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

by Anfal A. Fadhil
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 35
Year of Publication: 2019
Authors: Anfal A. Fadhil
10.5120/ijca2019919212

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 },
issue_date = { Jul 2019 },
volume = { 178 },
number = { 35 },
month = { Jul },
year = { 2019 },
issn = { 0975-8887 },
pages = { 9-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number35/30766-2019919212/ },
doi = { 10.5120/ijca2019919212 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:52:17.575488+05:30
%A Anfal A. Fadhil
%T Maintainability Prediction for Software based on Class Diagram using Back Propagation Neural Network and Coco Search Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 35
%P 9-13
%D 2019
%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

References
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Index Terms

Computer Science
Information Sciences

Keywords

Maintainability Back propagation neural network Prediction understanding modifiability Cuckoo search algorithm

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