SwiftMonkey: Random UI testing framework for iOS apps

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.

Why Use SwiftMonkey?

• 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.

Quick Start

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.

Installation

Requirements

SwiftMonkey uses Swift 3.0. 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.

CocoaPods

Target "App" do pod "SwiftMonkeyPaws", "~> 1.0" End target "Tests" do pod "SwiftMonkey", "~> 1.0" endCopy the code

Manual Installation

Copy 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.)

Swift Package Manager

Usage

SwiftMonkey

TestMonkey () {let application = XCUIApplication() updated // when you initially call app.frame, resulting in a zero-sized rect. // Doing a random query seems to update everything properly. // TODO: Remove this when the Xcode bug is fixed! _ = application.descendants(matching: .any).element(boundBy: 0).frame // 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. // UIAutomation actions seem to work only on the simulator. monkey.addDefaultXCTestPrivateActions() //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() }Copy the code

SwiftMonkeyPaws

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
}Copy the code

(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.)

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)Copy the code

Then you can pass in events with the following call:

paws? .append(event: event) // event is UIEventCopy the code

Contributing

Thanks to

• The Zalando Open Source Guild for helping get this project off the ground.
• João Nunes for help with documentation.
• Jakub Mucha for bugfixing.

TODO

SwiftMonkey

• 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.

SwiftMonkeyPaws

SwiftMonkeyExample

• 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?

Contact

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.

License

The MIT License (MIT) Copyright © 2016 Zalando SE, tech.zalando.com