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IEEE Software
Article . 2019 . Peer-reviewed
License: IEEE Copyright
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Toward Analysis and Bug Finding in JavaScript Web Applications in the Wild

descriptionPublicationkeyboard_double_arrow_right Article 01 May 2019Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Software, volume 36, pages 74-82 (issn: 0740-7459, eissn: 1937-4194, Copyright policy )
Authors: Sukyoung Ryu; Jihyeok Park; Joonyoung Park;

doi: 10.1109/ms.2018.110113408

Toward Analysis and Bug Finding in JavaScript Web Applications in the Wild

Abstract

We present our journey to analyze and find bugs in JavaScript web applications in the wild. We describe technical challenges in analyzing them and our solutions to address the challenges via a series of open source analysis frameworks, the scalable analysis framework for ECMAScript (SAFE) family.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Average
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