An attribute selection process for software defect prediction

Khan, J.I., Gias, A.U., Siddik, Md.S., Rahman, Md.H., Khaled, S.M. and Shoyaib, M. 2014. An attribute selection process for software defect prediction. 2014 International Conference on Informatics, Electronics & Vision (ICIEV). Dhaka, Bangladesh 23 - 24 May 2014 IEEE . https://doi.org/10.1109/iciev.2014.6850791

TitleAn attribute selection process for software defect prediction
AuthorsKhan, J.I., Gias, A.U., Siddik, Md.S., Rahman, Md.H., Khaled, S.M. and Shoyaib, M.
TypeConference paper
Abstract

In software quality research, software defect prediction is a key topic. The characteristics of software attributes influences the performance and effectiveness of the defect prediction model. However this issue is not well explored to the best of our knowledge. Thus we focus on the problem of attribute selection in the context of software defect prediction here and hence in this research, we propose a technique for selecting best set of attributes to improve the accuracy of the software defect prediction. The proposed method is evaluated using the data sets from NASA metric data repository which demonstrate acceptable accuracy using simple algorithm.

Year2014
Conference2014 International Conference on Informatics, Electronics & Vision (ICIEV)
PublisherIEEE
Publication dates
Published10 Jul 2014
Journal2014 International Conference on Informatics, Electronics and Vision, ICIEV 2014
ISBN9781479951802
Digital Object Identifier (DOI)https://doi.org/10.1109/iciev.2014.6850791
Web address (URL)http://www.scopus.com/inward/record.url?eid=2-s2.0-84904965432&partnerID=MN8TOARS

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