering (ISSRE'05)},
  year={2005},
  pages={10 pp.-222}
}
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… CONTINUE READING
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