Software Bug Prediction Using Object Oriented Metrics. However compared with the traditional software defect prediction methods the research on evolutionoriented defect prediction is still inadequate. Prediction of Software Defect Using Supervised Machine Learning Practices.
Software defects are well-known in software development and might cause several problems for users and developers aside. This model is capable of predicting the existence of bugs in a class if found during software validation using metrics. One of the most notable techniques focuses on defect prediction using machine learning methods which could support developers in handling these defects before.
According to the majority of software fault prediction approaches rely on object-oriented software metrics.
Out of 20 provided metrics in each dataset most prominent 14 metrics have been selected using feature selection process. Many object-oriented design metrics have been developed 1381724 to help in predict software defects or evaluate design quality. AbstractSoftware Bug Prediction SBP is an important issue in software development and maintenance processes which concerns with the overall of software successes. Object-Oriented Software Metrics Software bug prediction Machine Learning Logistic Regression Decision.