Do code data sharing dependencies support an early prediction of software actual change impact set?

Author:

Liu Xiaoyu1ORCID,Huang LiGuo1,Egyed Alexander2,Ge Jidong3

Affiliation:

1. Department of Computer Science and Engineering; Southern Methodist University; Dallas Texas 75275-0122 USA

2. Institute of Software Systems Engineering; Johannes Kepler University; Linz 4040 Austria

3. State Key Laboratory for Novel Software and Technology; Nanjing University; 22 Hankou Road Nanjing China

Publisher

Wiley

Subject

Software

Reference78 articles.

1. Hassan AE Holt RC Predicting change propagation in software systems 2004 Chicago, USA 284 293

2. Arnold RS Bohner SA Impact analysis - towards a framework for comparison 1993 Montreal, Que., Canada 292 301

3. Buckner J Buchta J Petrenko M Rajlich V JRipples: A tool for program comprehension during incremental change 2005 St. Louis, MO, USA 149 152

4. Orso A Harrold MJ Leveraging field data for impact analysis and regression testing 2003 Helsinki, Finland 128 137

5. Orso A Apiwattanapong T Law J Rothermel G Harrold MJ An empirical comparison of dynamic impact analysis algorithms 2004 Edinburgh, Scotland, UK 491 500

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Supporting Requirements to Code Traceability Creation by Code Comments;International Journal of Software Engineering and Knowledge Engineering;2021-08

2. A Reflection on the Predictive Accuracy of Dynamic Impact Analysis;2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER);2020-02

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