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Mobile Game Test Automation
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AI and Machine Learning in Game Development

Artificial Intelligence (AI) and Machine Learning (ML) have become pivotal technologies in the game development space, transforming how games are developed, played and experienced. These technologies enhance everything from the behaviour of non-player characters (NPCs) to the personalisation of player experiences, making them integral to modern game development. The potential for AI and ML to

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UX UI, Mobile app user interface designs, digital software technology development concept. Planning application process development prototype wireframe for mobile phone. User experience. generative AI.
Guides

The Ultimate Guide to Android Automation Testing

Quality and reliability are crucial to mobile game development, and the only way quality and reliability are achieved is through extensive automated testing. This practice helps development teams to speed up their testing processes, maintain consistency, and scale their efforts efficiently across a vast array of devices and platforms. Automated Android testing significantly accelerates the

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Coworkers running data center hardware diagnostic tests to determine and service software issues. Servicemen using laptop and tablet to fix critical systems, checking for blips
Guides

Continuous Integration Testing for Game Development

A successful mobile game is rarely developed by one person. Whether you’re an indie studio with less than 5 people, or a AAA studio with hundreds, there’s a common challenge when trying to develop a game  – how on earth do you deal with code being written by multiple developers, often multiple times a day?

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  • No code access required
  • Visual UI testing tool
  • iOS and Mac compatible
  • All platforms supported
  • Mimics real time user experience
  • Record and playback function
  • Award winning support