Improved binary similarity measures for software modularization-Reference-Cited by-同舟云学术

Improved binary similarity measures for software modularization

Published:2017-08 Issue:8 Volume:18 Page:1082-1107
ISSN:2095-9184
Container-title:Frontiers of Information Technology & Electronic Engineering
language:en
Short-container-title:Frontiers Inf Technol Electronic Eng

Author:

Naseem Rashid^ORCID,Deris Mustafa Bin Mat,Maqbool Onaiza,Li Jing-peng,Shahzad Sara,Shah Habib

Funder

the Office of Research, Innovation, Commercialization and Consultancy (ORICC), Universiti Tun Hussein Onn Malaysia (UTHM), Malaysia

Publisher

Zhejiang University Press

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing

Link

http://link.springer.com/article/10.1631/FITEE.1500373/fulltext.html

Reference53 articles.

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2. Andritsos, P., Tzerpos, V., 2005. Information-theoretic software clustering. IEEE Trans. Softw. Eng., 31(2): 150–165. https://doi.org/10.1109/tse.2005.25

3. Anquetil, N., Lethbridge, T.C., 1999. Experiments with clustering as a software remodularization method. Proc. 6th Working Conf. on Reverse Engineering, p.235–255. https://doi.org/10.1109/wcre.1999.806964

4. Bauer, M., Trifu, M., 2004. Architecture-aware adaptive clustering of OO systems. Proc. 8th European Conf. on Software Maintenance and Reengineering, p.3–14. https://doi.org/10.1109/csmr.2004.1281401

5. Bittencourt, R.A., Guerrero, D.D.S., 2009. Comparison of graph clustering algorithms for recovering software architecture module views. Proc. 13th European Conf. on Software Maintenance and Reengineering, p.251–254. https://doi.org/10.1109/csmr.2009.28

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