QA Case Studies & Teardowns
Real software built, tested, and shipped. Here is how our quality engineering team verifies critical data persistence, strict memory isolation, and peak load concurrency.
Product-Led Quality Engineering: Tested on Production Codebases We Own
Unlike generic outsourced agencies, we design, engineer, and maintain our own complex developer tools and platforms (Auto-Mate, QA Fake API, QuickSlide Studio, Ziara Converter). The test automation architectures, memory profiling, and load benchmarks below reflect our battle-tested internal test frameworks applied directly to your mission-critical applications.
Ziara Invoice: Offline-First Mobile Billing
Offline-First Mobile Architecture & Tax Engine QA
The Engineering Challenge: Invoicing apps must reliably handle data persistence even if phone battery dies or connectivity cuts mid-save. Additionally, Indian GST calculations require exact rounding with zero floating-point discrepancies.
Our Testing Architecture: We engineered an automated test matrix validating SQLite Room DB transaction locks, edge-case tax calculation suites across mixed tax slabs, and stress-tested background WhatsApp PDF generation across 12 physical Android devices.
Ziara Converter: Privacy-First File Suite
WebAssembly Security & Client-Side Stress Testing
The Engineering Challenge: Ziara Converter operates on client-side execution by running PDF merges and image compressions inside WebAssembly. We conducted network inspection to confirm client-side privacy while maintaining stability with heavy 60MB+ files.
Our Testing Architecture: Conducted rigorous DevTools network packet interception, fuzz-tested memory limits with corrupted and oversized PDF documents, and verified strict browser sandbox memory garbage collection.
ZiaraKart: Wholesale Digital Storefront
B2B Concurrency & Poor Network Resiliency
The Engineering Challenge: Wholesale buyers place high-volume orders with tiered quantity pricing. Network connections in Tier-2/Tier-3 regional markets often drop during checkout.
Our Testing Architecture: Architected end-to-end Cypress checkout suites, executed JMeter concurrency stress tests, and tested offline cart caching with network throttling.
QuickSlide Studio: Interactive Presentation Engine
Canvas Rendering, SVG Scalability & Export Fidelity QA
The Engineering Challenge: Interactive slide editors face rendering anomalies when users apply dynamic font sizes, multi-layer SVG vectors, and complex gradient animations across high-DPI screens.
Our Testing Architecture: Implemented automated pixel-diff assertions across 4K, 1440p, and 1080p display profiles, audited browser canvas memory garbage collection, and tested PDF presentation export fidelity.
Flattiq: Instant JSON & CSV/Excel Data Engine
Large Dataset Parsing & Browser Memory Stress QA
The Engineering Challenge: Converting huge JSON arrays (50MB+ datasets) to CSV and Excel directly inside the browser event loop can freeze the UI thread and trigger browser out-of-memory crashes.
Our Testing Architecture: Implemented Web Worker streaming parser tests, chunked array memory profiling in Chrome DevTools, and verified zero network packets leave the client.
QA Fake API: Chaos Mock Backend Sandbox
Simulated Backend Fault Injections & SLA Assertions
The Engineering Challenge: Mock API servers must reliably emulate realistic e-commerce schemas, simulated HTTP 500/429 rate limit errors, and variable network latency without crashing under high concurrency.
Our Testing Architecture: Engineered automated JMeter stress suites (5,000+ virtual users), validated JWT signature verification boundaries, and stress-tested in-memory state resets.
Auto-Mate: Smart Cypress Automation Recorder
DOM Inspector & Intelligent Selector Generation QA
The Engineering Challenge: Chrome extensions that record user DOM actions often create brittle, volatile CSS selectors that break upon minor website redesigns. It must prioritize resilient data-testid attributes and accessible roles.
Our Testing Architecture: Constructed comprehensive selector hierarchy unit tests (data-testid > ID > accessible role > CSS path), verified shadow DOM inspection, and benchmarked background service worker script export.
UI Bug Detector: Visual Defect & Alignment Scanner
DOM Geometry Math & WCAG Contrast Analysis QA
The Engineering Challenge: Detecting visual bugs algorithmically requires calculating bounding client rectangles across dynamic scroll positions, z-indexes, and nested iframes without slowing down page interactions.
Our Testing Architecture: Fuzz-tested edge-case layout scenarios (zero-height containers, overlapping sticky headers, negative margins) and automated contrast ratio mathematical validation against WCAG 2.1 specs.
Want Similar Quality Benchmarks for Your Software?
Let us put your product through our rigorous test matrix. Request your no-obligation initial QA assessment.