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Fastbot is developed based on Google Monkey, combining machine learning and reinforcement learning tools to serve as a stability-targeted testing tool.

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Fastbot-Android Open Source Handbook

Introduction

Fastbot is developed based on Google Monkey, combining machine learning and reinforcement learning tools to serve as a stability-targeted testing tool. https://github.com/bytedance/Fastbot_Android

Features

  • Fastbot is compatible with multiple Android OS systems, including original Android, Android 5-11 and a variation of modified Andriod-based system by domestic manufacturers.
  • Inherited from original Monkey, Fastbot allows for fast action insertion as high as 12 actions per second.
  • Expert system is equipped with the ability to customize deeply based on needs from different business lines.
  • Fastbot is a model-based-testing tool. Model is build via graph transition with the consideration of high reward choice selection.
  • Fastbot supports non-standard widgets by computer vision techniques such as YOLOv3, ocr and cv segmentation.

Fastbot-ios: Under construction

Usage

Environment preparation

  • Make Android version on your device or emulator is Android 5, 6, 7, 8, 9, 10, 11
  • Push framework.jar and monkeyq.jar into your device, most likely /sdcard
adb push framework.jar /sdcard
adb push monkeyq.jar /sdcard

Run Fastbot with shell command

adb -s device_vendor_id shell CLASSPATH=/sdcard/monkeyq.jar:/sdcard/framework.jar exec app_process /system/bin com.android.commands.monkey.Monkey -p package_name --agent robot --running-minutes duration(min) --throttle delay(ms) -v -v

required parameters

-s device_vendor_id # if multiple devices allowed, this parameter is needed; otherwise just optional
-p package_name # app package name under test
--agent robot # strategy selected for testing, no need to modify
--running-minutes duration # total amount time for testing
--throttle delay # time lag between actions

optional parameters

--bugreport # log printed when crash occurs
--output-directory /sdcard/xxx # folder for output directory

Results Explanation

Observed crash and ANR

  • Observed Java crash, ANR and native crash will be written in to /sdcard/crash-dump.log
  • Observed ANR will be written into /sdcard/oom-traces.log

Activity coverage data

  • Total activity list will be printed in shell after Fastbot job done, together with explored activity list and rate of coverage in this job run.
  • Equation for total activity coverage: coverage = exploredActivity / totalActivity * 100%
  • Be aware for totalActivity: The list totalActivity is acquired through framework interface PackageManager.getPackageInfo. Contained activities in the list includes many abandoned, invisible or not-reachable activities.

For more Details, please refer to the handbook in Chinese version

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Fastbot is developed based on Google Monkey, combining machine learning and reinforcement learning tools to serve as a stability-targeted testing tool.

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