Implementing quality engineering in an agile environment is no more feasible with legacy testing approaches. It needs to take a quantum leap forward– a holistic change across multiple levels to strike the right balance between application quality and time-to-market. Aspire’s Quality Engineering Experts, leveraging their collective years of experience of working on agile software testing projects for global businesses, have come up with Hyper-Testing, an Artificial Intelligence (AI)-enabled quality engineering solution to meet the following the modern agile testing challenges.
What is Hyper-Testing?
Hyper-Testing is an agile and unified approach towards designing and executing an agile test strategy that covers end to end testing of all application layers as well as the non-functional requirements by leveraging the best of breed tools resulting in lower TCO and higher ROI.
Hyper-Testing integrates 3 key dimensions covering a host of processes, practices, tools and reusable assets to drive agile automation testing at greater speed and reduced cost. It includes:
Conventional testing approaches take a unilateral view of verifying the application whereas Hyper-Testing is an agile software testing approach that takes a holistic view of testing every piece of application/software and identifies all the possible areas that can have a direct/indirect influence on end customer experience. Following are the key benefits of our agile testing services:
Hyper-Testing Redefines Test Automation using AI
AI led test automation results in greater improvement of the testing team’s productivity. This can be achieved through reasoning, problem solving, and machine learning based on the repetitive patterns to identify and rectify issues immediately.
Automating testing process using Artificial Intelligence (AI) becomes successful only when test automation frameworks are used as they ensure faster time to market and reduced QA costs. The impacts of implementing AI-led agile testing services are:
At Aspire, our Automation Experts have developed two automation testing frameworks that are AI-based, AFTA (Aspire Framework for Test Automation), for cross-browser, cross-platform mobile testing and DCqaf (Digital Commerce quality automation framework) for addressing the challenges in POS testing and e-commerce testing. The tools are optimum, homegrown selenium-based frameworks that involves AI components to ensure continuous testing for continuous delivery
Some of the key benefits these frameworks bring to table are: