This project is a framework for generating randomised user input in iOS apps. This kind of monkey testing is useful for stress-testing apps and finding rare crashes.
It also contains a related framework called SwiftMonkeyPaws, which provides visualisation of the generated events. This greatly increases the usefulness of your randomised testing, as you can see what touches caused any crash you may encounter.
- When testing your UI, it's very easy to think about how to test how things should work, but do you struggle to figure out what kind of thing might not work?
- Ever showed your app to someone who proceeded to bang away at the screen and immediately crashed it by doing something you had never thought of?
- Do you want to feel a bit more confident about your app's stability?
- Do you have rare crashes that you just can't reproduce?
- Do you have memory leaks that take a long time to manifest themselves, and require lots of UI actions?
Randomised testing will help you with all of these!
SwiftMonkey is inspired by and has similar goals to UI AutoMonkey, but is integrated into the Xcode UI testing framework, providing better opportunities to debug.
Also, it is fun to look at:
To see for yourself how this framework works, just grab the code
and open SwiftMonkeyExample/SwiftMonkeyExample.xcodeproj. Then press Cmd-U to run the UI test.
As a high-level overview, add SwiftMonkey.framework to your
UI test target. Then add a test that creates a Monkey
object and uses it to generate events.
Optionally, you also add the SwiftMonkeyPaws.framework to your
main app, and create a MonkeyPaws object to enable visualisation.
You probably only want to do this for debug builds, or when a
specific command line flag is used.
SwiftMonkey uses Swift 4.0. It has no dependencies other than iOS itself (8.0 and up should work). SwiftMonkeyPaws doesn't have any dependencies, either; you can even use on its own, without SwiftMonkey.
You can install the frameworks using CocoaPods. Assuming
that you've named your main app and test targets "App" and "Tests", you
can use something like this in your Podfile:
target 'App' do
pod 'SwiftMonkeyPaws', '~> 2.1.0'
end
target 'Tests' do
pod 'SwiftMonkey', '~> 2.1.0'
endCopy the SwiftMonkey and SwiftMonkeyPaws folders into your
project. Next, drag the xcodeproj files into your project.
Then, for SwiftMonkey, add SwiftMonkey.framework as a
dependency for your test target, and add a Copy Files build
phase to copy it into Frameworks.
For SwiftMonkeyPaws, adding SwiftMonkeyPaws.framework to the
Embedded Binaries section of your app target is enough.
(You can also just directly link the Swift files, if you do not want to use frameworks.)
As of this writing, the Swift Package Manager doesn't support iOS projects. SPM package files have experimentally been created, but obviously don't really work yet.
To do monkey testing, import SwiftMonkey, then create a new
test case that uses the Monkey object to configure and run
the input event generation. Here is a simple example:
func testMonkey() {
let application = XCUIApplication()
// Initialise the monkey tester with the current device
// frame. Giving an explicit seed will make it generate
// the same sequence of events on each run, and leaving it
// out will generate a new sequence on each run.
let monkey = Monkey(frame: application.frame)
//let monkey = Monkey(seed: 123, frame: application.frame)
// Add actions for the monkey to perform. We just use a
// default set of actions for this, which is usually enough.
// Use either one of these but maybe not both.
// XCTest private actions seem to work better at the moment.
// before Xcode 10.1, you can use
// monkey.addDefaultXCTestPrivateActions()
// after Xcode 10.1 We can only use public API
monkey.addDefaultXCTestPublicActions()
// UIAutomation actions seem to work only on the simulator.
//monkey.addDefaultUIAutomationActions()
// Occasionally, use the regular XCTest functionality
// to check if an alert is shown, and click a random
// button on it.
monkey.addXCTestTapAlertAction(interval: 100, application: application)
// Run the monkey test indefinitely.
monkey.monkeyAround()
}The Monkey object allows you not only to add the built-in
event generators, but also any block of your
own to be executed either randomly or at set intervals. In
these blocks you can do whatever you want, including (but not
only) generate more input events.
Documentation for this is limited at the moment, so please
refer to Monkey.swift and its extensions for examples of
how to use the more advanced functionality if you need it.
The simplest way to enable the visualisation in your app is to
first import SwiftMonkeyPaws, then do the following somewhere
early on in your program execution:
var paws: MonkeyPaws?
func application(_ application: UIApplication, didFinishLaunchingWithOptions launchOptions: [UIApplicationLaunchOptionsKey: Any]?) -> Bool {
if CommandLine.arguments.contains("--MonkeyPaws") {
paws = MonkeyPaws(view: window!)
}
return true
}(This example uses application(_, didFinishLaunchingWithOptions),
but any time after you have a UIWindow will do. It also only
instatiates the visualisation if a certain command line flag
is passed, so that it can be enabled only for test runs.)
Using command line flags, If you want to enable MonkeyPaws on your test case file you can add the following on yout testMonkey function:
let application = XCUIApplication()
application.launchArguments = ["--MonkeyPaws"]This call will swizzle some methods in UIApplication to capture
UIEvents. If you would rather not do this, or if you already have
a source of UIEvents, you can pass the following option to init
to disable swizzling:
paws = MonkeyPaws(view: window!, tapUIApplication: false)Then you can pass in events with the following call:
paws?.append(event: event) // event is UIEventFeel free to file issues and send pull requests for this project! It is very new and not overly organised yet, so be bold and go ahead. We will sort out the details as we go along.
Code style is currently just four-space identation and regular Apple Swift formatting.
Also, we have adopted the Contributor Covenant as the code of conduct for this project:
http://contributor-covenant.org/version/1/4/
- The Zalando Open Source Guild for helping get this project off the ground.
- João Nunes for help with documentation.
- Jakub Mucha for bugfixing.
- Write more documentation.
- Add more input event actions.
- Add randomised testing using public XCTest APIs instead of private ones.
- Find clickable view and click them directly instead of clicking random locations, to compensate for the slow event generation.
- Fix swipe actions to avoid pulling out the top and bottom panels. (This can cause the monkey to escape from your app, which can be problematic!)
- Generally, find a quick way to see if the monkey manages to leave the application.
- Find out how to do device rotations using XCTest private API.
- Find out why UIAutomation actions do not work on device, but only on the simulator.
- Investigate other methods of generating input events that do not rely on private APIs.
- Once Swift Package Manager has iOS support, update project to support it properly.
- Add more customisability for the visualisation.
- Add more UI elements, views and controls to make the example look more interesting.
- Maybe add some actual crashes that the monkey testing can find?
This software was originally written by Dag Ågren ([email protected]) for Zalando SE. This email address serves as the main contact address for this project.
Bug reports and feature requests are more likely to be addressed if posted as issues here on GitHub.
The MIT License (MIT) Copyright © 2016 Zalando SE, https://tech.zalando.com
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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