JSE_V10_N3_RevP1 R. Reena R. Thirumalai Selvi Journal on Software Engineering 2230–7168 10 3 20 26 Software Defect Prediction, Genetic Algorithm, Feature Selection, Bagging Technique Software defect prediction is an important research topic in the software engineering field, especially to solve the inefficiency and ineffectiveness of the existing industrial approach of software testing and reviews. The software defect prediction performance decreases significantly because the data set contains noisy attributes and class imbalance. Feature selection is generally used in machine learning when the learning task involves high-dimensional and noisy attribute datasets. In this survey, a Genetic Algorithm and a bagging technique is a research topic for Software Defect Prediction. The survey of publications on this topic leads to the conclusion that the field of genetic algorithms applications is growing fast. The authors overall aim is to provide an efficient feature selection for further development of the research. January - March 2016 Copyright © 2016 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=4901