A survey of code-based change impact analysis techniques

@article{Li2013ASO,
  title={A survey of code-based change impact analysis techniques},
  author={Bixin Li and Xiaobing Sun and Hareton K. N. Leung and Sai Zhang},
  journal={Softw. Test., Verif. Reliab.},
  year={2013},
  volume={23},
  pages={613-646}
}
Software change impact analysis (CIA) is a technique for identifying the effects of a change, or estimating what needs to be modified to accomplish a change. Since the 1980s, there have been many investigations on CIA, especially for code-based CIA techniques. However, there have been very few surveys on this topic. This article tries to fill this gap. And 30 papers that provide empirical evaluation on 23 code-based CIA techniques are identified. Then, data was synthesized against four research… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 107 references

Using Relational Topic Models to capture coupling among classes in object-oriented software systems

2010 IEEE International Conference on Software Maintenance • 2010
View 4 Excerpts
Highly Influenced

Variable granularity for improving precision of impact analysis

2009 IEEE 17th International Conference on Program Comprehension • 2009
View 6 Excerpts
Highly Influenced

Traceability management for impact analysis

2008 Frontiers of Software Maintenance • 2008
View 7 Excerpts
Highly Influenced

JRipples: a tool for program comprehension during incremental change

13th International Workshop on Program Comprehension (IWPC'05) • 2005
View 7 Excerpts
Highly Influenced

The Dynamic Function Coupling Metric and Its Use in Software Evolution

11th European Conference on Software Maintenance and Reengineering (CSMR'07) • 2007
View 3 Excerpts
Highly Influenced