Software Defect Detection Using Machine Learning Techniques
Jaswitha Abbineni, Ooha Thalluri · 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI) · 2018
Software defect detection is mainly used for identifying the defective modules that are present in the software so that it helps in improving the quality of the software system. Machine learning techniques are useful in terms of software defect detection. Software is divided into defective and non-defective modules. Decision Tree and Logistic Regression algorithms are implemented for the classification of defective data set. The datasets are taken from the promise data repository and thereby accuracy is computed. The algorithms are implemented using Weka tool as well as Python idle and the comparative analyses of the results are exhibited.