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Cheetah: Just-in-Time Taint Analysis for Android Apps

Nguyen Quang Do, Lisa ; Ali, Karim ; Livshits, Benjamin ; Bodden, Eric ; Smith, Justin ; Murphy-Hill, Emerson (2017):
Cheetah: Just-in-Time Taint Analysis for Android Apps.
In: 2017 IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C), pp. 39-42,
Curran Associates, Inc., Buenos Aires, Argentina, ISBN 978-1-5386-1589-8,
DOI: 10.1109/ICSE-C.2017.20,
[Conference or Workshop Item]

Abstract

Current static-analysis tools are often long-running, which causes them to be sidelined into nightly build checks. As a result, developers rarely use such tools to detect bugs when writing code, because they disrupt their workflow. In this paper, we present Cheetah, a static taint analysis tool for Android apps that interleaves bug fixing and code development in the Eclipse integrated development environment. Cheetah is based on the novel concept of Just-in-Time static analysis that discovers and reports the most relevant results to the developer fast, and computes the more complex results incrementally later. Unlike traditional batch-style static-analysis tools, Cheetah causes minimal disruption to the developer's workflow. This video demo showcases the main features of Cheetah: https://www.youtube.com/watch?v=i_KQD-GTBdA.

Item Type: Conference or Workshop Item
Erschienen: 2017
Creators: Nguyen Quang Do, Lisa ; Ali, Karim ; Livshits, Benjamin ; Bodden, Eric ; Smith, Justin ; Murphy-Hill, Emerson
Title: Cheetah: Just-in-Time Taint Analysis for Android Apps
Language: German
Abstract:

Current static-analysis tools are often long-running, which causes them to be sidelined into nightly build checks. As a result, developers rarely use such tools to detect bugs when writing code, because they disrupt their workflow. In this paper, we present Cheetah, a static taint analysis tool for Android apps that interleaves bug fixing and code development in the Eclipse integrated development environment. Cheetah is based on the novel concept of Just-in-Time static analysis that discovers and reports the most relevant results to the developer fast, and computes the more complex results incrementally later. Unlike traditional batch-style static-analysis tools, Cheetah causes minimal disruption to the developer's workflow. This video demo showcases the main features of Cheetah: https://www.youtube.com/watch?v=i_KQD-GTBdA.

Book Title: 2017 IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C)
Issue Number: 39
Publisher: Curran Associates, Inc.
ISBN: 978-1-5386-1589-8
Divisions: Profile Areas
Profile Areas > Cybersecurity (CYSEC)
Event Location: Buenos Aires, Argentina
Date Deposited: 07 Aug 2017 15:42
DOI: 10.1109/ICSE-C.2017.20
Identification Number: TUD-CS-2017-0220
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