A Prototype for Software Refactoring Recommendation System

doi:10.23940/ijpe.20.07.p12.10951104

Abstract

Abstract: Software refactoring is used to reduce the costs and risks of software evolution. Automated software refactoring tools can reduce risks caused by manual refactoring, improve efficiency, and reduce difficulties of software refactoring. Researchers have made great efforts to research how to implement and improve automated software refactoring tools. However, results of automated refactoring tools often deviate from the intentions of the implementer. To this end, in this paper, we proposed and implemented a prototype tool for a software refactoring recommendation system based on previous research. The tool provides users with an optimized software refactoring scheme and users realize refactoring intentions by interacting with the tool. The tool has been evaluated to be effective, especially for users who are inexperienced and non- English speaking.

Key words: software refactoring, recommendation, refactoring tool

Yuan Gao, Youchun Zhang, Wenpeng Lu, Jie Luo, and Daqing Hao. A Prototype for Software Refactoring Recommendation System [J]. Int J Performability Eng, 2020, 16(7): 1095-1104.

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References

1. W. F. Opdyke, “Refactoring Object-Oriented Frameworks,” Ph.D. Thesis, Urbana-Champaign, IL, USA, 1992
2. T. Mens and T. Tourw´e, “A Survey of Software Refactoring,” IEEE Transactions on Software Engineering, Vol. 30, pp. 126-139, February 2004
3. M. Fowler, K. Beck, J. Brant, W. Opdyke,D. Roberts, “Refactoring: Improving the Design of Existing Code,” Addison-Wesley Professional, 2003
4. N. Hajrahimi and S. M .H. Dehaghani, “Which Factors Affect Software Projects Maintenance Cost More?” Journal of Academy of Medical Sciences of Bosnia and Herzegovina, Vol. 21, pp. 63-66, March 2013
5. Y. Kataoka, T. Imai, H. Andou,T. Fukaya, “A Quantitative Evaluation of Maintainability Enhancement by Refactoring,” inProceedings of the International Conference on Software Maintenance, pp. 576-585, Washington, USA, October 2002
6. M. Kim, D. Cai,S. Kim, “An Empirical Investigation into the Role of Api-Level Refactorings During Software Evolution,” inProceedings of the 33rd International Conference on Software Engineering, pp. 151-160, Waikiki, Honolulu, USA, May 2011
7. M. Kim, T. Zimmermann,N. Nagappan, “A Field Study of Refactoring Challenges and Beneﬁts,” inProceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering, pp. 1-11, Cary North Carolina, November 2012
8. F. A.Fontana and S. Spinelli, “Impact of Refactoring on Quality Code Evaluation,” inProceedings of the 4th Workshop on Refactoring Tools, pp. 37-40, Waikiki, Honolulu HI, USA, May 2011
9. E. Murphy-Hill and P. B. Andrew, “Refactoring Tools: Fitness for Purpose,” IEEE Software, Vol. 25, No. 5, pp. 38-44, September 2008
10. E. Murphy-Hill, C. Parnin,A. P. Black, “How We Refactor, and How We Know It,” inProceedings of the 31st International Conference on Software Engineering, ICSE'09, pp. 287-297, Washington, DC, USA, May 2009,.
11. E. Murphy-hill and A. P. Black, “Why Don't People Use Refactoring Tools,” inProceedings of the 1st Workshop on Refactoring Tools, ECOOP'07, pp. 60-61, TU Berlin, July 2007
12. S. Diehl, P. WeiBgerber,B. Biegel, “Making Programmers Aware of Refactorings,”WRT 2007, pp. 58-59, TU Berlin, July 2007
13. E. Murphy-Hill, R. Jiresal,G. C. Murphy, “Improving Software Developers' Fluency by Recommending Development Environment Commands,” inProceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering, FSE'12, pp. 1-11, Cary, North, Carolina, November 2012
14. G. H.Pinto and F. Kamei, “What Programmers Say about Refactoring Tools?: An Empirical Investigation of Stack Overflow,” in Proceedings of the 2013 ACM Workshop on Workshop on Refactoring Tools, WRT'13, pp. 33-36, Indianapolis, Indiana, USA, October 2013
15. X. Ge and E. Murphy-Hill, “Manual Refactoring Changes with Automated Refactoring Validation,” inProceedings of the 36th International Conference on Software Engineering, ICSE 2014, pp. 1095-1105, Hyderabad, India, May 2014
16. E. Murphy-Hill and A. P. Black, “Breaking the Barriers to Successful Refactoring: Observations and Tools for Extract Method,” inProceedings of the 30th International Conference on Software Engineering, ICSE'08, pp. 421-430, Leipzig, Germany, May 2008
17. A. P.Black and E. Murphy-hill, “Restructuring Software with Gestures,” inProceedings of IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), pp. 165-172, 2011
18. E. Murphy-Hill, “Activating Refactorings Faster,” inProceedings of Companion to the 22Nd ACM SIGPLAN Conference on Object-Oriented Programming Systems and Applications Companion, OOPSLA'07, pp. 925-926, Montreal, Quebec, Canada, October 2007
19. Y. Gao, H. Liu, X. Fan,Z. Niu, “Analyzing Refactorings' Impact on Regression Test Cases,” in Proceedings of the 2015 IEEE 39th Annual Computer Software and Applications Conference, Vol. 2, pp. 222-231, July 2015
20. Y. Gao, H. Liu, X. Z. Fan, Z. D. Niu,W. Z. Shao, “Resolution Sequence of Bad Smells,” Journal of Software, Vol. 23, pp. 1965-1977, August 2012
21. Y. Gao, H. Liu, X. Z. Fan,Z. D. Niu, “Method Name Recommendation based on Source Code Depository and Feature Matching,” Journal of Software, Vol. 26, pp. 3062-3074, December 2015
22. Y. Gao, H. Liu, X. Z. Fan,Z. D. Niu, “Inferring Refactoring Intention from Test Case Modification,” Transactions of Beijing Institute of Technology, Vol. 37, pp. 537-543, May 2017
23. D. B. Roberts, “Practical Analysis for Refactoring,” PhD Thesis, Champaign, IL, USA, 1999
24. R. Koschke, R. Falke,P. Frenzel, “Clone Detection using Abstract Syntax Suffix Trees,” inProceedings of 13th Working Conference on Reverse Engineering, pp. 253-262, Benevento, October 2006
25. F. Simon, F. Steinbrucker,C. Lewerentz, “Metrics based Refactoring,” inProceedings of Europen Conference on Software Maintenance and Reengineering, pp. 30-38, March 2001
26. E. Van Emden and L. Moonen, “Java Quality Assurance by Detecting Code Smells,” inProceedings of the Ninth Working Conference on Reverse Engineering, WCRE'02, pp. 97-106, Richmond, VA, USA, December 2002
27. M. Lanza and S. Ducasse, “Understanding Software Evolution using a Combination of software Visualization and Software Metrics,”Journal of L Objet, Vol. 8, pp. 135-149, 2002
28. J. Bohnet and J. Dollner, “Analyzing Feature Implementation by Visual Exploration of Architecturally-Embedded Call-Graphs,” inProceedings of the 2006 International Workshop on Dynamic Systems Analysis, WODA'06, pp. 41-48, Shanghai, China, May 2006
29. C. Parnin, C. Gorg,O. Nnadi, “A Catalogue of Lightweight Visualizations to Support Code Smell Inspection,” inProceedings of the 4th ACM Symposium on Software Visualization, SoftVis'08, pp. 77-86, Ammersee Germany, September 2008
30. R. Komondoor and S. Horwitz, “Using Slicing to Identify Duplication in Source Code,” inProceedings of the International Symposium on Static Analysis, pp. 40-56, Berlin, July 2001
31. R. V. Komondoor, “Automated Duplicated Code Detection and Procedure Extraction,” PhD Thesis, 2003
32. Xi Ge and E. Murphy-Hill, “Benefactor: A Flexible Refactoring Tool for Eclipse,” inProceedings of the ACM International Conference Companion on Object Oriented Programming Systems Languages and Applications Companion, OOPSLA'11, pp. 19-20, Portland, Oregon, USA, October 2011
33. Xi Ge, Q. L. DuBose, and E. Murphy-Hill, “Reconciling Manual and Automatic Refactoring,” inProceedings of the 2012 International Conference on Software Engineering, ICSE 2012, pp. 211-221, Zurich Switzerland, June 2012
34. S. R. Foster, W. G. Griswold,S. Lerner, “Witchdoctor: Ide Support for Realtime Auto-Completion of Refactorings,” inProceedings of the 2012 International Conference on Software Engineering, ICSE 2012, pp. 222-232, Piscataway, NJ, USA, 2012
35. M. Sridharan, M. Vechev, V. Raychev,M. Schafer, “Refactoring with Synthesis,” ACM Special Interest Group on Programming Languages, Vol. 48, No. 10, pp. 339-354, October 2013
36. N. Chen, R. E. Johnson, D. Dig, S. Negara,M. Vakilian, “Is It Dangerous to Use Version Control Histories to Study Source Code Evolution?” inProceedings of the 26th European Conference on Object-Oriented Programming, pp. 79-103, June 2012
37. S. Negara, N. Chen, M. Vakilian, R. E. Johnson,D. Dig, “A Comparative Study of Manual and Automated Refactorings,” inProceedings of the 27th European Conference on Object-Oriented Programming, ECOOP'13, pp. 552-576, Berlin, Heidelberg, 2013
38. S. Diehl, P. WeiBgerber,B. Biegel, “Making Programmers Aware of Refactorings,” inProceedings of the 1st Workshop on Refactoring Tools, ECOOP'07, pp. 58-59, TU Berlin, July 2007
39. N. Yoshida, E. Choi,K. Inoue, “Active Support for Clone Refactoring: A Perspective,” inProceedings of the 2013 ACM Workshop on Workshop on Refactoring Tools, WRT'13, pp. 13-16, Indianapolis, Indiana USA, October 2013
40. H. C.Jiau and J. C. Chen, “Test Code Differencing for Test-Driven Refactoring Automation,” SIGSOFT Softw. Eng. Notes, Vol. 34, No. 1, pp. 1-10, January 2009
41. H. Happel and W. Maalej, “Potentials and Challenges of Recommendation Systems for Software Development,” inProceedings of the 2008 International Workshop on Recommendation Systems for Software Engineering, RSSE'08, pp. 11-15, Atlanta, Georgia, November 2008
42. D. Campbell and M. Miller, “Designing Refactoring Tools for Developers,” inProceedings of the 2nd Workshop on Refactoring Tools, WRT'08, pp. 1-2, Nashville, Tennessee, October 2008
43. Refactor! pro, (http://www.devexpress.com/products/net/refactor
44. H. Liu, X. Guo,W. Z. Shao, “Monitor-based Instant Software Refactoring,” IEEE Transactions on Software Engineering, Vol. 39, pp. 1112-1126, August 2013
45. G. Bavota, S. Panichella, N. Tsantalis, M. Di Penta, R. Oliveto,G. Canfora, “Recommending Refactorings based on Team Co-Maintenance Patterns,” inProceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering, ASE'14, pp. 337-342, Vasteras, Sweden, September 2014
46. D. Silva, R. Terra,M. T. Valente, “Recommending Automated Extract Method Refactorings,” inProceedings of the 22nd International Conference on Program Comprehension, ICPC 2014, pp. 146-156, Hyderabad, India, June 2014
47. R. Terra, L. F. Miranda, M. T. Valente,V. Sales, “Recommending Move Method Refactorings using Dependency Sets,” inProceedings of 2013 20th Working Conference on Reverse Engineering (WCRE), pp. 232-241, Koblenz, Germany, October 2013
48. A. Chatzigeorgiou and N. Tsantalis, “Identification of Extract Method Refactoring Opportunities for the Decomposition of Methods,” Journal of Systems and Software, Vol. 84, pp. 1757-1782, October 2011
49. M. Mkaouer, M. Kessentini, S. Bechikh, K. Deb,M. O. Cinneide, “Recommendation System for Software Refactoring using Innovization and Interactive Dynamic Optimization,” inProceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering, ASE'14, pp. 331-336, Vasteras, Sweden, September 2014

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