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https://github.com/alexmx/Combinations
A blazingly fast runtime test generator suited for boundary testing.
https://github.com/alexmx/Combinations
brute-force ios testing ui-testing unit-testing xctest
Last synced: 4 days ago
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A blazingly fast runtime test generator suited for boundary testing.
- Host: GitHub
- URL: https://github.com/alexmx/Combinations
- Owner: alexmx
- License: mit
- Archived: true
- Created: 2016-06-14T11:03:08.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-10-11T09:31:54.000Z (about 7 years ago)
- Last Synced: 2024-04-23T23:54:30.014Z (7 months ago)
- Topics: brute-force, ios, testing, ui-testing, unit-testing, xctest
- Language: Swift
- Homepage: http://alexmx.github.io/Combinations
- Size: 4.92 MB
- Stars: 9
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-blazingly-fast - Combinations - A blazingly fast runtime test generator suited for boundary testing. (Swift)
README
# Combinations
[](https://twitter.com/amaimescu)
[](https://github.com/alexmx/ios-ui-automation-overview/blob/master/LICENSE)
**Combinations** is an iOS testing utility framework suited for fast **boundary testing**.
> **Boundary testing** or **boundary value analysis**, is where test cases are generated using the extremes of the input domain, e.g. maximum, minimum, just inside/outside boundaries, typical values, and error values. It is similar to Equivalence Partitioning but focuses on "corner cases".
The framework does just two simple things:
1. Generate a set of combinations from test data input set;
2. Generate a run-time unit or UI test for each of the combinations;
Check out the [API reference](http://alexmx.github.io/Combinations/) for more information.
#### Simple example:
We have an input form with four fields: `First Name`, `Email`, `Password` and `Gender`.
We also have our testing boundary values defined for each field:
* First Name: `John Smith`, `empty string`
* Email: `[email protected]`, `john.smith@`, `empty string`
* Password: `12345`, `~@#123ABC`, `empty string`
* Gender: `Male`, `Female`
**Combinations** gets a set of input test data values and transforms it in **run-time tests for each generated combination of values**.
So for our example the combinations will be:
* [`John Smith`, `[email protected]`, `12345`, `Male`]
* [`John Smith`, `[email protected]`, `12345`, `Female`]
* [`John Smith`, `[email protected]`, `~@#123ABC`, `Male`]
* [`John Smith`, `[email protected]`, `~@#123ABC`, `Female`]
* etc.
For each of this combinations will be generated a test (`XCTestCase`)
A running example of the UI Tests generated by Combinations:
## Installation
#### Carthage
If you are using **Carthage**, you can always use it to build the library within your workspace by adding the line below to your `Cartfile`.
```
github "alexmx/Combinations"
```
#### CocoaPods
If you are using **CocoaPods**, you can as well use it to integrate the library by adding the following lines to your `Podfile`.
```ruby
platform :ios, '8.0'
use_frameworks!
target 'YourAppTarget' do
pod "Combinations"
end
```
#### Manual installation
In order to include the **Combinations** library into your project, you need to build a dynamic framework from provided source code and include it into your project, or inlcude the entire **Combinations** library as sub-project by copying it to your project directory or include as Git submodule.
## Usage
The library requires just two methods to be overriden: `valuesForCombinations` and `assertCombination:`
```swift
import XCTest
import Combinations
class MyTests: CombinationsSpec {
override func setUp() {
super.setUp()
}
// Provide input values for Combinations
override class func valuesForCombinations() -> [[Any]]? {
return [
[1, 2, 3, 4],
["John Smith", "John", ""]
]
}
// This method will be called for each generated combination:
// [1, "John Smith"], [1, "John"], [1, ""], [2, "John Smith"], etc.
override func assertCombination(_ combination: [Any]) {
// Perform required asserts on combination
}
}
```
## License
This project is licensed under the terms of the MIT license. See the LICENSE file.