Test automation on the other hand is the automated execution of predefined tests. A test in that context is a sequence of predefined actions interspersed with evaluations, that James Bach calls checks. These checks are manually defined algorithmic decision rules that are evaluated on specific and predefined observation points of a software product. And herein lies the problem. If, for instance, you define an automated test of a website, you might define a check that ascertains a specific text (e.g. the headline) is shown on that website. When executing that test, this is exactly what is checked—and only this. So if your website looks like shown in the picture, your test still passes, making you think everything is ok.
Yet we’re increasing delegating key quality assurance (QA) tasks to robots. The market for automated testing products is expected to be worth $20 billion by 2023 – three times as much as now. The ever-increasing complexity of software programmes, which have grown from a rudimentary series of command lines to a potentially infinite number of variables, have forced us to seek help from artificial intelligence. What’s more, the growing influence of agile and DevOps means we’re in a permanent sprint, and we need to speed up the QA process wherever we can.
FreshBooks is also cloud-based and it integrates very well with iOS and Android phones and tablets. You still get all its key features when you’re not at your desk, including the ability to track your time by project, invoice customers or clients and manage expenses. Invoices are custom-designed and FreshBooks will even let you accept credit card payments online. Customer support is said to be top-notch.