Despite much progress in the testing framework space, creating automated tests can still require a significant amount of prerequisite coding knowledge. Automated testing solutions, particularly those based in the cloud, offer unique opportunities for teams across an organization — including developers, testers, and non-technical stakeholders. By abstracting large parts of the intricacies involved in automated test creation, each of these roles can align their approach specific to their skillset and needs.
Dive into the fundamentals of cloud-based test automation with this Refcard focused on advantages, considerations, and prominent tools: from code-based solutions to those offering low-code functionality and advanced capabilities like intelligent test automation.
The Software Development Life Cycle, or SDLC, is the process of planning, designing, developing, testing, and deploying high-quality software at the lowest cost possible, preferably in the shortest amount of time. To achieve this goal, software engineering teams must choose the correct software development model to fit their organization’s requirements, stakeholders’ expectations, and the project. There are a myriad software development models, each with distinct advantages and disadvantages.
Details of the project, including timeframe and budget, should influence your choice of model. The goal is to select a software development model that will ensure project success. Selecting the incorrect model will result in drawn out timelines, exceeded budgets, low quality outputs, and even project failure.
Granny now wants us to help her make a list of all the guests attending the party. She could use pen and paper, but her grandson is a programmer and she wants a Vue app.
In this tutorial, we’ll accept user input (information about a guest) and display it in the list, similar to when we displayed the list of groceries. However, today we’ll use the v-model directive to create two-way data bindings on the form input.
