Hybrid functional link artificial neural network approach for predicting maintainability of object-oriented software
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- 作者：Lov Kumar ; lovkumar505@gmail.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Santanu Ku. Rath skrath@nitrkl.ac.in" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Artificial neural network ; CK metrics suite ; Maintainability
- 刊名：Journal of Systems and Software
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：121
- 期：Complete
- 页码：170-190
- 全文大小：1575 K
文摘
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Among all quality parameters, Maintainability is more important to achieve success.
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This paper focus on maintainability of software using object oriented metrics.
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Hybrid approach of neural network is used to design a model for prediction.
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Two feature selection techniques are used to select best set of metrics.
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We achieved better prediction rate for maintainability as compared to others.