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Variable Granularity for Improving Precision of Impact Analysis
| Citations: | 24 - 0 self |
BibTeX
@MISC{Petrenko_variablegranularity,
author = {Maksym Petrenko and Václav Rajlich},
title = {Variable Granularity for Improving Precision of Impact Analysis},
year = {}
}
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Abstract
Impact analysis is a specialized process of program comprehension that investigates the nature and extent of a planned software change. Traditionally, impact analysis inspects dependencies among the software components of a fixed granularity; these components constitute a dependency graph. In this paper, we argue that the single granularity is insufficient and leads to imprecise analysis. We explain how the precision can be improved by variable granularity, where the programmers choose among the granularity of classes, the granularity of class members, and the granularity of code fragments. We assess the resulting precision by a case study on open-source software. 1.
