Abstract
This paper introduces an approach to locating dependence structures in a program by searching the space of the powerset of the set of all possible program slices. The paper formulates this problem as a search-based software engineering problem. To evaluate the approach, the paper introduces an instance of a search-based slicing problem concerned with locating sets of slices that decompose a program into a set of covering slices that minimize inter-slice overlap. The paper reports the result of an empirical study of algorithm performance and result-similarity for Hill Climbing, Genetic, Random Search and Greedy Algorithms applied to a set of 12 C programs. (c) 2007 Elsevier B.V. All rights reserved.
Original language | English |
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Pages (from-to) | 1189 - 1209 |
Number of pages | 21 |
Journal | INFORMATION AND SOFTWARE TECHNOLOGY |
Volume | 50 |
Issue number | 12 |
DOIs | |
Publication status | Published - Nov 2008 |