Quality Engineering

Quality being first choice of our clients! Its just not-negotiable at all. The biggest problem for our client are facing is – How much testing is required? To be sure about the quality we are looking to deliver. What are the metrices we need to follow to guarantee customer delight? How much automation? Tools? Are few to name here.

We provide our expert strategy to tackle Quality issue – Automated Vs Manual test set ratio, Code coverage, faster deployment of target test setups, shift-left approach for bug detection and reporting, sanity checks, regression test suite etc. Creating a metrics of test reports on daily basis and number of runs each test case have gone through are key to have confidence on product. As Quality/Testing is never ending activity – we can keep polishing boots to shine, but expertise to get the threshold point during the phase of quality checks are important.

We help clients to clearly define the Quality criteria for the products to they don’t overshoot or under fall testing cycle. These insights helps to cut the waste right on time and increase shipment cycle to customers with predictable outcomes of product at the customer site. We choose right testing tools for – Web application, black-box and white box testing.

Our Quality Engineering offerings

AI/ML enabled testing

> Intelligent test case selection based on AI/ML pattern detection

> Feature/defect based dynamic regression test suite call

> Auto-Log collection and defect logging

Test Setup Management

> Setup Inventory management

> Auto-setup-creation and Auto-setup-cleanup

> Centralized Setup Monitoring

Data Driven Testing

> Intelligent data set creation for test scenarios

> Boundary, Positive and Negative Data Sets

> Unit and Mock test suite for faster test cycles

Test Management & Reporting

> Centralized Test execution window

> Test report dashboard and notification

> Per suite level and overall nightly build sanity reports

Our leading industry partners

Coming Soon!

“Quality is the best Branding, We can make it Engineering Methodology rather than Art”

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