Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3145
Title: Predicting Software Reliability using Computational Intelligence Techniques: A Review
Authors: Kumar, Kulamala Vinod
Teja, A. Sarath Chandra
Maru, Abha
Singla, Yogesh
Mohapatra, Durga Prasad
Keywords: Software reliability
Assessment
Fault prediction
Computational intelligence techniques
Issue Date: Dec-2018
Citation: 17th International Conference on Industrial Technology (ICIT 2018), Bhubaneswar , India, 20-22 December 2018
Abstract: Software measurement is yet in an infant stage. There is hardly any efficient quantitative method to represent software reliability. The existing methods are not generic and have many limitations. Various techniques could be used to enhance software reliability. However, one has to not only balance time but also cater to budget constraints. Computational Intelligence (CI) techniques that have been explored for software reliability prediction have shown remarkable results. In this paper, the applications of CI techniques for software reliability prediction are surveyed and an evaluation based on some selected performance criteria is presented.
Description: Copyright of this document belongs to proceedings publisher.
URI: http://hdl.handle.net/2080/3145
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
2018_ICIT_DPMohapatra_PredictingSoftware.pdfConference paper355.43 kBAdobe PDFView/Open    Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.