Aplib is a C# library that allows you to create automated playtests for your games with ease. Automated playtests will streamline your game development process and allow you to focus on the aspects of your game that matter. Whether you're new to automated testing, or a software testing veteran, we've got you covered.
Aplib offers a robust framework for programming automated playtesting agents, based on the Belief-Desire-Intention (BDI) model. Don't worry about the jargon; it's easier than it sounds!
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We offer additional support for Unity! Check out our Unity Package!
Game developers — indie and non-indie — rely on manual playtesting to identify bugs, find design flaws, and improve player experience. Manual playtesting proves to be incredibly useful in game development, but it poses a few problems. Game developers report that manual playtesting is time-consuming, find it difficult to recruit playtesters, and are inhibited by the effort required to create a testable build of their game. Additionally, discovered bugs are hard to track down and debug due to the inconsistent nature of manual playtesting. ''So why don't developers automate their playtests? That would solve all of these issues, right?'' Right! By automating your playtests, you get more consistent playtests with less effort, and reduce your dependency on human playtesters. You can even integrate your automated playtests into your CI/CD pipeline!
Aplib is available as a NuGet package, and as a simple DLL file that can then be added as a reference. Both can be found on our GitHub Releases page. If you're using Unity, you can install aplib as a Unity Package. The Unity Package and detailed installation instructions can be found here.
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An easier way of installing is also provided using the NuGet Gallery at NuGet.org, which can be found here.
Check out our Quickstart Guide for using aplib in your Unity project!
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Our Quickstart Guide for using aplib in Unity is also useful for learning aplib in general!
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You can see aplib in action in our demo project. You can find the demo project in this repository.
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Documentation is automatically generated using DocFX and can be found here.
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This project is open source! The contribution guidelines can be found here.
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We provide code analysis metrics using SonarCloud, which can be found here. It provides information on metrics such as code coverage, code smells, and technical debt.
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The project is provided under the GNU Affero General Public License, which can be found here.
