Code Monkey home page Code Monkey logo

evolutiz's Introduction

Evolutiz

Environment Configration

  • Python: 2.7

  • Android SDK: API 19

  • Linux: sudo apt-get install libfreetype6-dev libxml2-dev libxslt1-dev python-dev

  • Mac OS: brew install coreutils for gtimeout

Install Python dependencies:

sudo pip install -r requirements.txt

Usage

python main.py <apk_path | source_folder_path>

where apk_path is path to the subject apk under test
or you can specify source_folder_path for the subject app with source code

Subject Requirement:

  • instrumented apk should be compiled and named with suffix "-debug.apk"
  • closed-source/non-instrumented apk name should end with ".apk"

Settings

  • ANDROID_HOME and WORKING_DIR in settings.py should be set before starting Evolutiz.

Output

  • for open-sourced apps, outputs are stored under the given source folder
  • for closed-sourced apps, output are stored under <apk_file_path>_output

Output content:

/coverages - Coverage reports are stored here

/crashes - Crash reports and corresponding test cases that lead to the crashes 
(and also recorded videos files when using real devices)

/intermediate - Generated test event sequences for each generation; logbook of the genetic evolution; 
and line charts showing the variation trend for each objectives.

Notes

  • This implementation has been tested with Android 4.4, running on Ubuntu 14.04 and Mac OS 10.10
  • If measure statement coverage for open-sourced apps, the subjects need to be processed to support EMMA instrumentation: (Please refer to Dynodroid https://code.google.com/archive/p/dyno-droid/)
  • This version is ready for emulators. It also supports real devices, you may need to adapt related code for your specific devices.

Contact

iarcuschin at dc.uba.ar

evolutiz's People

Contributors

flyingpumba avatar rhapsod avatar

Stargazers

 avatar  avatar  avatar  avatar

Watchers

 avatar

Forkers

hxzhantds

evolutiz's Issues

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.