Search for a command to run...
I am Sanket Shah, founder and CEO of Deuex Solutions, where I focus on building scalable web mobile and data driven software products with a background in software development. I enjoy turning ideas into reliable digital solutions and working with teams to solve real world problems through technology.
No comments yet. Be the first to comment.
Guides, strategies and best practices on software testing services including manual testing, automation, QA, and quality assurance.
Quick Summary / Key Takeaways Manual vs automation testing is not about picking one winner. Most serious software teams need both. Manual testing is best when human judgment, user experience, and ex
Quick Summary / Key Takeaways Fintech in UAE is moving beyond digital wallets and mobile banking. The next wave is being shaped by instant payments, open finance, AI agents, unified digital identity,
Quick Summary / Key Takeaways ux design benefits show up directly in conversion rates because better user experience removes doubt, friction, and confusion. UX design helps users move from interest
Quick Summary / Key Takeaways Digital transformation Dubai projects work best when they begin with a business bottleneck, not a shopping list of software. Mid-size companies have a useful advantage.
Quick Summary Enterprise web application development is the work of turning complex business processes into secure, usable browser-based software. These applications are usually built for teams that h
The uae data protection law is no longer something software companies can leave for the legal team after launch. If your SaaS product, mobile app, CRM, marketplace, fintech platform, AI tool, or inter
Software testing services help you catch bugs before users do.
They improve product quality, reduce rework, support faster releases, and protect revenue.
The right testing approach depends on your product, release cycle, tech stack, and business risk.
Manual testing and automation both matter. The best results usually come from using both in the right places.
Good testing is not just about finding bugs. It is about making every release safer.
If you skip testing, the cost rarely stays small. A long cited NIST study estimated that inadequate software testing infrastructure cost the U.S. economy about $59.5 billion annually, and it also noted that more than half of software bugs were found late in the process.
Software testing services are often treated like a last step before launch. That is usually where teams go wrong. Testing is not a box to tick at the end. It shapes how stable your product feels, how confident your team becomes, and how often you can release without panic.
If you have ever pushed a feature live and then waited for support tickets to start rolling in, this guide is for you.
You can build a beautiful app, a feature rich SaaS platform, or a clean ecommerce product. If it breaks under normal use, none of that helps.
That sounds obvious. Yet many teams still treat testing as a delay instead of protection.
In our experience, most businesses come to testing after one of these moments:
A release breaks a working feature
Customers complain about bugs that internal teams missed
The product grows faster than the QA process
Developers spend too much time fixing avoidable issues
Leadership wants faster releases but fears production failures
That is usually the turning point.
The question stops being “Do we need testing?” and becomes “How do we stop firefighting every sprint?”
That is where software testing services start paying for themselves.
Software testing services are structured activities used to check whether an application works as expected, performs well under real conditions, stays secure, and delivers a smooth user experience.
That may sound broad. It is broad.
A real testing process can cover:
Functional testing
Manual testing
Automated testing
Performance testing
Security testing
Regression testing
Compatibility testing
API testing
Mobile app testing
Usability testing
The purpose is simple. Find issues early. Fix them before they become expensive.
When we worked with a client launching a B2B platform, the biggest issue was not a major crash. It was a set of small errors in user flows. Forms failed in one browser. Email triggers broke on certain inputs. Reports loaded slowly when filters stacked up. None of those looked dramatic in isolation. Together, they made the product feel unreliable.
That happens more often than people think.
A lot more than code.
They protect:
What testing protects | Why it matters |
User trust | People do not stay on products that feel broken |
Brand reputation | A buggy release can damage confidence fast |
Revenue | Checkout failures, login errors, and payment bugs hurt sales |
Team time | Fixing late stage defects costs more than catching them early |
Release confidence | Teams ship faster when they trust the process |
Product growth | A stronger quality process supports scale |
This is where many founders change their view. Testing is not overhead. It supports business stability.
Not every project needs the same test plan. A startup MVP should not be tested exactly like a banking app or a healthcare system.
Still, most testing work falls into a few clear buckets.
This checks whether the product behaves the way it should.
Examples:
Does the signup flow work?
Can a user reset a password?
Does the shopping cart update correctly?
Does the report export the right data?
This is the backbone of QA.
Regression testing checks whether new changes broke something old.
This is one of the most overlooked areas. Teams add a feature, verify that feature, and then forget to check surrounding flows.
We noticed that once products reach a certain level of complexity, regression issues start showing up everywhere. Not because developers are careless. Because software is connected in messy ways.
Automation testing uses scripts and tools to run repeatable tests quickly.
Best for:
Stable features
Repeated flows
Frequent releases
Large regression suites
It saves time, but only when chosen carefully.
This checks speed, response time, and system behavior under load.
Questions it answers:
Can your app handle traffic spikes?
What happens when hundreds or thousands of users log in together?
Does the API slow down under pressure?
Performance issues often stay hidden until growth exposes them.
This looks for weaknesses that attackers or bad actors could exploit.
It can include:
Authentication checks
Session handling reviews
Input validation
Access control testing
Vulnerability scanning
If your product handles payments, customer data, or private business records, security testing is not optional.
Modern software runs on APIs. If the API fails, the app fails, even if the interface looks fine.
API testing checks:
Endpoints
Response times
Data accuracy
Status codes
Authentication
Error handling
Mobile products add another layer of difficulty.
You need to account for:
Device variation
Screen sizes
Operating systems
Network conditions
Battery behavior
App interruptions
That is why mobile testing deserves its own plan.
This is one of the first things clients ask.
Which is better?
The honest answer is neither, on its own.
Manual testing | Automation testing |
Best for exploratory work | Best for repeatable scenarios |
Useful in early stage products | Useful in mature release cycles |
Good for usability checks | Good for regression coverage |
Human judgment matters | Speed and scale matter |
Slower over time | Faster after setup |
The best testing strategy usually blends both.
Manual testing is great when you want to think like a user. Automation is great when you want speed and repeatability. Trying to force one to do the whole job usually leads to weak coverage.
In our experience, teams get the best results when they automate stable, repeated flows and keep manual testing for exploration, edge cases, and user experience.
Some businesses think they only need testing before launch.
That is too late.
You should think about software testing services when:
You are building a new product
You release often
Your team is growing
Customers report recurring bugs
You are moving from manual QA to structured QA
You are adding automation
You are scaling user traffic
You work in a regulated industry
You want to reduce release anxiety
A useful way to frame it is this:
The more your product matters to users, the more testing matters to your business.
There is no single setup that fits everyone.
Good for companies with large product teams and steady release cycles.
Pros
Deep product familiarity
Faster internal communication
Cons
Hiring takes time
Coverage may stay limited if the team is small
Good for companies that need specialized support, faster ramp up, or flexible coverage.
Pros
Access to wider skill sets
Faster setup
Lower hiring burden
Easier to scale effort up or down
Cons
Requires a good onboarding process
Needs clear communication
A lot of growing teams land here.
Internal product owners and developers stay close to product goals. External testing teams support coverage, automation, performance testing, or release readiness.
When we worked with a fast moving SaaS client, this hybrid model worked best. Their internal team knew the product deeply. Our role was to bring structure, repeatable QA flows, and broader coverage before major releases. That gave them speed without giving up control.
A proper testing setup is not random bug checking. It follows a rhythm.
Here is a simple version of a healthy QA cycle:
Stage | What happens |
Requirement review | QA spots gaps before development starts |
Test planning | Scope, tools, environments, and priorities are defined |
Test case creation | Scenarios are documented and organized |
Execution | Tests are run manually or through automation |
Defect reporting | Issues are logged with steps, severity, and evidence |
Retesting | Fixes are checked |
Regression | Connected areas are verified |
Release signoff | Team decides if the build is ready |
This structure matters because bugs are not the only problem. Missed assumptions are just as dangerous.
We have seen teams write solid code against weak requirements. Testing catches that too.
Let’s make this practical.
No team catches everything. But a strong QA process cuts down the number of issues that reach users.
People assume testing slows things down. Poor testing slows things down. Better testing actually clears the path for smoother releases.
Users may forgive one bug. They rarely forgive a pattern.
Late defects cost more. That is not just industry advice. NIST’s economic assessment highlighted that delayed bug discovery creates major downstream costs and estimated huge economy wide losses from inadequate testing infrastructure.
Confidence changes the tone of a release cycle. Teams stop guessing. They start shipping with proof.
Almost every software business needs testing. Still, some sectors feel the impact harder.
A payment issue or cart bug can kill conversions fast.
Frequent releases create regression risk.
Patient data, compliance, and accuracy make quality non negotiable.
Trust is fragile. A small defect can become a major business problem.
Workflow errors can interrupt real world movement, stock, or reporting.
Bugs during live classes, tests, or progress tracking hurt both learners and institutions.
This part matters more than many people expect.
You are not just hiring someone to click through screens. You are trusting a team to protect your product.
Look for a partner who can answer these questions clearly:
Do they understand your product type?
Can they explain their testing approach in plain language?
Do they offer both manual and automation support?
How do they report bugs?
How do they prioritize severity?
Can they work with your release cycle?
Do they understand performance and security needs too?
A testing partner should make your process calmer, not noisier.
In our experience, the best QA partnerships start with curiosity. Good testers ask sharp questions early. They want to understand the logic behind the product, not just the interface.
That is usually a very good sign.
If any of these sound familiar, your QA setup probably needs work.
Bugs repeat across releases
Developers test their own work without independent review
Regression testing is done only when there is time
Test cases live in scattered documents
Release signoff feels rushed
Production issues are treated as normal
No one knows actual test coverage
Automation exists but is rarely trusted
This is where many teams get stuck. They have bits of QA. They do not have a real testing system.
Pricing depends on scope, product complexity, release frequency, and the kind of testing you need.
A rough view looks like this:
Testing need | Typical pricing approach |
Small manual QA support | Hourly or part time monthly model |
Dedicated QA resource | Monthly retainer |
Automation setup | Project based plus maintenance |
Performance testing | Scope based |
Security testing | Specialized assessment fee |
The mistake is looking only at the immediate testing cost.
The better question is this:
What does a failed release cost your business?
Once founders look at lost sales, emergency fixes, support pressure, and reputation damage, testing starts to look very reasonable.
If you are not ready for a huge QA setup, start small but start well.
Identify your most important user flows
Document expected behavior
Add structured manual testing
Track defects in one system
Build regression coverage
Automate stable, repeated flows
Review production issues monthly
That alone can change release quality fast.
We often tell clients not to chase a giant testing framework on day one. Start with the flows that matter most. Payments. Login. Core reports. Key user actions. Build trust there first.
Then expand
Early stage products can survive a few rough edges.
Growing products cannot.
The more users you serve, the harder it gets to recover from broken releases, silent failures, and messy workflows. A tiny defect in a small app is annoying. The same defect in a product with thousands of users becomes a business issue.
That is why software testing services should not sit at the edge of product strategy. They should sit closer to the center.
Good testing gives you room to grow.
It helps your team move with less fear. It helps users trust what you build. It helps your business avoid avoidable damage.
That is not extra process. That is good business.
If your team is shipping often, fixing the same issues again and again, or struggling to build confidence before launch, now is the right time to put a stronger QA process in place.
At Deuex Solutions, we help businesses plan, execute, and improve software testing services that match real product needs. That includes manual testing, automation support, regression strategy, performance checks, and release focused QA that fits your workflow.
Want a clearer testing roadmap for your product? Contact Deuex Solutions and let’s review your current QA process, spot the weak points, and build a testing approach that supports growth.
Software testing services are used to find bugs, verify features, improve product stability, and reduce release risk before software reaches users.
Yes. Startups may not need a massive QA department, but they do need structured testing. Early bugs can damage adoption and waste limited development time.
Testing is the act of checking the product. QA is broader. It includes the process, standards, planning, and practices that help teams build better software in the first place.
Most teams need both. Manual testing helps with exploration and user experience. Automation helps with repeated regression checks and faster release cycles.
Testing should happen throughout development, not just before launch. The more often you release, the more continuous your testing process should become.
