Research Article

Maintainability Prediction for Software based on Class Diagram using Back Propagation Neural Network and Coco Search Algorithm

by  Anfal A. Fadhil
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Issue 35
Published: Jul 2019
Authors: Anfal A. Fadhil
10.5120/ijca2019919212
PDF

Anfal A. Fadhil . Maintainability Prediction for Software based on Class Diagram using Back Propagation Neural Network and Coco Search Algorithm. International Journal of Computer Applications. 178, 35 (Jul 2019), 9-13. DOI=10.5120/ijca2019919212 

                        @article{ 10.5120/ijca2019919212,
                        author  = { Anfal A. Fadhil },
                        title   = { Maintainability Prediction for Software based on Class Diagram using Back Propagation Neural Network and Coco Search Algorithm },
                        journal = { International Journal of Computer Applications },
                        year    = { 2019 },
                        volume  = { 178 },
                        number  = { 35 },
                        pages   = { 9-13 },
                        doi     = { 10.5120/ijca2019919212 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2019
                        %A Anfal A. Fadhil
                        %T Maintainability Prediction for Software based on Class Diagram using Back Propagation Neural Network and Coco Search Algorithm%T 
                        %J International Journal of Computer Applications
                        %V 178
                        %N 35
                        %P 9-13
                        %R 10.5120/ijca2019919212
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

accuracy and Software quality impacts user satisfaction and development costs ,Maintainability has gained its importance as a feature of software quality and the need for early indicators of external quality attributes is a a critical necessity ,maintainability of object-oriented software can be Predicted through the implementation of advanced modeling techniques . This paper presents model to a predicting the understanding and the modifiability as standard the maintainability software from class diagram using the Back propagation neural network with the Coco search algorithm .The results of this model are compared to multiple linear regression model, The results reported that the integration between Back propagation neural network with the Coco search algorithm is an improved maintainability expected with higher accuracy

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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Maintainability Back propagation neural network Prediction understanding modifiability Cuckoo search algorithm

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