QA: Automated/Manual
To deliver against the highest standards in software quality, we integrate the latest in AI, Test Automation, and Security advances to detect issues early, improve test quality coverage, and deliver flawless user experiences.
Why Previse
Quality Assurance (QA) is a critical aspect of any IT project, and Previse’s iterative QA management services ensure that the final deliverables meet the highest standards of quality, including ISO 25010 and CMMI standards where required. Our approach is to bring the right mix of human ingenuity and advanced automated testing capabilities to every project with the ultimate goals of reducing time to market and detecting and resolving defects early and often in the development lifecycle. Our QA teams have significant collective experience in implementing QA best practices throughout the CI/CD pipeline effort. We employ proven manual testing techniques where complex and subjective testing is required while heavily investing in and leveraging automated AI and ML based testing techniques to optimize for speed, coverage, and when highly iterative improvements are required.
Key Features
Agile Driven Approach
Participation in Agile/SAFe methodologies like sprint planning, stand-ups, and retrospectives so that QA teams stay aligned with development goals and anticipate changes early.
Advanced Test Automation
Develop and deploy sophisticated test automation frameworks and tools to facilitate continuous integration continuous delivery (CI/CD), and rapidly identify defects while maintaining high release velocity.
Continuous Testing and Feedback
Emphasize continuous testing throughout the development lifecycle so that quality is built in from the start rather than tested at the end. This includes practices like standardized test case and scenario creation, automated regression testing, CI/CD pipeline planning, and real-time feedback loops.
Human Centric Design (HCD) in QA
Continue to create and leverage automated and AI testing tools that provide greater test coverage and interaction between users and developers to deliver the most seamless and naturally engaging end-user experiences possible.
Success Metrics
Improved Defect Detection
Enhanced accuracy in detecting and resolving defects early in the development process and measuring the number of defects found in a software module relative to its size (defect density) to assess overall code quality.
Mean Time To Detect (MTTD)
Measure the average time to detect defects from the moment they actually occur. This metric evaluates the efficiency of defect detection processes (manual or automated) and the responsiveness of our QA team.
Customer Satisfaction
Measure the satisfaction of end-users with the quality of the software with regular surveys, and analyze the feedback to help identify areas for improvement and better align QA efforts with customer expectations.
What Our Clients Say
“Previse has brought a unique blended approach to automated and manual QA that has improved our overall code quality and end-user satisfaction levels, each by over 30% in just the last 12 months”
