Nelson Bore, Ravi Kiran Raman, et al.
ICBC 2019
This paper describes an empirical comparison of the effectiveness of six context-insensitive pointer analysis algorithms that use varying degrees of flow-sensitivity. Four of the algorithms are flow-insensitive, one is flow-sensitive, and another is flow-insensitive, but uses precomputed flow-sensitive information. The effectiveness of each analysis is quantified in terms of compile-time efficiency and precision. Efficiency is reported by measuring CPU time and memory consumption of each analysis. Precision is reported by measuring the computed solutions at the program points where a pointer is dereferenced. The results of this paper will help implementors determine which pointer analysis is appropriate for their application.
Nelson Bore, Ravi Kiran Raman, et al.
ICBC 2019
Ravi Kiran Raman, Kush R. Varshney, et al.
ICASSP 2019
Prasad Kulkarni, Matthew Arnold, et al.
VEe 2007
Matthew Arnold, David Grove, et al.
IBM J. Res. Dev