Applications of clustering techniques to software partitioning, recovery and restructuring

Journal of Systems and Software

Volumn 73, Issue 2, 2004, Pages 227-244

  Lung, Chung Horng ^a   Zaman, Marzia ^b   Nandi, Amit ^c  

^a CARLETON UNIVERSITY   (Canada)

^b Cistel Technology Inc   (Canada)

^c NORTEL NETWORKS   (Canada)

Author keywords

Clustering; Cohesion and coupling; Design recovery; Evolution; Restructuring; Reverse engineering; Software partitioning

Indexed keywords

ABSTRACTING; BINARY CODES; DATA REDUCTION; OBJECT ORIENTED PROGRAMMING; RESEARCH; REVERSE ENGINEERING;

CLUSTERING; COHESION AND COUPLING; DESIGN RECOVERY; EVOLUTION; RESTRUCTURING; SOFTWARE PARTITIONING;

COMPUTER AIDED SOFTWARE ENGINEERING;

EID: 3242686217     PISSN: 01641212     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0164-1212(03)00234-6     Document Type: Article

References (35)

1. Alexander C. Notes on the Synthesis of Form. 1964;Harvard University Press, Cambridge, MA.
2. Anderberg M.R. Cluster Analysis for Applications. 1973;Academic Press, NY.
3. Andreu, R.C., Madnick, S.E., 1977. A systematic approach to the design of complex systems: application to DBMS design and evaluation. Technical Report (CISR 32), MIT Sloan School of Management.
4. Anquetil, N., Lethbridge, T., 1998. Extracting concepts from file names: a new file clustering criterion. In: Proceedings of International Conference on Software Engineering, pp. 84-93.
5. Anquetil, N., Lethbridge, T., 2000. Experiments with clustering as a software remodularization method. In: Proceedings of the 6th Working Conf on Reverse Engineering, pp. 235-255.
6. Arnold R.S. Software Reengineering. 1993;IEEE Computer Society Press, Los Alamitos, CA.
7. Bieman J.M., Kang B.-K. Measuring design-level cohesion. IEEE Trans. Software Eng. 24(2):1998;111-124.
8. Bieman J.M., Ott L. Measuring functional cohesion. IEEE Trans. Software Eng. 20(8):1994;644-657.
9. Briand, L., Devanbu, P., Melo, W., 1997. An investigation into coupling measures in C++. In: Proceedings of International Conference on Software Engineering, pp. 412-421.
10. Card D.N., Glass R.L. Measuring Software Design Quality. 1990;Prentice-Hall, Eaglewood Cliffs, NJ.
11. Davey, J., Burd, E., 2000. Evaluating the suitability of data clustering for software remodularization. In: Proceedings of the 7th Working Conference on Reverse Engineering, pp. 268-276.
12. Dhama H. Quantitative models of cohesion and coupling in software. J. Syst. Software. 29:1995;65-74.
13. Dromey R.G. Cornering the Chimera. IEEE Software. 13(1):1996;33-43.
14. Everitt B. Cluster Analysis. 1980;Heinemann Educational Books, Ltd. London.
15. Heyliger, G., 1994. Coupling, In: Marciniak, J. (Ed.), Encyclopedia of Software Engineering.
16. Hutchens D., Basili V.R. System structure analysis: clustering with data bindings. IEEE Trans. Software Eng. 11(8):1985;749-757.
17. Kazman, R., Bass, L., Abowd, G., Webb, M., 1994. SAAM: a method for analyzing the properties of software architecture. In: Proceedings of the International Conference on Software Engineering, pp. 81-90.
18. Kazman, R., Carriere, S.J., 1998. View extraction and view fusion in architectural understanding. In: Proceedings of the 5th International Conference on Software Reuse.
19. Lakhotia A. A unified framework for expressing software subsystem classification techniques. J. Syst. Software. 36:1997;211-231.
20. Lung C.-H., Cochran J.K., Mackulak G.T., Urban J.E. Computer simulation software reuse by generic/specific domain modeling approach. Int. J. Software Eng. Knowl. Eng. 4(1):1994;81-102.
21. Lung, C.-H., 1998. Software architecture recovery and restructuring through clustering techniques. In: Proceedings of the 3rd International Workshop on Software Architecture, pp. 101-104.
22. Lung C.-H., Kalaichelvan K. An approach to quantitative software architecture sensitivity analysis. Int. J. Software Eng. Knowl. Eng. 10(1):2000;97-114.
23. Lung, C.-H., Zaman, Z., in preparation. Program restructuring and decoupling through clustering.
24. Mackulak G.T., Cochran J.K. Generic/specific modeling: an improvement to CIM simulation techniques. Shunk D.L. Optimization of Manufacturing Systems Design. 1990;331-363 Elsevier Science Publishers, North-Holland.
25. Mancoridis, S., Mitchell, B.S., Rorres, C., Chen, Y., Gansner, E.R., 1998. Using automatic clustering to produce high-level system organizations of source code. In: Proceedings of International Workshop on Program Comprehension.
26. Monroe R., Kompanek A., Melton R., Garlan D. Architectural styles, design patterns, and objects. IEEE Software. 14(1):1997;43-52.
27. Murphy G.C., Notkin D., Sullivan K.J. Software reflexion models: bridging the gap between design and implementation. IEEE Trans. Software Eng. 27(4):2001;364-380.
28. Neighbors, J., 1996. Finding reusable software components in large systems. In: Proceedings of Working Conference on Reverse Engineering, pp. 2-10.
29. Perry D.E., Wolf A.L. Foundations for the study of software architecture. Software Eng. Notes. 17(4):1992;40-52.
30. Romesburg H.C. Cluster Analysis for Researchers. 1990;Krieger, Malabar, FL.
31. Sartipi, K., Kontogiannis, K., 2001. Component clustering based on maximal association. In: Proceedings of the 8th Working Conference on Reverse Engineering, pp. 103-114.
32. Schwanke, R.W., 1991. An intelligent tool for reengineering software modularity. In: Proceedings of International Conference on Software Engineering, pp. 83-92.
33. Selby, R.W., Reimer, R.M., 1995. Interconnectivity analysis for large software systems, Technical Report, (UCIrv-95-PROC-CSS-001), University of California at Irvine.
34. Snelting, G., 2000. Software reengineering based on concept analysis. In: Proceedings of the European Conference on Software Maintenance and Reengineering, pp. 1-8.
35. Wiggerts, T.A., 1997. Using clustering algorithms in legacy systems modularization. In: Proceedings of the 4th Working Conference on Reverse Engineering, pp. 33-43.