Component clustering based on maximal association

Reverse Engineering - Working Conference Proceedings

Volumn , Issue , 2001, Pages 103-114

  Sartipi, K ^a   Kontogiannis, K ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER ARCHITECTURE; DATA MINING; OPTIMIZATION;

COMPONENT CLUSTERING;

COMPUTER SOFTWARE;

EID: 0034770227     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (25)

1. Fast algorithm for mining association rules
2. Experiments with clustering as a software remodularization
3. Measuring functional cohesion
4. Evaluating the suitability of data clustering for software remodularisation
5. System structure analysis: Clustering with data bindings
6. An incremental semi-automatic method for component recovery
7. Using automatic process clustering for design recovery and distributed debugging
8. Assessing modular structure of legacy code based on mathematical concept analysis
9. Using automatic clustering to produce high-level system organizations of source code
10. Coherence equals cohesion-or does it?
11. A measure for composite module cohesion
12. Alborz: A query-based tool for software architecture recovery
13. A software evaluation model using component association views
14. A graph pattern matching approach to software architecture recovery
15. Architectural design recovery using data mining techniques
16. A pattern matching framework for software architecture recovery and restructuring
17. Identifying modules via concept analysis
18. Software reengineering based on concept lattices
19. Software botryology: Automatic clustering of software systems
20. Acdc: An algorithm for comprehension-driven clustering
21. Using clustering algorithms in legacy systems modularization