An Agile Test Automation Approach for Quality Engineering

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.

Continuous Need to Exceed Customer Expectations
Increased Need for Unprecedented Speed to Market
High Technical Complexities of Applications/Products

What is Hyper-Testing?

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.

What Hyper-Testing Offers?

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:

Functional

Application
UI
Microservices
Mobile

Tools and Processes

Cloud-based Automation
AFTA – Best of Breed Tools
Continuous Testing
DevOps Testing

Non-Functional

Performance
Security
Load
Multi-Platforms

Benefits of Hyper-Testing

Hyper-Testing is an agile software testing approach which takes a holistic view of testing every layer of application/software identifying all possible areas that influence customer experience. The key benefits of our agile testing services are:

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

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:

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

AI-Powered Framework

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: