Classification techniques is a popular approach to predict software defects and it involves
categorizing modules, which is represented by a set of metrics or code attributes into fault …

Software defect prediction using classification algorithms was advocated by many
researchers. Moreover the classifier ensemble can effectively improve classification …

Abstract The performance of Software Defect Prediction (SDP) models depends on the
quality of dataset used for training the models. The high dimensionality of software metric …

Testing is one of the crucial activities of software development life cycle which ensures the
delivery of high quality product. As software testing consumes significant amount of …

Feature selection is an essential step in the process of software defect prediction due to the
negative effect of irrelevant features on classification algorithms. Hence selecting the most …

Software defect prediction can improve its quality and is actively studied during the last
decade. This paper focuses on the improvement of software defect prediction accuracy by …

Classification algorithms that help to identify software defects or faults play a crucial role in
software risk management. Experimental results have shown that ensemble of classifiers are …

Software defect prediction is the process of locating defective modules in software. It
facilitates testing efficiency and consequently software quality. It enables a timely …

Software defect prediction is one of the emerging research areas of software engineering.
The prediction of defects at early stage of development process can produce high quality …

Software defect prediction has been an important research topic in the software engineering
field, especially to solve the inefficiency and ineffectiveness of existing industrial approach of …