QA Testing & Software Testing Services
Our QA testing services catch defects before your users do, with automated tests in the delivery pipeline and people testing what automation can't. Senior engineers set the test strategy, and QA runs in every sprint, not as a phase at the end.
Runs on every change
- Sign-inSign-inAutomated
- CheckoutCheckoutAutomated
- Order syncOrder syncIn progress
- ReportsPlanned
- Admin toolsPlanned
CI PIPELINE
Every change
Tested before release
What Are QA Testing Services?
QA testing services check that software does what it should before it reaches users, and keep checking as it changes. The work covers test planning, manual testing, test automation, regression testing, and performance testing. Good QA finds problems early, when they cost the least to fix.
Software QA services can run inside a development team or as a separate engagement, for software another team wrote.
Manual testing or test automation?
Both. Automation reruns the same checks on every change, at a speed manual testing can't match. People still test new features, unusual workflows, and how the software feels to use. A good test suite uses each where it works best.
SIGNS
Signs Your Software Needs Better Testing
Weak testing shows up in production first. These are the signs we see most often.
Every release breaks something
A fix in one place causes a bug in another, and users find it before your team does.
Releases wait on manual testing
Someone clicks through the whole app before each release, so releases slow down or skip steps.
There's no test coverage
The codebase has few or no automated tests, so nobody can change it with confidence.
It breaks under real use
The app works for one user and fails when many people use it at once.
Only the happy path works
Normal cases pass, but missing data, unusual inputs, and large records cause failures.
Security issues reach production
Builds carry no security checks, so vulnerable code ships without anyone noticing.
OUR APPROACH
How We Approach QA and Testing
We build testing into delivery from the first sprint, so every change is checked before it ships. Senior US-based engineers lead our builds, with nearshore support available for ongoing work.
Testing at the end
- One big test phase before launch
- Bugs found by users
- Manual clicks for every release
- Tests nobody maintains
Testing in every sprint
Tests for core components
We write automated tests for core system components and ship through CI/CD, so every change runs the suite before it reaches production.
Gates that block bad changes
Linting, security scans, and test runs sit in the pipeline. A change that fails any of them doesn't merge until it's fixed.
Environments that match production
QA, UAT, and staging environments are built from the same infrastructure code as production, so a passing test means something.
People where judgment matters
Testers and business users check new features and edge cases, and engineers use the software with realistic data before release.
Does production replace testing?
No, but production teaches what test environments can't. We release in stages, watch real usage, and fix problems while each change is still small. Staged rollouts and a way to roll back are part of the test plan.
TEST TYPES
Types of Software Testing
Most applications need several kinds of testing, and each one catches a different kind of problem.
| TEST TYPE | WHAT IT CHECKS | WHEN IT RUNS |
|---|---|---|
| Unit | One function or component on its own | On every change, in seconds |
| Integration | That components, APIs, and databases work together | On every change, before merge |
| Functional and UI | That users can finish real tasks in the interface | Before each release, often automated |
| Regression | That existing features still work after a change | Before each release |
| Performance and load | Speed and stability with many users or large data | Before launch and before expected peaks |
| Security scanning | Known vulnerabilities and unsafe code patterns | On every change, in the pipeline |
| User acceptance | That the software fits how the business works | Before release, by business users |
How we decide what to automate
We automate the checks that run on every change and the workflows that would hurt most if they broke, such as sign-in, payments, and orders. New features and rare edge cases often get manual testing first, then automation once they settle.
WHAT WE DO
QA and Testing Work We Do
Our QA services cover the full test cycle, from the plan to the checks that run on every change.
Test strategy and planning
A plan for what to test, how, and when, based on where a failure would cost the most. It sets the mix of unit, integration, UI, and performance tests.
Test automation in CI/CD
Automated unit, integration, and UI tests that run in the pipeline on every change, with gates that stop a failing change from merging.
Regression testing
Suites that recheck existing features before each release, so a fix in one place doesn't break another.
Performance and load testing
Tests that run the software with many users and large data before launch, to find slow queries and record locking that appear only under load.
Security scanning
Static analysis and security scans in the pipeline, plus fixes for what they find. For an environmental monitoring and compliance platform provider, JBS Dev added Sonar scanning to the CI pipeline and fixed the vulnerabilities it found.
AI-assisted test generation
AI tools draft tests from existing code, and engineers review them before they join the suite. For a national luxury florist with no test coverage, JBS Dev generated tests before refactoring the platform. See Software Project Rescue.
HOW IT WORKS
How a QA Engagement Runs
A QA engagement runs in five steps, from reviewing what exists to testing every release.
STEP 1
Review
We review the code, the existing tests, the release process, and where bugs have hurt most.
STEP 2
Test Plan
Senior engineers decide what to automate, what to test by hand, and what coverage to aim for.
STEP 3
Pipeline
We add automated tests and checks to CI/CD, with gates that block failing changes.
STEP 4
Sprint Testing
Developers unit test as they build, and QA runs integration and regression testing in each sprint.
STEP 5
UAT and Release
Business users test in an environment that mirrors production, and each release ships with a rollback plan.
Testing AI features
AI output can change from one run to the next, so we test it differently. We check results against known answers, keep hard rules in APIs where they can be tested like any other code, and send uncertain cases to a person.
What your team keeps
Test suites, pipeline configuration, and documentation stay with you. You own everything we build, and your developers can run and extend the tests without us.
RESULTS
QA and Testing Results
For a national direct lender for business-purpose residential real estate, JBS Dev took over a non-functional codebase, rewrote it, and started shipping every two weeks, with part-time QA covering manual testing and UI automation. For a bulk liquids storage and logistics provider, every code change passes automated tests and security scans before it can merge.
56 sec
Java builds, down from about 46 minutes
Education
Finishing a Data Warehouse for a Global Testing Organization
Challenge: Data reached the AWS data lake, but only skilled developers writing SQL by hand could get it back out.
Result: A new query API lets non-IT staff serve themselves, and Java build times fell from about 46 minutes to 56 seconds.
Read the testing organization case study257%
Google Lighthouse score increase
Retail
Core Web Vitals Optimization for a Major Footwear Retailer
Challenge: The retailer's Angular e-commerce site scored about 7 on Google Lighthouse, which hurt its search rankings.
Result: Targeted code fixes raised the score to about 25 in four months, a 257% increase.
Read the footwear retailer case study"JBS feels more like an extension of our internal team than a traditional vendor relationship."
Senior IT Leader, AmeriVet Partners
TECHNOLOGY
Testing Tools and AI
We use the test tools that fit your stack. They include pytest for Python, Selenium for browser testing, AWS Device Farm for mobile apps, Sonar and bandit for code and security scanning, and GitHub Actions and Azure DevOps for CI/CD.
AI-driven development is a core part of how JBS Dev works. AI tools draft tests and documentation from existing code, and senior engineers review every test before it joins the suite.
EVERY CHANGE
Code change
CI pipeline
Tests and scans
TEST WRITING
AI tools
Draft tests from existing code
Senior engineers
Review before merge
COST AND TIMELINE
What Drives QA and Testing Cost
QA cost depends mostly on the size of the application and how much testing already exists. Six factors drive most estimates:
- 01Size and complexity of the application
- 02Existing test coverage
- 03Platforms and browsers to cover
- 04Integrations to test
- 05Performance and security requirements
- 06How often you release
How the timeline is set
The review sets it. Automated checks can join the pipeline early, and coverage grows sprint by sprint around the workflows that matter most. For a product that keeps changing, QA runs as long as releases do.
How cost is set
We don't quote a number before we understand the software. The review turns the factors above into an estimate, whether QA runs inside a JBS Dev project or as its own engagement.
ENGAGEMENT MODELS
Ways to Work With Us
Each model stands alone or leads into the next. Compare all the ways to work with us.
Assessment & Strategy
For companies that need clarity before committing to a build.
Start here if you're not sure what to change first. We review the system component by component, weigh difficulty against business impact, and recommend a path for each part, including what to leave alone. You get a roadmap you can act on with us or on your own.
- Technical assessment
- Architecture review
- AI opportunity mapping
- Modernization roadmap
- Prioritized recommendations
Best when: You need to understand the opportunity, risk, architecture, or roadmap before investing in a larger build.
Projects
For companies ready to build or modernize a defined system.
For a defined scope, senior engineers lead delivery from architecture through release. We work in stages, write tests for core components, and ship through CI/CD. You own everything we build, plus knowledge transfer and documentation tailored to your team.
- Modernization projects
- Custom applications
- Cloud platforms
- Data systems
- Integrations
- AI agents
Best when: You have a clear business problem, workflow, or platform that needs to be built, modernized, or connected.
Teaming / Managed Delivery
For companies that need experienced delivery capacity.
When you need more than a single project, services we can provide include architectural guidance for your existing team, hands-on development, QA, and ongoing support. Senior US-based engineers lead our builds, and nearshore support is an option for ongoing work.
- Senior-led teams
- Embedded engineering
- Ongoing development
- Knowledge transfer
- Flexible support
Best when: You need reliable engineering capacity, technical leadership, or ongoing delivery support without adding unnecessary management overhead.
Project stalled with another vendor? Software Project Rescue
WHY JBS DEV
How to Choose a QA Testing Partner
QA outsourcing works when the testers understand the code and the business it supports. Here are four questions to ask, and how we answer them.
- Do they automate, or only click through?
- Both, in the right places. We automate the checks that run on every change and test new features by hand. Automation that nobody maintains stops being useful, so tests are part of the code we review.
- Do they test with realistic data?
- They should. Our engineers use the software with realistic data before release, because a list that works with a few test records can fail with thousands.
- Who owns the tests?
- You do. You own everything we build, including the test suites and pipeline configuration, so your team can run them without us.
- Where is the team?
- Senior US-based engineers lead our builds, with nearshore support available for ongoing work.
JBS Dev is a senior-led custom software development company, founded in 1999, that builds, modernizes, and integrates enterprise systems around the technology clients already own.
FAQ
QA Testing Services FAQs
What do QA testing services include?
They include test planning, manual testing, test automation, regression and performance testing, security scanning, and support for user acceptance testing. Ours build automated tests into your CI/CD pipeline, so every change is checked before it ships, and add people testing where judgment matters.
What is the difference between QA and testing?
Testing checks whether a specific piece of software works. QA is the wider practice of preventing defects, including test plans, code review, pipeline gates, and the release process. Good QA includes testing, and it also changes how software gets built, so fewer bugs reach testing at all.
What should we automate first?
Start with the checks that run on every change and the workflows that would hurt most if they broke, such as sign-in, payments, and orders. Unit and integration tests in the pipeline come first, then UI tests for the main user paths. New features often get manual testing until they settle.
Can you take on QA for software another team built?
Yes. We start by reviewing the code and any existing tests, then add automated coverage around the workflows that matter most before we refactor anything. The review sets the scope of the engagement.
How much do software testing services cost?
It depends on the size of the application, existing test coverage, the platforms and browsers to cover, integrations, performance and security requirements, and how often you release. We don't quote a number before we understand the software. The review turns those factors into an estimate.
Do you do performance and load testing?
Yes. We run the software with many users and large data before launch and before expected peaks. Many problems appear only under load, such as slow queries and record locking. For Tidal Basin's grant platform, JBS Dev load-tested the system to 50,000 concurrent applications in 30 minutes.
How do you test AI features?
We test AI output against known answers and limit what the AI can do, because its output can change between runs. Rules that must never break live in APIs, where they're tested like any other code. A person reviews uncertain or high-risk results before anything happens.
Does QA slow down releases?
Not when it's built into the pipeline. Automated tests run on every change, so problems surface while the change is small and easy to fix. For a large non-profit EdTech company, a rebuild with automated deployments cut the development cycle from five weeks to two.
