Change Impact Analysis Based on a Taxonomy of Change Types

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Abstract

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.

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