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Mining patterns in open source software using software metrics and neural network models
Published in Inderscience Publishers
2020
Volume: 10
   
Issue: 4
Pages: 397 - 409
Abstract
As the complexity of a system increases, the need to develop a prototype for the problems becomes more and more prominent. To take care of different plan issues, it is seen that structure design finds a superior answer for a large number of repetitive plan issues. For the most part, design-level documents are indicated utilising semi-formal documentation, for example, unified modelling language (UML) diagrams. In any case, these kinds of semi-formal documentation lead to ambiguities and irregularities. In this paper, design level documents are retrieved by using the idea of program metrics. The proposed methodology retrieves the reusable documents from the open-source software such as PMD and JUnit. The presented method uses three kinds of neural network models to analyse the effectiveness of the pattern retrieval approach. Copyright © 2020 Inderscience Enterprises Ltd.
About the journal
JournalInternational Journal of System of Systems Engineering
PublisherInderscience Publishers
ISSN17480671