Large Class Detection Using GNNs: A Graph Based Deep Learning Approach Utilizing Three Typical GNN Model Architectures

Author:

ZHANG HanYu1,KISHI Tomoji2

Affiliation:

1. Inner Mongolia University of Science & Technology

2. Waseda University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Reference48 articles.

1. [1] W.F. Opdyke, “Refactoring Object-Oriented Frameworks,” PhD thesis, University of Illinois at Urbana, 1992.

2. [2] M. Fowler, ed., Refactoring: improving the design of existing code, Addison-Wesley Signature, 1999 1st ed, 2018 2nd ed.

3. [3] T. Sharma and D. Spinellis, “A survey on software smells,” Journal of Systems and Software, vol.138, pp.158-173, 2018. 10.1016/j.jss.2017.12.034

4. [4] A. AbuHassan, M. Alshayeb, and L. Ghouti, “Software smell detection techniques: A systematic literature review,” Journal of Software: Evolution and Process, vol.33, no.3, e2320, 2021. 10.1002/smr.2320

5. [5] W.J. Brown, R.C. Malveau, H.W. McCormick, T.J. Mowbray, ed., Anti Patterns: Refactoring software, architectures, and projects in crisis, John Wiley and Sons, 1998.

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