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Towards Practical Record and Replay for Mobile Applications

Authors:

Hariharan Mathavan,

Manuel EgeleAuthors Info & Claims

DAC '19: Proceedings of the 56th Annual Design Automation Conference 2019

Article No.: 230, Pages 1 - 2

https://doi.org/10.1145/3316781.3322476

Published: 02 June 2019 Publication History

Abstract

The ability to repeat the execution of a program is a fundamental requirement in evaluating computer systems and apps. Reproducing executions of mobile apps has proven difficult under real-life scenarios due to different sources of external inputs and interactive nature of the apps. We present a new practical record/replay framework for Android, RandR, which handles multiple sources of input and provides cross-device replay capabilities through a dynamic instrumentation approach. We demonstrate the feasibility of RandR by recording and replaying a set of real-world apps.

References

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Andhook. https://github.com/asLody/AndHook.

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Android ui automator. https://developer.android.com/training/testing/ui-automator.

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Emma. http://emma.sourceforge.net.

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Espresso. https://developer.android.com/training/testing/espresso/.

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Yahfa. https://github.com/rk700/YAHFA.

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T. Azim and I. Neamtiu. Targeted and depth-first exploration for systematic testing of android apps. In OOPSLA, 2013.

Digital Library

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M. Fazzini, E. N. D. A. Freitas, S. R. Choudhary, and A. Orso. Barista: A technique for recording, encoding, and running platform independent android tests. In ICST, 2017.

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L. Gomez, I. Neamtiu, T. Azim, and T. Millstein. Reran: Timing- and touch-sensitive record and replay for android. In ICSE, 2013.

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M. Halpern, Y. Zhu, R. Peri, and V. Janapa Reddi. Mosaic: cross-platform user-interaction record and replay for the fragmented android ecosystem. In ISPASS, 2015.

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Cited By

Di Martino SFasolino AStarace LTramontana P(2020)Comparing the effectiveness of capture and replay against automatic input generation for Android graphical user interface testingSoftware Testing, Verification and Reliability10.1002/stvr.175431:3Online publication date: 16-Oct-2020
https://doi.org/10.1002/stvr.1754

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Published In

cover image ACM Conferences

DAC '19: Proceedings of the 56th Annual Design Automation Conference 2019

June 2019

1378 pages

ISBN:9781450367257

DOI:10.1145/3316781

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGDA: ACM Special Interest Group on Design Automation
IEEE-CEDA

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SIGBED: ACM Special Interest Group on Embedded Systems

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 June 2019

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DAC '19

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SIGDA

DAC '19: The 56th Annual Design Automation Conference 2019

June 2 - 6, 2019

NV, Las Vegas, USA

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Overall Acceptance Rate 1,770 of 5,499 submissions, 32%

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DAC '25

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62nd ACM/IEEE Design Automation Conference

June 22 - 26, 2025

San Francisco , CA , USA

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Cited By

Di Martino SFasolino AStarace LTramontana P(2020)Comparing the effectiveness of capture and replay against automatic input generation for Android graphical user interface testingSoftware Testing, Verification and Reliability10.1002/stvr.175431:3Online publication date: 16-Oct-2020
https://doi.org/10.1002/stvr.1754

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