A framework for testing security mechanisms for program-based attacks
SESS '05 Proceedings of the 2005 workshop on Software engineering for secure systems—building trustworthy applications
Towards a more efficient static software change impact analysis method
Proceedings of the 8th ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering
Comparison of different impact analysis methods and programmer's opinion: an empirical study
Proceedings of the 8th International Conference on the Principles and Practice of Programming in Java
A taxonomy for software change impact analysis
Proceedings of the 12th International Workshop on Principles of Software Evolution and the 7th annual ERCIM Workshop on Software Evolution
A comparative study of static CIA techniques
Proceedings of the Fourth Asia-Pacific Symposium on Internetware
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Impact analysis is the process of determining the effect, or impact, of a change to a software system. Dynamic impact analysis uses data obtained from executing a program to perform analysis after program termination for determining impacts more in line with how a program is used. Online impact analysis has the same goal, but is performed concurrently with program execution. While some of the tradeoffs between dynamic algorithms have been studied, no such study has been performed for online algorithms. In this paper, we present such a study by comparing two online algorithms and two previously published dynamic algorithms in terms of their space overhead, time for computation, computed impact sets, and scalability. Our results indicate that performing impact analysis online can be more scalable than the dynamic counterparts.