Client-Driven Pointer Analysis

نویسندگان

  • Samuel Z. Guyer
  • Calvin Lin
چکیده

This paper presents a new client-driven pointer analysis algorithm that automatically adjusts its precision in response to the needs of client analyses. We evaluate our algorithm on 18 real C programs, using five significant error detection problems as clients. We compare the accuracy and performance of our algorithm against several commonly-used fixed-precision algorithms. We find that the client-driven approach effectively balances cost and precision, often producing results as accurate as fixed-precision algorithms that are many times more costly. Our algorithm works because many client problems only need a small amount of extra precision applied to the right places in each input program.

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تاریخ انتشار 2003