DocumentCode
2982387
Title
Evaluating context-sensitive slicing and chopping
Author
Krinke, Jens
Author_Institution
Passau Univ., Germany
fYear
2002
fDate
2002
Firstpage
22
Lastpage
31
Abstract
We present an empirical evaluation of three context-sensitive slicing algorithms and five context-sensitive chopping algorithms, and compare them to context-insensitive methods. Besides the algorithms by Reps et al. (1994, 1995) and Agrawal (2001) we investigate six new algorithms based on variations of k-limited call strings and approximative chopping based on summary information. It turns out that chopping based on summary information may have a prohibitive complexity, and that approximate algorithms are almost as precise and much faster.
Keywords
computational complexity; program slicing; complexity; context-sensitive chopping algorithm evaluation; context-sensitive slicing algorithm evaluation; k-limited call strings; summary information; Computational Intelligence Society; Data analysis; Flow graphs; Prototypes; Reverse engineering; Software algorithms; Software maintenance; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Maintenance, 2002. Proceedings. International Conference on
ISSN
1063-6773
Print_ISBN
0-7695-1819-2
Type
conf
DOI
10.1109/ICSM.2002.1167744
Filename
1167744
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