Cost-Sensitive Radial Basis Function Neural Network Classifier for Software Defect Prediction
Joint Authors
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-21
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Effective prediction of software modules, those that are prone to defects, will enable software developers to achieve efficient allocation of resources and to concentrate on quality assurance activities.
The process of software development life cycle basically includes design, analysis, implementation, testing, and release phases.
Generally, software testing is a critical task in the software development process wherein it is to save time and budget by detecting defects at the earliest and deliver a product without defects to the customers.
This testing phase should be carefully operated in an effective manner to release a defect-free (bug-free) software product to the customers.
In order to improve the software testing process, fault prediction methods identify the software parts that are more noted to be defect-prone.
This paper proposes a prediction approach based on conventional radial basis function neural network (RBFNN) and the novel adaptive dimensional biogeography based optimization (ADBBO) model.
The developed ADBBO based RBFNN model is tested with five publicly available datasets from the NASA data program repository.
The computed results prove the effectiveness of the proposed ADBBO-RBFNN classifier approach with respect to the considered metrics in comparison with that of the early predictors available in the literature for the same datasets.
American Psychological Association (APA)
Kumudha, P.& Venkatesan, R.. 2016. Cost-Sensitive Radial Basis Function Neural Network Classifier for Software Defect Prediction. The Scientific World Journal،Vol. 2016, no. 2016, pp.1-20.
https://search.emarefa.net/detail/BIM-1120346
Modern Language Association (MLA)
Kumudha, P.& Venkatesan, R.. Cost-Sensitive Radial Basis Function Neural Network Classifier for Software Defect Prediction. The Scientific World Journal No. 2016 (2016), pp.1-20.
https://search.emarefa.net/detail/BIM-1120346
American Medical Association (AMA)
Kumudha, P.& Venkatesan, R.. Cost-Sensitive Radial Basis Function Neural Network Classifier for Software Defect Prediction. The Scientific World Journal. 2016. Vol. 2016, no. 2016, pp.1-20.
https://search.emarefa.net/detail/BIM-1120346
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1120346