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 |
PPN: | |
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