Software module fault prediction using convolutional neural network with feature selection
R Sharma, P Kakkar - International Journal of Software Engineering and …, 2016 - earticle.net
Software plays a significant role in technological and economic development due to its
utmost importance in day to day activities. A sequence of rigorous activities under certain …
utmost importance in day to day activities. A sequence of rigorous activities under certain …
[PDF][PDF] A novel feature subset selection algorithm for software defect prediction
P Reena, B Rajan - International Journal of Computer Applications, 2014 - Citeseer
Feature subset selection is the process of choosing a subset of good features with respect to
the target concept. A clustering based feature subset selection algorithm has been applied …
the target concept. A clustering based feature subset selection algorithm has been applied …
[PDF][PDF] Performance analysis of machine learning techniques on software defect prediction using NASA datasets
Defect prediction at early stages of software development life cycle is a crucial activity of
quality assurance process and has been broadly studied in the last two decades. The early …
quality assurance process and has been broadly studied in the last two decades. The early …
Performance analysis of feature selection methods in software defect prediction: a search method approach
Software Defect Prediction (SDP) models are built using software metrics derived from
software systems. The quality of SDP models depends largely on the quality of software …
software systems. The quality of SDP models depends largely on the quality of software …
Effectiveness of Ensemble Classifier Over State-Of-Art Machine Learning Classifiers for Predicting Software Faults in Software Modules
Software fault prediction (SFP) is the process of creating a model that software practitioners
may use to identify defective classes/modules prior to the testing phase. The software …
may use to identify defective classes/modules prior to the testing phase. The software …
[PDF][PDF] A feature selection based model for software defect prediction
Software is a complex entity composed in various modules with varied range of defect
occurrence possibility. Efficient and timely prediction of defect occurrence in software allows …
occurrence possibility. Efficient and timely prediction of defect occurrence in software allows …
A hybrid feature selection method for software defect prediction
L Jia - IOP Conference Series: Materials Science and …, 2018 - iopscience.iop.org
Abstract Software Defect Prediction (SDP) is one of the important ways of software quality
assurance, which uses the metric data to predict whether software module is defect. The …
assurance, which uses the metric data to predict whether software module is defect. The …
[PDF][PDF] A Framework for Software Defect Prediction Using Feature Selection and Ensemble Learning Techniques.
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 …
delivery of high quality product. As software testing consumes significant amount of …
Iterated feature selection algorithms with layered recurrent neural network for software fault prediction
Software fault prediction (SFP) is typically used to predict faults in software components.
Machine learning techniques (eg, classification) are widely used to tackle this problem. With …
Machine learning techniques (eg, classification) are widely used to tackle this problem. With …