Detecting false alarms from automatic static analysis tools: how far are we?

Detecting false alarms from automatic static analysis tools: how far are we?

Automatic static analysis tools (ASATs), such as Findbugs, have a high false alarm rate. The large number of false alarms produced poses a barrier to adoption. Researchers have proposed the use of machine learning to prune false alarms and present only actionable warnings to developers. The state-of...

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Bibliographic Details
Main Authors: KANG, Hong Jin, AW, Khai Loong, LO, David
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
Subjects:
Static analysis
False alarms
Data leakage
Data duplication
Databases and Information Systems
Online Access:https://ink.library.smu.edu.sg/sis_research/7686
https://ink.library.smu.edu.sg/context/sis_research/article/8689/viewcontent/detecting.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/7686
https://ink.library.smu.edu.sg/context/sis_research/article/8689/viewcontent/detecting.pdf

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