Quality Engineering
Quality Engineering
In today’s competitive landscape, organisations expect to bring more ambitious technical outcomes at better efficiency. We can help you accomplish these areas by “shifting quality to the left”, optimising your lifecycle to improve outcomes, accelerate speed, and decrease cost in delivery.
Quality at Swipe7 IT Solutions initiates before a line of code is written. The original objective of our Quality service delivery platform is to allow quick releases and predictability, avoid extreme cost and risk of receiving it wrong! We offer AI-powered, Lean-driven software excellence engineering automation, process design, resources, and governance to reject waste and improve efficiencies.
We offer quality governance led by Industry QE leaders augmented by agile credit score and technology-centric platform for software quality analytics, software quality intelligence & enterprise-wide software quality control. Our community of T-shaped Quality. Swipe7 engineers practice continuous learning of AI-powered, Lean QE skills with their colleagues across organization-wide projects at our experimentation lab infrastructure. This allows them to implement things they learned at their project and share them with their project team for day-to-day continuous development efforts.
At Swipe7 IT Solutions, we provide ‘Product Quality and Risk Advisory consulting’ to work with our clients to co-create quality engineering transformational roadmaps in a step wise manner. Our next-gen ADM services and testing services is operationalised by our matured best-in-class excellence assessment model and hyper-automated capability solutions to step change development in quality engineering. Our 60+ solution accelerators and incubators enable continuous improvement in automation engineering, business assurance testing, enterprise and product testing, AI and ML infused testing with faster speed.
The developments are governed by agile credit score for measuring team maturity. Our 50+ AI, machine learning and RPA use cases are the intensive investments to bring quality intelligence and engineering efficiency in Agile and DevOps. During the past few years, we have applied AI, machine learning and RPA with lean in test automation, expecting test quality, prioritizing test cases, classifying defects, scientific risk-based test execution & end-to-end software quality governance.