Random Forest and Novel Under-Sampling Strategy for Data Imbalance in Software Defect Prediction
نویسندگان
چکیده
منابع مشابه
Sampling Imbalance Dataset for Software Defect Prediction Using Hybrid Neuro-fuzzy Systems with Naive Bayes Classifier
Original scientific paper Software defect prediction (SDP) is a process with difficult tasks in the case of software projects. The SDP process is useful for the identification and location of defects from the modules. This task will tend to become more costly with the addition of complex testing and evaluation mechanisms, when the software project modules size increases. Further measurement of ...
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ژورنال
عنوان ژورنال: International Journal of Engineering & Technology
سال: 2018
ISSN: 2227-524X
DOI: 10.14419/ijet.v7i4.15.21368