Title
A schema for interprocedural modification side-effect analysis with pointer aliasing
Abstract
The first interprocedural modification side-effects analysis for C (MODC) that obtains better than worst-case precision on programs with general-purpose pointer usage is presented with empirical results. The analysis consists of an algorithm schema corresponding to a family of MODC algorithms with two independent phases: one for determining pointer-induced aliases and a subsequent one for propagating interprocedural side effects. These MODC algorithms are parameterized by the aliasing method used. The empirical results compare the performance of two dissimilar MODC algorithms: MODC(FSAlias) uses a flow-sensitive, calling-context-sensitive interprocedural alias analysis; MODC(FIAlias uses a flow-insensitive, calling-context-insensitive alias analysis which is much faster, but less accurate. These two algorithms were profiled on 45 programs ranging in size from 250 to 30,000 lines of C code, and the results demonstrate dramatically the possible cost-precision trade-offs. This first comparative implementation of MODC analyses offers insight into the differences between flow-/context-sensitive and flow-/context-insensitive analyses. The analysis cost versus precision trade-offs in side-effect information obtained are reported. The results show surprisingly that the precision of flow-sensitive side-effect analysis is not always prohibitive in cost, and that the precision of flow-insensitive analysis is substantially better than worst-case estimates and seems sufficient for certain applications. On average MODC(FSAlias) for procedures and calls is in the range of 20% more precise than MODC(FIAlias); however, the performance was found to be at least an order of magnitude slower than MODC(FIAlias).
Year
DOI
Venue
2001
10.1145/383043.381532
ACM Trans. Program. Lang. Syst.
Keywords
Field
DocType
side effect,alias analysis
Pointer (computer programming),Parameterized complexity,Mod,Programming language,Computer science,Pointer aliasing,Algorithm,Aliasing,Ranging,Alias analysis,Order of magnitude
Journal
Volume
Issue
ISSN
23
2
0164-0925
Citations 
PageRank 
References 
66
5.73
80
Authors
5
Name
Order
Citations
PageRank
B. G. Ryder12775275.92
William Landi2665.73
Phil Stocks326320.84
Sean Zhang410810.46
Rita Altucher5665.73