Software Engineering Empirical Research Radar

Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation.

Paper detail page in SEER Radar.

Authors

Chao Ni 0001, Xin Yin, Kaiwen Yang, Dehai Zhao, Zhenchang Xing, Xin Xia 0001

Venue / Year

FSE 2023

Topics

Other

Abstract / Summary

Summary pending. This page currently provides paper metadata; an abstract or short summary will be added when available.

External Links

DOI / Publisher

PDF

Local PDF is not available on SEER Radar yet. When a public source is recorded, this page will add a local reading link with source attribution.