Automation testing has become a critical component in ensuring the quality and reliability of application. As testing practices advance, professionals are often faced with the decision of whether to use testing frameworks or testing platforms. Understanding the differences between these two options is essential for making informed decisions that can optimise the testing process. Testing
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
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
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?
Automation testing is crucial for ensuring consistency, quality, efficiency and user satisfaction in your mobile apps and games. The purpose of automating your app testing extends beyond just identifying pre-release bugs – it allows you as a developer to maintain consistent performance across real devices, quickly adapt to iOS updates, and ensure platform testing for
Regression testing is an indispensable part of mobile app development. It ensures that updates and bug fixes don’t adversely affect existing functionality, important for maintaining app stability and a good user experience. Regression testing in a nutshell involves re-running tests on every build, to ensure that recent changes integrate well with the existing build and
Automation has long been vital to efficient mobile app and game testing strategies. However – it’s impossible to ignore particularly in the last few years how the infusion of AI has enhanced the capabilities of testing automation in several ways. Not only is this leading to much faster testing cycles but is also delivering far
While both cloud-based and on-premise testing both have their advantages and disadvantages, and in all likelihood you will be best served using a mixture of both, there is a debate that exists in the industry about which is better. Of course, cloud-testing is much more scalable, likely cheaper and in many situations it’s just easier,
Everyone is talking about AI at the moment and how we, as testers, can harness it to produce better testing development. We’re lucky here at T-Plan to have an adaptable and flexible tool which beautifully integrates with AI-Powered testing. In this blog we talk about AI-powered testing using our T-Plan software and how we utilise
Test-Driven Development (TDD) and Behaviour-Driven Development (BDD) are methodologies at the forefront of software testing, optimising the way developer’s approach coding to ensure more robust and reliable applications. Incorporating TDD and BDD into your development workflow can transform the quality and effectiveness of the software produced. This article aims to provide an in-depth comparison of
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