TRUSTED BY ENGINEERING TEAMS WORLDWIDE

Software Testing and QA Services

End-to-end quality engineering for regulated and high-traffic software.

SDLC Corp delivers QA and software testing services across functional, automation, performance, security, and AI layers. Our software testing services and QA testing services support product teams from first sprint to live release.

96 AI-Powered Defect Detection Accuracy Verified in live automotive production · Read case study
  • ISTQB-trained test engineers
  • ISO-aligned secure delivery
  • Global engineering footprint across multiple regions
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Brands that trust us with QA and software testing

QA and software testing services delivered for organizations including Huawei, the University of Toronto, the University of Utah, the Abu Dhabi Department of Municipalities and Transport, CETU, Transworld, Lexit, and AFG.

Our Services

Software Testing Services We Offer

Our software testing services span the full software lifecycle. Each engagement combines manual exploration with automation across test automation services, performance testing services, security testing services, and end-to-end testing services.

01

Functional Testing Services

Functional testing validates business logic, user flows, and features across web, mobile, and API layers.

02

Test Automation Services

Automation accelerates regression and smoke cycles on Selenium, Cypress, Playwright, and Appium.

03

Performance and Load Testing

Performance tests measure response time, throughput, and stability under peak traffic using JMeter and K6.

04

Security Testing Services

Security testing finds vulnerabilities through OWASP Top 10 checks, penetration tests, and API fuzzing.

05

Mobile App Testing Services

Mobile app testing validates iOS, Android, and cross-platform builds across real devices and networks.

06

API Testing Services

API testing verifies contracts, authentication, and payload handling across REST, GraphQL, and SOAP.

07

Regression Testing Services

Regression testing locks stability across every release inside Jenkins, GitHub Actions, and Azure DevOps.

08

AI-Powered QA Testing

AI-driven testing uses self-healing scripts, intelligent test generation, and predictive defect analytics.

Engagement Options

Flexible QA Testing Engagement Models

Pick the QA engagement that fits your team and budget. We deliver managed testing services, software testing staff augmentation, dedicated QA team services, and on-demand software testing services.

ModelBest ForTeam SizePricing Model
Dedicated QA Team
Continuous product releases4 to 15 testersMonthly retainer
Managed QA Services
Full QA function ownership6 to 50+ engineersMonthly retainer
QA Staff Augmentation
Skill-gap filling1 to 10 testersHourly
Project-Based Testing
Fixed-scope deliverablesScope-dependentFixed price
On-Demand Testing
Burst capacity, hotfixes1 to 8 testersHourly
TCoE Setup
Enterprise QA standupConsulting plus ongoingTime and materials
Why Choose Us

Why Teams Choose Us for Software Testing

Engineering teams pick us as their software testing company for one reason: outcomes. Our QA outsourcing and offshore delivery hold cost discipline without losing release speed.

01

Engineering Tenure

Shipping digital products since 2015 across multiple industries and tech stacks.

02

Tool-Agnostic Practice

We pick test frameworks based on your stack and release shape, not vendor relationships.

15+ frameworks supported
03

Global Delivery Footprint

Delivery centers across the US, UK, UAE, India, and Australia enable follow-the-sun coverage.

5 regions, 24/7 coverage
04

AI-Augmented Testing

Self-healing scripts, GenAI test data generation, and predictive defect models inside our toolchain.

05

Transparent Reporting

Weekly dashboards expose defect leakage, automation coverage, MTTD, and release readiness.

KPI dashboard from day 7
06

Flexible Engagement

Multiple engagement models and pricing structures, with onboarding inside two weeks for most projects.

Onboarding in under 2 weeks
The Process

Our QA Testing Methodology

Our QA testing methodology follows the Software Testing Life Cycle across six structured stages, from requirement analysis to release sign-off. Functional, regression, performance, and security testing are built into every cycle.

01

Requirement Analysis

QA reviews requirements, user stories, and acceptance criteria to define testable scope.

Output Traceability matrix mapping every requirement to test cases.
02

Test Planning and Strategy

We define test scope, types, tools, entry-exit criteria, and risk-based coverage priorities.

Output Signed test plan with coverage scope and entry-exit criteria.
03

Test Case Design

Engineers write manual cases and build automation scripts for regression and smoke suites.

Output Manual test cases and ready-to-run automation suite.
04

Test Execution

We run functional, regression, performance, security, and API tests across each build.

Output Detailed execution report with all defects logged in tracker.
05

Defect Triage and Retesting

Defects are prioritized, fixed, retested, and regressed before merging to release branch.

Output Zero critical defects with full retest and regression sign-off.
06

Test Closure and Release Sign-Off

We validate exit criteria, publish coverage metrics, and certify the build for production.

Output Formal release sign-off with full coverage metrics.
Outsourcing vs In-House

QA Outsourcing vs In-House Testing

QA outsourcing ramps a certified testing team in days, while in-house QA hiring takes months, fixed cost, and slower release cadence.

Dimension
SDLC Corp Outsourced QA
In-House QA Team
Time to Ramp
7 to 10 business days
4 to 6 months
Tool Licenses
Included
$40K+ per year, per stack
Certifications (ISTQB, OWASP)
Included on bench
Hire and train
Coverage Hours
Follow-the-sun
Single time zone
Scaling Up or Down
One sprint
30 to 60 day notice
Specialization Breadth
15+ skills on bench
2 to 4 skills per hire
Get Started

Schedule Your Free QA Audit

Book a free 30-minute QA audit. Our enterprise software testing services team will return three specific improvements you can ship this sprint.

Get Free QA Audit
No commitment. NDA on request. Response within 24 hours.
QA engineers reviewing software testing workflows and audit reports
Tech Stack

QA Testing Frameworks and Tools

Our toolchain combines manual exploration with continuous testing, DevOps pipelines, and autonomous testing capabilities. We pick frameworks based on your stack, not vendor relationships.

30+ Industry Tools Supported
9 QA Categories Covered
100% Tool-Agnostic Practice

Test Automation

  • Selenium
  • Cypress
  • Playwright
  • Appium
  • TestNG
  • Cucumber

Cross-browser and cross-platform automation across web and mobile builds.

Regression Ready

Manual Testing

  • Exploratory testing
  • Usability testing
  • Smoke and sanity
  • Ad-hoc validation
  • UAT support
  • Accessibility checks

Hands-on validation by ISTQB-trained engineers catching edge cases automation misses.

Human Insight

Performance

  • JMeter
  • K6
  • LoadRunner
  • Gatling
  • NeoLoad

Load, stress, and soak tests scaled to your real peak-traffic patterns.

High Throughput

API Testing

  • Postman
  • REST Assured
  • SoapUI
  • Karate

Contract, payload, and auth validation across REST, GraphQL, and SOAP.

Contract Safe

Mobile

  • Appium
  • BrowserStack
  • Sauce Labs
  • Perfecto

Real-device coverage across iOS, Android, and tablet form factors.

Device Cloud

Security

  • OWASP ZAP
  • Burp Suite
  • Nessus
  • Acunetix

OWASP Top 10 sweeps, pen tests, and fuzzing across APIs and web surfaces.

OWASP Aligned

Test Management

  • Jira
  • TestRail
  • Zephyr
  • qTest
  • Xray

Case authoring, run tracking, and defect routing inside your existing tracker.

Audit Trail

CI/CD Integration

  • Jenkins
  • GitLab CI
  • GitHub Actions
  • Azure DevOps
  • CircleCI

Quality gates wired into your pipelines for unit, regression, and security checks.

Shift Left

AI and Autonomous

  • AI test generators
  • Self-healing frameworks
  • Predictive analytics

Self-healing scripts and GenAI test data lower maintenance overhead per sprint.

AI Native
Recent Engagements

QA and Software Testing Case Studies

Recent engagements where our QA testing services owned validation, automation, and compliance across the full delivery cycle from sprint to live release.

AI-powered defect detection on automotive production line
Manufacturing

AI-Powered QA Hits 96% Defect Detection Accuracy

QA validated an AI vision model on live automotive production lines, combining adversarial testing with edge-case coverage at production speed.

Outcome 96% defect-detection accuracy
Read the case study
Buy Now Pay Later platform PCI DSS compliance testing
Fintech

PCI DSS QA for a Buy Now Pay Later Platform

QA covered PCI DSS compliance testing, payment flow validation, fraud-pattern checks, and concurrency load testing across the payment gateway.

Outcome Zero data-integrity defects. Audit-ready release.
Read the case study
Multi-region travel booking mobile app QA testing
Travel

Mobile QA for a Multi-Region Travel Booking App

Mobile testing covered iOS and Android device farms, peak-traffic load tests, and end-to-end booking flow validation across GDS integrations.

Outcome Stable launches with zero overbooking incidents through peak seasons.
Read the case study
Reviews and Recognition

Trusted QA Partner, Rated by Clients

Verified ratings from independent client interviews on Clutch, GoodFirms, DesignRush, and Google.

5.0 GoodFirms

Their thorough testing phase took a bit longer than expected, but it ensured a flawless launch. It was absolutely worth it.

Audrey verified GoodFirms client review
Audrey Consumer App Platform
Verified review on GoodFirms
5.0 GoodFirms

The team treated performance tuning as part of the process, not an extra task, which showed their commitment to lasting results.

Niklas verified GoodFirms client review
Niklas Business Analytics Dashboard
Verified review on GoodFirms
5.0 GoodFirms

Their ability to translate telecom-specific requirements into stable, well-tested modules made integration significantly smoother.

Ahmed verified GoodFirms client review
Ahmed Telecom Platform
Verified review on GoodFirms
FAQ

Frequently Asked Questions About QA Testing

Common questions from engineering and procurement teams evaluating a QA partner. Covers scope, cost, timelines, and compliance.

01

What are QA and software testing services?

QA and software testing services include test planning, test case design, manual and automated execution, defect tracking, and KPI reporting across the software development lifecycle. They cover functional, performance, security, accessibility, and compatibility layers. SDLC Corp delivers all of these through certified engineers and tool-agnostic frameworks.

02

What is the difference between QA and software testing?

QA is the broader discipline of preventing defects through process, standards, and continuous improvement. Software testing is one activity within QA that finds and validates defects. QA owns the framework, while testing executes the checks. Strong programs combine both, treating prevention and detection as a single workflow.

03

How much do QA and software testing services cost?

QA and software testing services cost between $25 and $150 per hour depending on engineer location, specialization, and engagement model. Offshore manual testing sits at the lower end, while US-based security or AI testing reaches the higher end. Fixed-scope projects run $5,000 to $250,000 based on coverage breadth.

04

Why should I outsource QA and software testing?

Outsourced QA reduces hiring time from months to days, removes payroll overhead, and adds discipline that in-house teams often skip under release pressure. Specialized vendors bring tool licenses, certified engineers, and process maturity that an internal team would take two or more years to build. The result is faster releases at lower total cost.

05

How do I choose a QA and software testing services company?

Choose a QA partner on five criteria: ISTQB or equivalent certifications, named tool stack, transparent KPI reporting, references from your industry, and an onboarding timeline under two weeks. Ask for sample dashboards, defect-leakage data, and at least two reference calls. Pricing should be the last filter, not the first.

06

What types of software testing do you offer?

Offered testing types include functional, regression, performance, load, security, API, mobile, accessibility, usability, compatibility, and AI model testing. Each type uses dedicated tools and engineers trained for that specialty. Coverage scope is defined per project based on application risk, release cadence, and compliance requirements.

07

How quickly can you onboard a QA team?

A QA team can be onboarded within 48 to 72 hours for staff augmentation or 7 to 10 business days for full managed services. Onboarding includes pod staffing, tool integration, access setup, and first sprint kickoff. ISTQB-trained engineers stay on bench to enable this ramp speed.

08

Can you integrate with our existing CI/CD pipeline?

Integration with existing CI/CD pipelines is part of standard onboarding. Supported tools include Jenkins, GitHub Actions, GitLab CI, Azure DevOps, and CircleCI. Quality gates are configured for unit, regression, performance, and security stages, with automated reporting to your existing tracker.

Let’s Talk About Your QA Audit

Share your stack and current pain points. Our team will return a test coverage assessment and three improvements within 24 hours.

What happens next?