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
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?
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,
Building vs buying your test automation tools is a strategic decision that will impact every phase of your app’s development and product lifecycle. There are several different frameworks and services available on the market – some you pay for, and some you don’t. There’s a certain allure of the tailored specificity and control you get
In every QA tester’s workflow process, visually testing the user experience is fundamental to ensuring the accuracy of the user journey. The process of manually verifying each visual aspect of an application can be time-consuming and prone to human error. However, with the power of AI, this process has been significantly streamlined with T-Plan’s software—integrating
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
Let’s be honest, making sure that systems behave just like users expect is important in any industry. That’s where behavioral pattern analysis comes in! It’s all about checking out how software behaves in different situations to catch any weird stuff that might happen. At T-Plan, we’re all about helping Quality Assurance (QA) testers do this in
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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