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Quality Assurance

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Overview:

Quality Assurance

Quality Assurance ensures reliability through Functional, Non-Functional, Automation, Performance, Security, Data, Accessibility, and End-to-End testing. Our structured QA approach detects issues early, enhances product quality, and delivers seamless user experiences—keeping your business trusted and future-ready.

AI Quality Assurance

Tools:

  • Applitools Eyes (AI-powered visual testing)

  • Testim.io (AI-driven test automation)

  • Mabl (self-healing AI tests)

  • Functionize (AI cloud-based testing)

Techniques:

  • AI-based anomaly detection

  • Machine learning test prioritization

  • Visual regression testing (AI-comparison)

  • Intelligent test case generation & self-healing

Functional Testing

Tools:

  • Selenium (web apps)

  • Cypress (modern JS framework apps)

  • Playwright (cross-browser automation)

  • TestComplete

Techniques:

  • Black-box testing

  • Boundary value analysis

  • Equivalence partitioning

  • Decision table testing

Non-Functional Testing

Tools:

  • JMeter (performance/load)

  • LoadRunner

  • Dynatrace / New Relic (monitoring)

  • Burp Suite / OWASP ZAP (security)

Techniques:

  • Usability testing

  • Reliability & scalability analysis

  • Stress & endurance testing

  • Monitoring resource utilization

Test Automation

Tools:

  • Selenium / Appium

  • Robot Framework

  • Cypress / Playwright

  • Katalon Studio

Techniques:

  • Data-driven testing

  • Keyword-driven testing

  • BDD (Behavior-Driven Development) with Cucumber

  • Continuous Integration (CI/CD) pipelines

Web & Mobile Testing

Tools:

  • BrowserStack / Sauce Labs (cross-browser/device)

  • Appium (mobile apps)

  • Espresso (Android)

  • XCTest (iOS)

Techniques:

  • Responsive design testing

  • Cross-device compatibility testing

  • Real-device vs emulator/simulator testing

  • Mobile gestures & UX validation

Performance Testing

Tools:

  • Apache JMeter

  • Gatling

  • LoadRunner

  • BlazeMeter

Techniques:

  • Load testing

  • Stress testing

  • Spike testing

  • Endurance/soak testing

Security Testing

Tools:

  • OWASP ZAP

  • Burp Suite

  • Nessus / Qualys (vulnerability scanning)

  • Fortify / Veracode (SAST/DAST)

Techniques:

  • Penetration testing

  • Vulnerability scanning

  • Threat modeling

  • Static & dynamic code analysis

Data Testing & Analytics

Tools:

  • Talend (ETL testing)

  • Informatica Data Validation

  • QuerySurge

  • Apache Spark / Hadoop (Big Data testing)

Techniques:

  • Data completeness, accuracy & consistency checks

  • ETL process validation

  • Data profiling

  • Big data sampling & validation

Accessibility Testing

Tools:

  • Axe Accessibility

  • WAVE (Web Accessibility Evaluation Tool)

  • JAWS / NVDA (screen readers)

  • Accessibility Insights

Techniques:

  • WCAG compliance testing

  • Screen reader validation

  • Keyboard navigation testing

  • Color contrast & ARIA roles validation

End-to-End Product Testing

Tools:

  • Selenium + Appium + REST Assured (combined)

  • TestComplete

  • Cypress (for full E2E flows)

  • Postman (API part of flow)

Techniques:

  • Business process testing (BPT)

  • Scenario-based testing

  • User journey simulation

  • Cross-integration validation

Tools And Technologies

Applitools Eyes
Testim.io
Functionize
Selenium
Mabl
Cypress
Playwright
Apache JMeter
LoadRunner
New Relic
Burp Suite
OWASP ZAP
Axe Accessibility
Apache Spark
Fortify
WAVE
Informatica Data Validation
Burp Suite
TestComplete
Dynatrace

Frequently Asked Questions

Ask Away.
We’ve Got the Solutions You Need.

What is Quality Assurance (QA)?

Quality Assurance is a systematic process that ensures a product or service meets defined requirements, standards, and customer expectations. It focuses on preventing defects rather than just detecting them.

How is QA different from Quality Control (QC)?

  • QA = Process-oriented (preventing defects, improving methods).

  • QC = Product-oriented (detecting defects through testing).
    Both work together to ensure product quality.

Why is QA important in software development?

QA ensures reliability, performance, and security of software while reducing bugs, lowering costs of rework, improving customer satisfaction, and increasing product success in the market.

What are the main activities involved in QA?

  • Requirement analysis

  • Test planning & strategy

  • Test design (test cases, scenarios)

  • Test execution & automation

  • Defect reporting & tracking

  • Continuous process improvement

What are functional vs. non-functional testing in QA?

  • Functional Testing checks if software features work as expected (e.g., login, checkout).

  • Non-Functional Testing checks system attributes like performance, security, scalability, and usability.

What tools are commonly used in QA?

Some widely used QA tools are Selenium, Cypress, JMeter, Appium, Postman, Burp Suite, TestComplete, BrowserStack, and OWASP ZAP.

What is the role of automation in QA?

Automation speeds up repetitive test execution, ensures consistency, improves coverage, and supports CI/CD pipelines. It reduces manual effort but does not replace manual testing entirely.

How does QA fit into Agile and DevOps?

In Agile/DevOps, QA is integrated into the development lifecycle. Testing happens continuously (shift-left approach) with automated pipelines, allowing faster releases and higher product quality.

What is regression testing and why is it important?

Regression testing ensures that new code changes don’t break existing functionality. It’s crucial for maintaining software stability, especially in continuous development environments.

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