AI Explainability 360: Impact and Design
Vijay Arya, Rachel K. E. Bellamy, et al.
IAAI 2022
We present practical approximation methods for computing and representing interprocedural aliases for a program written in a language that includes pointers, reference parameters, and recursion. We present the following contributions: (1) a framework for interprocedural pointer alias analysis that handles function pointers by constructing the program call graph while alias analysis is being performed; (2) a flow-sensitive interprocedural pointer alias analysis algorithm; (3) a flow-insensitive interprocedural pointer alias analysis algorithm; (4) a flow-insensitive interprocedural pointer alias analysis algorithm that incorporates kill information to improve precision; (5) empirical measurements of the efficiency and precision of the three interprocedural alias analysis algorithms.
Vijay Arya, Rachel K. E. Bellamy, et al.
IAAI 2022
Nelson Bore, Ravi Kiran Raman, et al.
ICBC 2019
Martin Hirzel, Johannes Henkel, et al.
ACM SIGPLAN Notices
Michael Burke, Jong-Deok Choi
ACM Letters on Programming Languages and Systems (LOPLAS)