Software Defect Prediction Using Non-Negative Matrix Factorization
Quality is considered as an important issue in the fields of software engineering. However, building quality software is very expensive, in order to raise the effectiveness and efficiency of quality assurance and testing, software defect prediction is used to identify defect-prone modules in an upcoming version of a software system and help to allow the effort on those modules. Although many models have been proposed, this problem has not resolved thoroughly. For overcoming these limits, recent results show that researcher should pay more attention to improve the quality of the data.