DOOSRA—Distributed Object‐Oriented Software Restructuring Approach using DIM‐K‐means and MAD‐based ENRNN classifier-Reference-Cited by-同舟云学术

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DOOSRA—Distributed Object‐Oriented Software Restructuring Approach using DIM‐K‐means and MAD‐based ENRNN classifier

Published:2022-12-21 Issue:1 Volume:17 Page:23-36
ISSN:1751-8806
Container-title:IET Software
language:en
Short-container-title:IET Software

Author:

Sudhakar G.¹^ORCID,Nithiyanandam S.²

Affiliation:

1. Department of Computer Science and Engineering Sri Sai Ranganathan Engineering College (Formerly Ranganathan Engineering College) Coimbatore Tamil Nadu India

2. Department of Mechanical Engineering Jai Shriram Engineering College Avinashipalayam Tirupur Tamil Nadu India

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Graphics and Computer-Aided Design

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/sfw2.12076

Reference26 articles.

1. Wang J. et al.:Identifying key classes of object‐oriented software based on software complex network. In:2nd International Conference on System Reliability and Safety 20–22 Dec Milan Italy(2017)

2. Boucher A. Badri M.:Predicting fault‐prone classes in object‐oriented software an adaptation of an unsupervised hybrid SOM algorithm. In:IEEE International Conference on Software Quality Reliability and Security 25–29 July Prague Czech Republic(2017)

3. Automatic clustering constraints derivation from object-oriented software using weighted complex network with graph theory analysis

4. Improving modular structure of software system using structural and lexical dependency

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