Quality engineering is the gold standard that agile software testing teams wish to keep adhering to. Even experienced testers can find this tough if legacy testing methods are in place. A holistic transformation using latest tools is necessary to meet address business demands of application quality and time-to-market. Hyper-Testing is an AI-enabled test automation solution built by Aspire’s Quality Engineering experts for global businesses to address the modern agile testing challenges.
Continuous Need to Exceed Customer Expectations
Increased Need for Unprecedented Speed to Market
High Technical Complexities of Applications / Products
Hyper-Testing is an agile software testing approach for designing and executing a test automation strategy to cover end-to-end testing of all application layers and non-functional testing requirements. It leverages the latest tools to achieve 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:
Tools & Processes
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.
360˚ view of the application being tested
Seamless co-ordination between distributed teams
Access to comprehensive QA dashboard/metrics
Shortened testing feedback cycle time by 40%
Access to 1000+ devices/platforms in the cloud
Slashed CoQ by 30%
High ROI within 6 months
AI led test automation has a direct bearing in the improvement of the testing team’s productivity. This can be achieved through reasoning, problem solving, and machine learning using 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:
Self-healing scripts to identify changes in the application
Analysis of the test automation results
Defect Analytics on the severity of the bugs
Auto Update of defects in defect tracking tool
Build Analytics on the previous runs
Live Streaming of the test results with Intelligence
Aspire’s automation experts have developed two automation testing frameworks that are AI-based: AFTA 4.0 (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 and homegrown selenium-based frameworks that involves AI components to ensure continuous testing for continuous delivery.
Supports end-to-end testing
Provides real-time analytics
Facilitates Continuous Integration
Integrates to SOAP UI, Jmeter, OWASP ZAP
Reuse automation scripts
Integrate for web, mobile testing & parallel cross browser testing
Reduce automation effort by 40%