An Empirical Study of Robustness and Stability of Machine Learning Classifiers in Software Defect Prediction

2015 ◽  
pp. 383-397 ◽  
Author(s):  
Arvinder Kaur ◽  
Kamaldeep Kaur
Keyword(s):  
Machine Learning ◽  
Empirical Study ◽  
Defect Prediction ◽  
Software Defect Prediction ◽  
Machine Learning Classifiers ◽  
Software Defect ◽  
Learning Classifiers

scholarly journals Study on Insights in Software Defect prediction

2021 ◽  
Author(s):  
Dr. Piyush Kumar Pareek
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Defect Prediction ◽  
Software Defect Prediction ◽  
Machine Learning Classifiers ◽  
Software Defect ◽  
Research Article ◽  
Design Software ◽  
Code Complexity ◽  
Structured Questionnaire

Software defect prediction is a process of constructing machine learning classifiers to predict defective code snippets, using historical information in software repositories such as code complexity and change records to design software defect metrics , In this research article we have tried to understand the relationships between various variables which are important for IT SME’s ,The study is carried out with the help of a well structured questionnaire using IBM SPSS tool for data analysis and interpretation .

SDP-ML: An Automated Approach of Software Defect Prediction employing Machine Learning Techniques

2021 ◽  
Author(s):  
Md Nasir Uddin ◽  
Bixin Li ◽  
Md Naim Mondol ◽  
Md Mostafizur Rahman ◽  
Md Suman Mia ◽  
...  
Keyword(s):  
Machine Learning ◽  
Machine Learning Techniques ◽  
Defect Prediction ◽  
Software Defect Prediction ◽  
Software Defect ◽  
Learning Techniques
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