Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
166 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
42 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Correlating Effectiveness of Pointer Analysis Techniques with Patterns in Embedded System Code (2208.05675v1)

Published 11 Aug 2022 in cs.SE

Abstract: A pointer analysis maps the pointers in a program to the memory locations they point to. In this work, we study the effectiveness of the three flavors of pointer analysis namely flow sensitive, flow insensitive, and context sensitive analysis on seven embedded code sets used in the industry. We compare precision gain i.e., the reduction in the number of spurious memory locations pointed by a pointer in each of these settings. We found that in 90% of cases the pointer information was same in all three settings. In other cases, context sensitive analysis was 2.6% more precise than flow sensitive analysis which was 6.8% more precise than flow insensitive analysis on average. We correlate precision gain with coding patterns in the embedded systems-which we believe to be first of its kind activity.

Summary

We haven't generated a summary for this paper yet.