At Ghost Inspector, we are passionate about empowering our users with testing solutions that ensure everything on your website or app works and looks the way it should. Our Command Line Interface (CLI) is one of those solutions, allowing you to simplify the process of scripting interactions with the Ghost Inspector API.
Hyperautomation is more than a buzzword. It’s the new gold standard for business processes. And to get your organization’s leadership on board, you need to be able to explain why. According to experts at Gartner, "by 2024, hyperautomation functionality will be the dominant competitive differentiator among low-code development tools." This change is raising the bar for basic tech stack expectations, breaking old rules, and opening up a world of exciting possibilities.
We don't need to tell you that test automation will increase quality and save your software development company time and money spent on doing manual regression testing. It's known that many businesses begin at the user interface layer, which has the lowest ROI (return in investment) and perform automated tests that take a fraction of time by running regression tests with each build, rather than investing weeks near the end of the development cycle.
Front-end testing is a form of black box software testing in that it requires no behind-the-scenes understanding of how a software application works. It’s solely concerned with evaluating the user experience of an app. A front-end test is only effective if it tests both the functionality and visual appearance of an app, where “appearance” includes things like the layout of a page and the size, shape, color, and legibility of visual elements like buttons, form fields, and text.
Intelligent process automation (IPA) isn’t for everyone. Let me explain. Intelligent process automation is meant for large-scale digital transformations. So if you're looking to make small changes at the margins, like automating simple tasks, IPA probably isn't for you. IPA is better suited to large organizations with lots of data that want to streamline complex, enterprise-wide processes—to digitally transform their workflows, top to bottom.
