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Quality Engineering

Our automated continuous testing approach amalgamates in-house IPs & partner products to enhance quality and drive speed.

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Home /Home /Services /Services /Quality Engineering Quality Engineering

Quality Engineering is all about building software that not only functions flawlessly but also stands resilient and secure, regardless of its complexity or environment.

Our QE Practice at Reflections comprehensively ensures quality across diverse platforms, from modern digital to legacy systems. We utilize tool-agnostic automation integrated throughout development, covering all testing aspects. Our wide-ranging expertise, including AI/ML and cloud, helps us deliver reliable software rapidly and enhance user experiences via Agile and DevOps.

End-to-End QE Strategy

Covers the entire Software Testing Life Cycle (STLC), from requirements analysis to deployment, ensuring quality at every stage.

Technology Coverage

Supports modern technologies (AI/ML, cloud platforms like AWS/Azure), legacy systems (mainframes), and data ecosystems (ETL, databases).

Data Testing

Validates data integrity, accuracy, and performance across ETL processes, data warehouses, and analytics platforms, ensuring reliable AI/ML and BI outcomes.

Performance Engineering

Optimizes application speed, scalability, and reliability under diverse loads, using tools like JMeter or LoadRunner.

Security Testing

Identifies vulnerabilities through penetration testing and compliance checks, ensuring data protection and regulatory adherence.

Agile & DevOps Integration

Aligns with Agile methodologies and CI/CD pipelines for continuous quality assurance.

Why Reflections

Domain-Agnostic

Applicable across industries (e.g., banking, manufacturing, ClimateTech), aligning with diverse needs of our clients.

Faster Time-to-Market

Our automation and data testing reduce cycles by 30–40%, accelerating deployments.

Enhanced Reliability

Performance, security, and data testing ensure 99.9% uptime and robust data pipelines.

Cost Efficiency

Optimized frameworks lower QA costs by 20–25%.

Our Accelerators

R-Smart: Test Automation framework with Playwright

Built on Playwright, Reflections Automation Framework enables API, web, and mobile testing for diverse applications, integrating with Jira for defect and test management. It supports cross-browser and device testing with self-healing scripts and distributed execution, reducing test cycles significantly for efficient and scalable QA within Agile/DevOps.

R-Script: Gen-AI Test Case and Script Generator

Reflections Gen-AI tool automates test case creation and script generation (Java, JavaScript, scalable to TypeScript) using generative AI, integrating with Jira for traceability. By analyzing requirements, it produces reusable, high-quality assets, slashing manual effort by up to 80%, accelerating testing, and improving Agile delivery efficiency.

Reflections QA Dashboard Overview

Reflections QA Dashboard, powered by Power BI and integrated with tools like Jira, provides real-time visibility into key testing metrics (execution, defects, coverage, quality) across diverse applications. This domain-agnostic, Agile-compatible tool enables faster, data-driven decisions, enhances transparency, and optimizes delivery for QA teams.

Impact Insights

End-to-End Quality Engineering Accelerates Delivery for Lending Platform

Backdrop: Manual testing created release bottlenecks, slowing delivery and limiting the platform’s ability to keep up with fast-paced development, impacting time-to-market and product quality.

Solution: Designed and implemented a shift-left, end-to-end test automation strategy, covering service-layer and UI regression testing for loan origination, enabling early defect detection and faster test execution.

Impact

Reduced regression cycles by 83% (from 6 man-days to 1), doubled annual production releases, improved product reliability, and enhanced customer satisfaction through faster, high-quality deliveries.

Comprehensive Testing for a Retail Customer’s Digital and Packaged Applications

Backdrop: A retail customer needed robust validation of B2B and B2C workflows across a heterogeneous landscape of web and SAP applications, aiming to enhance quality through tailored test strategies while managing complex data workflows.

Solution: Reflections implemented a comprehensive testing strategy covering end-to-end workflows for web applications and SAP systems. AI-based pixel-level validations automated product output comparisons, ensuring precision. Data testing on Snowflake-based workflows validated data quality, accuracy, and transformations, with additional testing at the reporting layer to ensure reliable insights.

Impact

Early defect detection improved application quality, reducing rework costs. Robust report testing instilled high confidence in data-driven insights, enabling seamless B2B and B2C operations and enhancing overall system reliability for the retail customer.

Implementing Stringent Testing for a Secure and Seamless Credit Card Platform

Backdrop: A credit card platform needed robust validation of its feature-rich mobile and web applications to support rapid production releases, but faced challenges in achieving comprehensive testing coverage, speed, and performance under high user loads.

Solution: Reflections deployed a functional, non-functional, and performance testing strategy, using a scriptless automation tool for API, web, and mobile testing. The approach reduced test design time by 40%, utilized synthetic test data for new scenarios, and leveraged service virtualization for end-to-end automation. Performance testing ensured applications handled peak traffic, optimizing response times and scalability across environments.

Impact

The solution achieved 1.5x faster automation with scriptless testing and a single script for multiple mobile OS, boosting efficiency. High test coverage, including performance metrics, across devices improved product quality and reliability, enabling seamless user experiences and faster production releases.

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Our Approach

QA Consultation
We Identify the maturity levels of Testing within an organization to define roadmaps that will achieve quality goals.
Test Lifecycle Automation
Our automation approach blends conventional scripted testing techniques, and new age low-code automation platforms to expedite the pace of testing on both legacy and new era apps.
Digital Asset Certification
We leverage behavioral engineering techniques to validate and enhance the applications’ behaviors in real time.