Software re-modularization based on structural and semantic metrics

Proceedings - Working Conference on Reverse Engineering, WCRE

Volumn , Issue , 2010, Pages 195-204

  Bavota, Gabriele ^a   De Lucia, Andrea ^a   Marcus, Andrian ^b   Oliveto, Rocco ^a  

^a UNIVERSITY OF SALERNO   (Italy)

^b Wayne State University   (United States)

Author keywords

Conceptual coupling between classes; Empirical studies; Information flow based coupling; Software re modularization

Indexed keywords

CONCEPTUAL COUPLING BETWEEN CLASSES; CONTINUOUS MODIFICATION; EMPIRICAL STUDIES; INFORMATION FLOWS; JHOTDRAW; MODULARIZATIONS; OPEN SOURCE SYSTEM; ORIGINAL DESIGN; QUALITY OF SOFTWARES; SEMANTIC METRICS; SOFTWARE EVOLUTION; SOFTWARE SYSTEMS;

COMPUTER SOFTWARE SELECTION AND EVALUATION; MAINTAINABILITY; MODULAR CONSTRUCTION; PACKAGING; REVERSE ENGINEERING; SEMANTICS; TEACHING;

OPEN SYSTEMS;

EID: 78650673140     PISSN: 10951350     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCRE.2010.29     Document Type: Conference Paper

References (32)

1. W. P. Stevens, G. J. Myers, and L. L. Constantine, "Structured design," IBM Systems Journal, vol. 13, no. 2, pp. 115-139, 1974.
2. A. Marcus, D. Poshyvanyk, and R. Ferenc, "Using the conceptual cohesion of classes for fault prediction in object-oriented systems," IEEE Transaction on Software Engineering, vol. 34, no. 2, pp. 287-300, 2008.
3. Y. Lee, B. Liang, S. Wu, and F. Wang, "Measuring the coupling and cohesion of an object-oriented program based on information flow," in Proceedings of International Conference on Software Quality, Maribor, Slovenia, 1995, pp. 81-90.
4. D. Poshyvanyk, A. Marcus, R. Ferenc, and T. Gyimóthy, "Using information retrieval based coupling measures for impact analysis," Empirical Software Engineering, vol. 14, no. 1, pp. 5-32, 2009.
5. K. Praditwong, M. Harman, and X. Yao, "Software module clustering as a multi-objective search problem," IEEE Transactions on Software Engineering, PrePrint.
6. A. Cimitile and G. Visaggio, "Software salvaging and the call dominance tree," Journal of Systems and Software, vol. 28, no. 2, pp. 117-127, 1995.
7. S. C. Shaw, M. Goldstein, M. Munro, and E. Burd, "Moral dominance relations for program comprehension," IEEE Transactions on Software Engineering, vol. 29, no. 9, pp. 851-863, 2003.
8. G. Antoniol, M. Di Penta, G. Casazza, and E. Merlo, "A method to re-organize legacy systems via concept analysis," in Proceedings of 9th International Workshop on Program Comprehension. Toronto, Canada: IEEE CS Press, 2001, pp. 281-292.
9. G. Canfora, A. Cimitile, A. De Lucia, and G. A. Di Lucca, "Decomposing legacy systems into objects: an eclectic approach," Information and Software Technology, vol. 46, no. 3, pp. 401-412, 2001.
10. R. Koschke, G. Canfora, and J. Czeranski, "Revisiting the delta ic approach to component recovery," Science of Computer Programming, vol. 60, no. 2, pp. 171-188, 2006.
11. P. Tonella, "Concept analysis for module restructuring," IEEE Transaction Software Engineering, vol. 27, no. 4, pp. 351-363, 2001.
12. A. van Deursen and T. Kuipers, "Identifying objects using cluster and concept analysis," in Proceedings of 21st International Conference on Software Engineering. Los Angeles, California, USA: ACM Press, 1999, pp. 246 - 255.
13. T. A. Wiggerts, "Using clustering algorithms in legacy systems remodularization," in Proceedings of 4th Working Conference on Reverse Engineering. Amsterdam, The Netherlands: IEEE CS Press, 1997, p. 33.
14. N. Anquetil and T. Lethbridge, "Experiments with clustering as a software remodularization method," in Proceedings of 6th Working Conference on Reverse Engineering. Atlanta, Georgia, USA: IEEE CS Press, 1999, pp. 235-255.
15. M. Shtern and V. Tzerpos, "Methods for selecting and improving software clustering algorithms," in Proceedings of 17th IEEE International Conference on Program Comprehension. Vancouver, Canada: IEEE CS Press, 2009, pp. 248-252.
16. J. Wu, A. E. Hassan, and R. C. Holt, "Comparison of clustering algorithms in the context of software evolution," in Proceedings of 21st IEEE International Conference on Software Maintenance. Budapest, Hungary: IEEE CS Press, 2005, pp. 525-535.
17. O. Maqbool and H. A. Babri, "Hierarchical clustering for software architecture recovery," IEEE Transactions on Software Engineering, vol. 33, no. 11, pp. 759-780, 2007.
18. S. Mancoridis, B. S. Mitchell, C. Rorres, Y.-F. Chen, and E. R. Gansner, "Using automatic clustering to produce high-level system organizations of source code," in Proccedings of 6th International Workshop on Program Comprehension. Ischia, Italy: IEEE CS Press, 1998.
19. B. S. Mitchell and S. Mancoridis, "On the automatic modularization of software systems using the bunch tool," IEEE Transactions on Software Engineering, vol. 32, no. 3, pp. 193-208, 2006.
20. M. Harman, R. M. Hierons, and M. Proctor, "A new representation and crossover operator for search-based optimization of software modularization," in Proceedings of the Genetic and Evolutionary Computation Conference. New York, USA: Morgan Kaufmann Publishers Inc., 2002.
21. O. Seng, M. Bauer, M. Biehl, and G. Pache, "Search-based improvement of subsystem decompositions," in Proceedings of the Genetic and Evolutionary Computation Conference. Washington, Columbia, USA: ACM Press, 2005, pp. 1045-1051.
22. H. Abdeen, S. Ducasse, H. A. Sahraoui, and I. Alloui, "Automatic package coupling and cycle minimization," in Proceedings of the 16th Working Conference on Reverse Engineering. Lille, France: IEEE CS Press, 2009, pp. 103-112.
23. J. I. Maletic and A. Marcus, "Supporting program comprehension using semantic and structural information," in Proceedings of 23rd International Conference on Software Engineering. Toronto, Ontario, Canada: IEEE CS Press, 2001, pp. 103-112.
24. S. Deerwester, S. T. Dumais, G. W. Furnas, T. K. Landauer, and R. Harshman, "Indexing by latent semantic analysis," Journal of the American Society for Information Science, vol. 41, no. 6, pp. 391-407, 1990.
25. A. Kuhn, S. Ducasse, and T. Gîrba, "Semantic clustering: Identifying topics in source code," Information and Software Technology, vol. 49, no. 3, pp. 230-243, 2007.
26. F. Ricca, E. Pianta, P. Tonella, and C. Girardi, "Improving web site understanding with keyword-based clustering," Journal of Software Maintenance and Evolution: Research and Practice, vol. 20, no. 1, pp. 1-29, 2008.
27. R. Baeza-Yates and B. Ribeiro-Neto, Modern Information Retrieval. Addison-Wesley, 1999.
28. A. De Lucia, R. Oliveto, and L. Vorraro, "Using structural and semantic metrics to improve class cohesion," in Proceedings of 28th International Conference on Software Maintenance. Beijing, China: IEEE CS Press, 2008, pp. 27-36.
29. V. Basili, G. Caldiera, and D. H. Rombach, The Goal Question Metric Paradigm. John Wiley and Sons, 1994.
30. A. N. Oppenheim, Questionnaire Design, Interviewing and Attitude Measurement. Pinter Publishers, 1992.
31. M. O'Keeffe and M. O'Cinneide, "Search-based software maintenance," in Proceedings of 10th European Conference on Software Maintenance and Reengineering. Bari, Italy: IEEE CS Press, 2006, pp. 249-260.
32. O. Seng, J. Stammel, and D. Burkhart, "Search-based determination of refactorings for improving the class structure of object-oriented systems," in Proceedings of the Genetic and Evolutionary Computation Conference, Seattle, Washington, USA, 2006, pp. 1909-1916.