A taxonomy for software change impact analysis

IWPSE-EVOL'11 - Proceedings of the 12th International Workshop on Principles on Software Evolution

Volumn , Issue , 2011, Pages 41-50

  Lehnert, Steffen ^a  

^a ILMENAU UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

impact analysis; software evolution; taxonomy

Indexed keywords

IMPACT ANALYSIS; LITERATURE REVIEWS; SOFTWARE CHANGE; SOFTWARE EVOLUTION;

TAXONOMIES;

EID: 80053209847     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2024445.2024454     Document Type: Conference Paper

References (61)

1. G. Antoniol, G. Canfora, G. Casazza, and A. De Lucia. Identifying the starting impact set of a maintenance request: A case study. In Proceedings of the Fourth European Software Maintenance and Reengineering, pages 227-230, Zurich, Switzerland, February 2000.
2. T. Apiwattanapong, A. Orso, and M. J. Harrold. Efficient and precise dynamic impact analysis using execute-after sequences. In Proceedings of the International Conference on Software Engineering (ICSE 2005), pages 432-441, St. Louis, MO, May 2005.
3. R. S. Arnold and S. A. Bohner. Impact analysis - towards a framework for comparison. In Proceedings of the Conference on Software Maintenance (CSM '93), pages 292-301, Montreal, Que., Canada, September 1993.
4. L. Badri, M. Badri, and D. St-Yves. Supporting predictive change impact analysis: a control call graph based technique. In Proceedings of the 12th Asia-Pacific Conference on Software Engineering (APSEC '05), page 9, December 2005.
5. S. A. Bohner. Extending software change impact analysis into cots components. In Proceedings of the Annual NASA Goddard Software Engineering Workshop, pages 175-182, 2002.
6. S. A. Bohner and R. S. Arnold. Software Change Impact Analysis. IEEE Computer Society Publications Tutorial Series, Los Alamitos, CA, USA, 1996.
7. B. Breech, A. Danalis, S. Shindo, and L. Pollock. Online impact analysis via dynamic compilation technology. In Proceedings of the 20th IEEE International Conference of Software Maintenance, pages 453-457, September 2004.
8. B. Breech, M. Tegtmeyer, and L. Pollock. A comparison of online and dynamic impact analysis algorithms. In Proceedings of the European Conference on Software Maintenance and Reengineering 2005, pages 143-152, March 2005.
9. B. Breech, M. Tegtmeyer, and L. Pollock. Integrating influence mechanisms into impact analysis for increased precision. In Proceedings of the 22nd IEEE International Conference on Software Maintenance (ICSM '06), pages 55-65, Philadelphia, PA, December 2006.
10. L. Briand, Y. Labiche, and L. O'Sullivan. Impact analysis and change management of UML models. In Proceedings of the 19th International Conference on Software Maintenance, pages 256-265, 2003.
11. L. Briand, Y. Labiche, L. O'Sullivan, and M. Sówka. Automated impact analysis of UML models. Journal of Systems and Software, 79:339-352, 2006. (Pubitemid 43332514)
12. J. Buckley, T. Mens, M. Zenger, A. Rashid, and G. Kniesel. Towards a taxonomy of software change. Journal of Software Maintenance and Evolution: Research and Practice, 17:309-332, September 2005. (Pubitemid 41560611)
13. G. Canfora and L. Cerulo. Impact analysis by mining software and change request repositories. In Proceedings of the 11th IEEE International Software Metrics Symposium (METRICS'05), pages 29-38, Como, Italy, September 2005.
14. G. Canfora and L. Cerulo. Fine grained indexing of software repositories to support impact analysis. In Proceedings of the International Workshop on Mining Software Repositories (MSR'06), pages 105-111, 2006.
15. C. Dantas, L. Murta, and C. Werner. Mining change traces from versioned UML repositories. In Proceedings of the Brazilian Symposium on Software Engineering (SBES'07), pages 236-252, 2007.
16. A. De Lucia, F. Fasano, and R. Oliveto. Traceability management for impact analysis. In Proceedings of Frontiers of Software Maintenance (FoSM 2008), pages 21-30, Beijing, China, October 2008.
17. T. Feng and J. I. Maletic. Applying dynamic change impact analysis in component-based architecture design. In Proceeding of the Seventh International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2006), pages 43-48, Las Vegas, Nevada, USA, June 2006.
18. B. Fluri and H. C. Gall. Classifying change types for qualifying change couplings. In Proceeding of the 14th IEEE International Conference on Program Comprehension (ICPC 2006), pages 35-45, Athens, 2006.
19. K. B. Gallagher and J. R. Lyle. Using program slicing in software maintenance. IEEE Transactions on Software Engineering, 17(8):751-761, August 1991.
20. T. Gîrba and S. Ducasse. Modeling history to analyze software evolution. Journal of Software Maintenance and Evolution: Research and Practice, 18:207-236, 2006. (Pubitemid 43944236)
21. A. Goknil, I. Kurtev, and K. van den Berg. Change impact analysis based on formalization of trace relations for requirements. In Proceedings of the EC-MDA Traceability Workshop (ECMDA-TW), pages 59-75, 2008.
22. C. Gupta, Y. Singh, and D. S. Chauhan. An efficient dynamic impact analysis using definition and usage information. International Journal of Digital Content Technology and its Applications, 3(4):112-115, 2009.
23. C. Gupta, Y. Singh, and D. S. Chauhan. A dynamic approach to estimate change impact using type of change propagation. Journal of Information Processing Systems, 6(4):597-608, December 2010.
24. S. Ibrahim, N. B. Idris, M. Munro, and A. Deraman. Integrating software traceability for change impact analysis. The International Arab Journal of Information Technology, 2(4):301-308, October 2005.
25. S. Ibrahim, N. B. Idris, M. Munro, and A. Deraman. A requirements traceability to support change impact analysis. Asean Journal of Information Technology, 4(4):345-355, 2005.
26. S. Ibrahim, N. B. Idris, M. Munro, and A. Deraman. A software traceability validation for change impact analysis of object oriented software. In Proceedings of the International Conference on Software Engineering Research and Practice & Conference on Programming Languages and Compilers, SERP 2006, volume 1, pages 453-459, Las Vegas, Nevada, USA, June 2006.
27. H. Kagdi, M. L. Collard, and J. I. Maletic. A survey and taxonomy of approaches for mining software repositories in the context of software evolution. Journal of Software Maintenance and Evolution: Research and Practice, 19:77-131, 2007. (Pubitemid 46752051)
28. M. Kilpinen. The Emergence of Change at the Systems Engineering and Software Design Interface - An Investigation of Impact Analysis. PhD thesis, Cambridge University, Engineering Department, 2008.
29. J. Korpi and J. Koskinen. Supporting impact analysis by program dependence graph based forward slicing. In K. Elleithy, editor, Advances and Innovations in Systems, Computing Sciences and Software Engineering, pages 197-202. Springer Netherlands, 2007.
30. J. Law and G. Rothermel. Incremental dynamic impact analysis for evolving software systems. In Proceedings of the 14th International Symposium on Software Reliability Engineering (ISSRE'03), pages 430-441, November 2003.
31. J. Law and G. Rothermel. Whole program path-based dynamic impact analysis. In Proceedings of the International Conference on Software Engineering (2003), pages 308-318, 2003.
32. M. Lindvall and K. Sandahl. Traceability aspects of impact analysis in object-oriented systems. Journal of Software Maintenance: Research and Practice, 10:37-57, January 1998.
33. T. Mens, J. Buckley, M. Zenger, and A. Rashid. Towards a taxonomy of software evolution. In Proceedings of the 2nd International Workshop on Unanticipated Software Evolution, Warsaw, Poland, April 2003.
34. A. Orso, T. Apiwattanapong, and M. J. Harrold. Leveraging field data for impact analysis and regression testing. In Proceedings of the 9th European software engineering conference held jointly with 11th ACM SIGSOFT international symposium on Foundations of software engineering (ESEC/FSE'03), pages 128-137, Helsinki, Finland, 2003.
35. A. Orso, T. Apiwattanapong, J. Law, G. Rothermel, and M. J. Harrold. An empirical comparison of dynamic impact analysis algorithms. In Proceedings of the 26th International Conference on Software Engineering (ICSE'04), pages 491-500, Edinburgh, Scotland, 2004.
36. D. Popescu. Impact analysis for event-based components and systems. In Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering, volume 2, New York, USA, 2010.
37. D. Popescu, J. Garcia, K. Bierhoff, and N. Medvidovic. Helios: Impact analysis for event-based systems. In Proceedings of the 32nd International Conference on Software Engineering (ICSE), 2010.
38. D. Poshyvanyk, A. Marcus, R. Ferenc, and T. Gyimóthy. Using information retrieval based coupling measures for impact analysis. Empirical Software Engineering, 14(1):5-32, 2009.
39. X. Ren, B. G. Ryder, M. Stoerzer, and F. Tip. Chianti: A change impact analysis tool for java programs. In Proceedings of the 27th international conference on Software Engineering (ICSE '05), pages 664-665, New York, NY, USA, 2005. ACM.
40. X. Ren, F. Shah, B. Tip, and O. Chesley. Chianti: A tool for change impact analysis of java programs. In Proceedings of the 19th annual ACM SIG-PLAN Conference on Object-oriented programming, systems, languages, and applications (OOPSLA '04), pages 432-448, Vancouver, BC, Canada, 2004.
41. X. Ren, F. Shah, F. Tip, B. G. Ryder, O. Chesley, and J. Dolby. Chianti: A prototype change impact analysis tool for java. Technical Report DCS-TR-533, Rutgers University, Department of Computer Science, September 2003.
42. B. Ryder and F. Tip. Change impact analysis for object-oriented programs. In Proceedings of the 2001 ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering (PASTE '01), pages 46-53, Snowbird, Utah, USA, June 2001.
43. R. Santelices and M. J. Harrold. Probabilistic slicing for predictive impact analysis. Technical report, Georgia Tech Center for Experimental Research in Computer Systems (CERCS), 2010.
44. A. R. Sharafat and L. Tahvildari. Change prediction in object-oriented software systems: A probabilistic approach. Journal of Software, 3(5):26-39, May 2008.
45. M. Sherriff and L. Williams. Empirical software change impact analysis using singular value decomposition. Technical report, IBM, North Carolina State University, 2007.
46. A. Tang, A. Nicholson, Y. Jin, and J. Han. Using bayesian belief networks for change impact analysis in architecture design. The Journal of Systems and Software, 80:127-148, 2007. (Pubitemid 44751156)
47. F. Tip. A survey of program slicing techniques. Journal of Programming Languages, 3:121-189, 1994.
48. G. Tóth, P. Hegedüs, A. Beszédes, T. Gyimóthy, and J. Jász. Comparison of different impact analysis methods and programmer's opinion: an empirical study. In Proceedings of the 8th International Conference on the Principles and Practice of Programming in Java (PPPJ '10), New York, USA, 2010.
49. K. van den Berg. Change impact analysis of crosscutting in software architectural design. In Proceedings of the Workshop on Architecture-Centric Evolution (ACE 2006), pages 1-15, Nantes, July 2006.
50. S. Vaucher, H. Sahraoui, and J. Vaucher. Discovering new change patterns in object-oriented systems. In Proceedings of the 2008 15th Working Conference on Reverse Engineering (WCRE '08), pages 37-41, Washington, DC, USA, 2008.
51. L. Vidács, A. Beszédes, and R. Ferenc. Macro impact analysis using macro slicing. In Proceedings of the Second International Conference on Software and Data Technologies (ICSOFT '07), pages 230-235, 2007.
52. U. Vora. Change impact analysis and software evolution specification for continually evolving systems. In Proceedings of the Fifth International Conference on Software Engineering Advances, pages 238-243, Nice, France, August 2010.
53. S. Wong, Y. Cai, and M. Dalton. Change impact analysis with stochastic dependencies. Technical report, Drexel University Philadelphia, PA, USA, 2011.
54. F. Xia and P. Srikanth. A change impact dependency measure for predicting the maintainability of source code. In Proceedings of the 28th Annual International Computer Software and Applications Conference (COMPSAC '04), volume 2, pages 22-23, September 2004.
55. Z. Xing and E. Stroulia. Data-mining in support of detecting class co-evolution. In Proceedings of the 16th International Conference on Software Engineering & Knowledge Engineering (SEKE'04), pages 123-128, June 2004.
56. Z. Xing and E. Stroulia. Understanding class evolution in object-oriented software. In Proceedings of the 12th IEEE International Workshop on Program Comprehension (IWPC'04), pages 34-43, June 2004.
57. A. T. Ying, G. C. Murphy, R. Ng, and M. C. Chu-Carroll. Predicting source code changes by mining change history. IEEE Transactions on Software Engineering, 30(9):574-586, September 2004.
58. N. Yoo and H.-A. Choi. An xml-based approach for interface impact analysis in sustained system. In Proceedings of the International Conference on Information and Knowledge Engineering (IKE'04), pages 161-167, Las Vegas, Nevada, USA, June 2004.
59. J. Zhao, H. Yang, L. Xiang, and B. Xu. Change impact analysis to support architectural evolution. Journal of Software Maintenance, 14(5):317-333, 2002.
60. Y. Zhou, M. Wuersch, E. Giger, H. Gall, and J. Lue. A bayesian network based approach for change coupling prediction. In Proceedings of the 15th Working Conference on Reverse Engineering 2008, pages 27-36, October 2008.
61. T. Zimmermann, P. Weissgerber, S. Diehl, and A. Zeller. Mining version histories to guide software changes. IEEE Transactions on Software Engineering, 31(6):429-445, June 2005. (Pubitemid 41245067)