Equipping the reflexion method with automated clustering

Proceedings - Working Conference on Reverse Engineering, WCRE

Volumn 2005, Issue , 2005, Pages 89-98

  Christl, Andreas ^a   Koschke, Rainer ^b   Storey, Margaret Anne ^c  

^a UNIVERSITY OF STUTTGART   (Germany)

^b UNIVERSITY OF BREMEN   (Germany)

^c UNIVERSITY OF VICTORIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; COMPUTER ARCHITECTURE; COMPUTER SOFTWARE; MATHEMATICAL MODELS; SOFTWARE ENGINEERING; SYSTEMS ANALYSIS;

AUTOMATED CLUSTERING; REFLEXION METHOD; SOFTWARE APPLICATIONS;

CODES (SYMBOLS);

EID: 33846246752     PISSN: 10951350     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCRE.2005.17     Document Type: Conference Paper

References (44)

1. F. Abreu, G. Pereira, and P. Sousa. A coupling-guided cluster analysis approach to reengineer the modularity of object-oriented systems. In CSMR, pages 13-22. IEEE Press, 2000.
2. P. Andritsos and V. Tzerpos. Software clustering based on information loss minimization. In WCRE, pages 334-343. IEEE Press, Nov. 2003.
3. N. Anquetil and T. Lethbridge. Extracting concepts from file names: a new file clustering criterion. In ICSE, pages 84-93. ACM Press, 1998.
4. M. Bauer and M. Trifu. Architecture-aware adaptive clustering of 00 systems. In CSMR, pages 3-12. IEEE Press, Mar. 2004.
5. D. Bojic and D. Velasevic. A use-case driven method of architecture recovery for program understanding and reuse reengineering. In CSMR, pages 23-32. IEEE Press, 2000.
6. G. Canfora, A. Cimitile, A. D. Lucia, and G. A. D. Lucca. A case study of applying an eclectic approach to identify objects in code. In IWPC, pages 136-143. IEEE Press, 1999.
7. S. Choi and W. Scacchi. Extracting and restructuring the design of large systems. IEEE Software, 7(1):66-71, Jan. 1990.
8. A. Christl. Semi-automated mapping for the reflexion method. Diploma thesis no. 2160, University of Stuttgart, Computer Science, Jan. 2005.
9. A. Cimitile and G. Visaggio. Software salvaging and the call dominance tree. Journal of Systems and Software, 28:117-127, 1995.
10. C. M. de Oca and D. L. Carver. A visual representation model for software subsystem decomposition. In WCRE, pages 231-240. IEEE Press, 1998.
11. H. Gall and R. Klösch. Finding objects in procedural programs: an alternative approach. In WCRE, pages 208-217. IEEE Press, July 1995.
12. J.-F. Girard and R. Koschke. Finding components in a hierarchy of modules: a step towards architectural understanding. In ICSM, pages 58-65. IEEE Press, 1997.
13. J.-F. Girard, R. Koschke, and G. Schied. A metric-based approach to detect abstract data types and state encapsulations. Journal Automated Software Engineering, 6(4):82-89, 1999.
14. C. Hofmeister, R. Nord, and D. Soni. Applied Software Architecture. Object Technology Series. Addison Wesley, 2000.
15. D. H. Hutchens and V. R. Basili. System structure analysis: Clustering with data bindings. IEEE TSE, 11(8):749-757, Aug. 1985.
16. R. Koschke. Atomic Architectural Component Recovery for Program Understanding and Evolution. Ph.d. thesis, University of Stuttgart, http://www.iste.uni-stuttgart.de/ps/rainer/thesis, Oct. 1999.
17. R. Koschke and D. Simon. Hierarchical reflexion models. In WCRE, pages 36-45. IEEE Press, 2003.
18. C. Lindig and G. Snelting. Assessing modular structure of legacy code based on mathematical concept analysis. In ICSE, pages 349-359. IEEE Press, 1997.
19. S. S. Liu and N. Wilde. Identifying objects in a conventional procedural language: An example of data design recovery. In ICSM, pages 266-271. IEEE Press, Nov. 1990.
20. P. Livadas and T. Johnson. A new approach to finding objects in programs. Journal Software Maintenance and Evolution, 6:249-260, 1994.
21. K. Mahdavi, M. Harman, and R. M. Hierons. A multiple hill climbing approach to software module clustering. In ICSM, pages 315-324. IEEE Press, Sept. 2003.
22. S. Mancoridis, B. Mitchell, C. Rorres, Y. Chen, and E. Gansner. Using automatic clustering to produce high-level system organizations of source code. In IWPC, pages 45-53. IEEE Press, 1998.
23. O. Maqbool and H. A. Babri. The weighted combined algorithm: A linkage algorithm for software clustering. In CSMR, pages 15-24. IEEE Press, Mar. 2004.
24. B. S. Mitchell. A Heuristic Search Approach to Solving the Software Clustering Problem. Dissertation, Drexel University, Philadelphia, PA, United States, 2002.
25. H. A. Müller, S. R. Tilley, M. A. Orgun, B. D. Corrie, and N. H. Madhavji. A reverse engineering environment based on spatial and visual software interconnection models. In Proceedings of the Fifth ACM SIGSOFT Symposium on Software development environments, pages 88-98. ACM Press, Dec. 1992.
26. G. C. Murphy and D. Notkin. Reengineering with reflexion models: A case study. IEEE Computer, 30(8):29-36, Aug. 1997. Reprinted in Nikkei Computer, 19, January 1998, p. 161-169.
27. G. C. Murphy, D. Notkin, and K. Sullivan. Software reflexion models: Bridging the gap between source and high-level models. In Proc. of the Third ACM SIGSOFT Symposium on the Foundations of Software Engineering, pages 18-28, New York, NY, 1995. ACM Press.
28. R. M. Ogando, S. S. Yau, and N. Wilde. An object finder for program structure understanding in software maintenance. Journal Software Maintenance and Evolution, 6(5):261-283, September-October 1994.
29. S. Patel, W. Chu, and R. Baxter. A measure for composite module cohesion. In ICSE, pages 38-48. ACM Press, 1992.
30. D. Rayside, S. Reuss, E. Hedges, and K. Kontogiannis. The effect of call graph construction algorithms for object-oriented programs on automatic clustering. In IWPC, pages 191-200. IEEE Press, 2000.
31. H. Sahraoui, W. Melo, H. Lounis, and F. Dumont. Applying concept formation methods to object identfication in procedural code. In ASE, pages 210-218. IEEE Press, Nov. 1997.
32. K. Sartipi. Alborz: A query-based tool for software architecture recovery. In IWPC, pages 115-117. IEEE Press, May 2001.
33. K. Sartipi and K. Kontogiannis. A graph pattern matching approach to software architecture recovery. In ICSM, pages 408-417. IEEE Press, Nov. 2001.
34. R. W. Schwanke and S. J. Hanson. Using neural networks to modularize software. Machine Learning, 15:136-168, 1994.
35. A. Shokoufandeh, S. Mancoridis, and M. Maycock. Applying spectral methods to software clustering. In WCRE, pages 3-12. IEEE Press, Oct. 2002.
36. M. Siff and T. Reps. Identifying modules via concept analysis. IEEE TSE, 25(6):749-768, November/December 1999.
37. P. Tonella. Concept analysis for module restructuring. IEEE TSE, 27(4):351-363, Apr. 2001.
38. V. Tzerpos. The orphan adoption problem in architecture maintenance. In WCRE, pages 76-83. IEEE Press, 1997.
39. R. R. Valasareddi and D. L. Carver. A graph-based object identification process for procedural programs. In WCRE, pages 50-58. IEEE Press, Oct. 1998.
40. A. van Deursen and T. Kuipers. Identifying objects using cluster and concept analysis. In ICSE, pages 246-255. IEEE Press, 1999.
41. J. Weidl and H. Gall. Binding object models to source code: An approach to object-oriented rearchitecturing. In Proc. of the 22nd Computer Software and Applications Conference, pages 26-31. IEEE Press, 1998.
42. T. A. Wiggerts. Using clustering algorithms in legacy systems remodularization. In WCRE, pages 33-43. IEEE Press, 1997.
43. J. Wu and M.-A. D. Storey. A multi-perspective software visualization environment. In CASCON '00: Proceedings of the 2000 conference of the Centre for Advanced Studies on Collaborative research, page 15. IBM Press, 2000.
44. A. Yeh, D. H. D., and H. Reubenstein. Recovering abstract data types and object instances from a conventional procedural language. In WCRE, pages 227-236. IEEE Press, 1995.