Active learning of discriminative subgraph patterns for API misuse detection

Active learning of discriminative subgraph patterns for API misuse detection

A common cause of bugs and vulnerabilities are the violations of usage constraints associated with Application Programming Interfaces (APIs). API misuses are common in software projects, and while there have been techniques proposed to detect such misuses, studies have shown that they fail to reliab...

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Bibliographic Details
Main Authors: KANG, Hong Jin, LO, David
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
Subjects:
API-Misuse Detection
Discriminative Subgraph Mining
Graph Classification
Active Learning
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/7635
https://ink.library.smu.edu.sg/context/sis_research/article/8638/viewcontent/2204.09945.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/7635
https://ink.library.smu.edu.sg/context/sis_research/article/8638/viewcontent/2204.09945.pdf

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