Using Formal Concept Analysis to support change analysis
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
Combining concept lattice with call graph for impact analysis
Advances in Engineering Software
A comparative study of static CIA techniques
Proceedings of the Fourth Asia-Pacific Symposium on Internetware
Using water wave propagation phenomenon to study software change impact analysis
Advances in Engineering Software
WAVE-CIA: a novel CIA approach based on call graph mining
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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Software change impact analysis (CIA) is a key technique for identifying unpredicted and potential effects caused by changes made to software. Different change types often have different impact mechanisms, even some changes do not impact other entities in programs in spite of some dependences existed between these entities and the modified entity. In this paper, we propose a static CIA technique, which considers different impact mechanisms and rules of different change types, to calculate the impact sets. Precision improvement of the impact sets relies on 3 aspects: change types of a modified entity, dependences between the modified entity and other entities, and the intuition that to win at the start -- if the initial impact set is estimated more accurately, then the final impact set depending on this initial impact set will be more precise. Experimental case study demonstrates the effectiveness of our technique, and its potential applications in software maintenance.