Using multi‐pattern clustering methods to improve software maintenance quality
Author:
Affiliation:
1. Institute of Information Systems and Applications National Tsing Hua University Hsinchu Taiwan
2. Department of Computer Science National Tsing Hua University Hsinchu Taiwan
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Graphics and Computer-Aided Design
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/sfw2.12075
Reference75 articles.
1. Bittencourt R.A. Guerrero D.D.S.:Comparison of graph clustering algorithms for recovering software architecture module views. In:Proceedings of the 13th European Conference on Software Maintenance and Reengineering pp.251–254(2009)
2. Efficient software clustering technique using an adaptive and preventive dendrogram cutting approach
3. E-SC4R: Explaining Software Clustering for Remodularisation
4. Software Module Clustering: An In-Depth Literature Analysis
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1. Applying Graph Partitioning-Based Seeding Strategies to Software Modularisation;Lecture Notes in Computer Science;2024
2. Improving Software Modularization Quality Through the Use of Multi-Pattern Modularity Clustering Algorithm;2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security (QRS);2023-10-22
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