AAHA Solutions Limted company

12/12/2025

A knowledge session on "Data Analytics" was conducted by our Developer Geethu this evening. It included a sample code snippet for Data Analytics which was the icing on the cake!

09/12/2025

11/11/2025

🚀 Transform Your Vision into a Powerful Mobile Experience
In today’s digital-first world, your mobile app isn’t just a product — it’s your brand’s heartbeat.
At AAHA Solutions, we partner with startups and enterprises to design, develop, and deliver high-performing mobile applications that drive growth and user engagement.
From concept and UI/UX design to development, testing, and launch — we’re your end-to-end mobile app development partner.
💡 Whether you’re building your first app or scaling an enterprise solution, our expert team ensures:
✅ Scalable architecture
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Let’s build something extraordinary together.
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06/11/2025

INSTALLATION TESTING: DO BEFORE DONE

INTRODUCTION

Before you even get to use an app, you have to install it. Mess that up, and people will lose trust real quick, even before they try it. That's where installation testing comes in. It makes sure the software installs, updates, and uninstalls right, no matter what kind of setup you have.

Basically, installation testing checks if the installer works and if the software is ready to go. It should work across different computers, permissions, hardware, and operating systems. If the installation works right, the product has a smooth start, which makes it reliable, and people will be happy with it.

NEED FOR INSTALLATION TESTING

Installation testing is more than just checking if the installer works. Today's software depends on many things like frameworks, libraries, and outside services. If these aren't set up right, the installation might fail silently, or the software might not work well. Installation testing makes sure the product installs correctly and works well with the system.

It also keeps the user experience smooth. Installation is the first thing a user sees, so an error during setup can make them lose confidence right away. For businesses, installation testing stops problems after deployment, like broken files, failed upgrades, or uninstall issues that leave data behind. In big companies where software is put on hundreds of computers, these problems can cost a lot of time and money to fix.

DIMENSIONS OF INSTALLATION TESTING

Think of installation testing as checking if the software plays nicely with its new home. Most tests look at how well features work. But this checks if the program can even

work

where it's supposed to. Typically, it covers:

1. Correct Installation:

Are all the files in the right folders? Can the program find them?

2. Settings Check:

Are system settings, like environment variables and config files, set up right?

3.First Launch:

Does the program start without issues? Does it show the correct version?

4.Clean Removal & Fixes:

Does uninstalling get rid of everything? If an update goes wrong, can you easily go back?

5.Update Smoothness:

When you go from an old version to a new one, do you keep your stuff, settings, and license?

This kind of testing is different from regular testing. It's about making sure the software is ready to be used, not about checking its main features.

TESTING ENVIRONMENT AND DIVERSITY

Installation testing really depends on the setup. Software that installs fine on one computer might totally fail on another just because of small setup differences. That's why you have to test in lots of different situations.

Often, teams make test setups that mix and match operating systems (Windows, Linux, macOS), computer hardware, storage space, and network connections. Testing includes online and offline installs, users with and without admin rights, and whether things work on different platforms. Cloud systems complicate things even more - you have to make sure installs work in containers or virtual environments like AWS, Azure, or Docker.

All this variety checks if things are compatible and makes the installation process stronger, so the software is ready for anything in the real world.

DEFECTS UNCOVERED IN INSTALLATION TESTING

Article content

CONDUCTING INSTALLATION TESTING

Usually, once the build is steady and ready to go, that's when installation checks start. It goes like this:

Get Ready: Testers set up computers or online spaces that act like the systems the program is meant for. They double-check things, like enough disk space, internet, and admin rights.

Run the install: The install is done by hand or with auto-scripts. We keep an eye out for weird messages, warnings about what's needed, or if it dies suddenly.

Double-Check: After it's installed, testers check if everything is there and working right—databases, services, and program files.

Test It Out: The program is launched to make sure it works basically. Like, with a client-server thing, you test if it hooks to the server right after install.

Uninstall and Upgrade Checks: The tester uninstalls or upgrades the program to be sure it comes off clean or keeps the data safe.

Break It Time: This means on purpose doing stuff like cutting the internet during install, faking low disk space, or yanking the power to see if it can recover safely.

Going through these steps, testers can spot weak points in how the installed thing works, both for what you see and what's under the hood.

TOOLS AND AUTOMATION APPROACHES

Article content

BENEFITS OF INSTALLATION TESTING

Good installation testing gives tech teams and users some real wins:

Confident Rollouts: Know the software installs without a hitch before it goes live.

Less Support Hassle: Fewer customer complaints about setup problems.

Better Brand Image: Easy installs make you look good and build trust.

Quicker Updates, Less Downtime: Stable installers mean faster upgrades and fixes.

Happy Users: A smooth install gives a great first impression.

Easy Maintenance: Well-tested installs mean fewer problems later.

Solid Performance: Check that rollbacks work and data is safe if updates fail.

CONCLUSION

Installation testing is like the unsung guardian of good software. People don't notice it if everything goes smoothly, but they sure remember when it messes up. It makes sure the software is ready to go from the start, so users have a good experience. Basically, installation testing checks that the software is not just installable but ready for the real world.

23/10/2025

1. INTRODUCTION

In today's fast digital world, folks want apps to work right away

-

think banking, booking flights, or streaming stuff. Doing well or failing often depends on how an app handles things in the real world. Performance testing is super important.

It makes sure the software works, but also that it's fast, stable, and can grow when needed, even when things get busy. It helps catch problems before users see them, so you can be sure the system can handle whatever comes its way.

Basically, the aim of performance testing isn't to break the system; it's to see how it acts, make it faster, and get it ready for anything that might happen.

2. WHAT IS PERFORMANCE TESTING ?

Performance testing is a type of testing that checks how a system works when lots of people are using it, even at the busiest times. It looks at things like speed, if it can handle more users, if it's reliable, and how much it uses resources.

Functional testing checks if the software works, but performance testing checks if the software works well. This is a key difference. A system might do everything it's supposed to do, but if it slows down when lots of people use it, it's not going to work out.

Good performance testing checks:

How fast the app replies (response time)

How much work it can do (throughput)

If it uses system resources properly

How stable it is when there are constant or sudden changes in use

When done right, performance testing can predict problems and helps plan improvements to the system and how much it can handle.

3. WHY DOES PERFORMANCE TESTING MATTERS ?

Bad performance can make you lose users, money, and trust. Studies show that if your page takes just one second longer to load, your conversions can drop by up to 7%. A slow system isn't just annoying; it can cause problems with your infrastructure, databases, and APIs, which can lead to downtime.

Performance testing is really helpful because:

Happy Users: Faster systems make people happy and keep them coming back.

Saves Money: Finding problems early means less fixing and lower infrastructure costs.

Growth Info:

This

shows how your systems handle more users.

Avoid Problems: It helps stop failures when traffic spikes or you release something new.

Basically, performance testing makes sure your tech works well for your users.

4. WHAT MAKES PERFORMANCE TESTING WORK?

A good performance test puts together the right plan, information, and measurements. Let's check out what you need to make it happen.

a) Making a Real-World Situation

First, you’ve gotta make something that seems like people are using the system. How many

folks are in at once? How often do they ask for stuff? What kind of info are they putting in? What are they trying to do? If the test doesn't look like what real people do, the results won't be right.

b) What to Measure

Response Time: How long it takes to get an answer.

Throughput: How many things get done every second.

Latency: How long you wait before things start moving.

Resource Use: How much

of the computer's brain, memory, and other parts are being used.

Error Rate: How often things go wrong.

c) Where You're Testing

To get real answers, you need a space that’s locked down and doesn’t change. It should be

just like the real system in terms of setup, amount of info, and network.

d) Watching and Figuring Out

While the test is running, you gather info and look at it to see what's happening

-

what's slow, what's stuck, and what's weird. Current tools can hook up to monitoring systems to give you info right away.

5. TYPES OF PERFORMANCE TESTING

Article content

Performance testing covers a lot of ground, so there are different types, each looking at a particular part of how a system acts:

Load Testing: See how the system handles the usual amount of users.

Stress Testing: Checks where the system breaks by pushing it harder than normal.

Spike Testing: Checks system reaction during sudden traffic increases.

Endurance (Soak) Testing: Tests if the system stays stable over long runs.

Scalability Testing: See if the system gets better (or worse) as we add more resources.

Volume Testing: Checks how the system works when processing tons of info.

These tests are often used together to get a full understanding of how the system performs in different situations.

6. LIFE CYCLE OF PERFORMANCE TESTING

Article content

Performance testing, like functional testing, is a step-by-step thing that makes sure everything's checked and the results can be repeated.

Step 1:

Figure Out What's Needed

Get what the business wants – like how fast things should be, how many users at once, and how many transactions. Think of it like, the API needs to handle 500 requests every second and take less than 200ms.

Step 2:

Plan the Test

Decide what to test, what counts as success, which tools to use, and what to measure. The plan says which parts to test and how to tell if it did well fairly.

Step 3:

Design the Test

Make up fake scripts and situations that act like real users. This could be things like database searches, API requests, or clicking things in a program.

Step 4:

Set Up the Place

Make the servers, tools, and data look like the real ones people use.

Step 5:

Run the Test

Start small and work your way up to a full load. Watch how well everything is doing.

Step 6:

Check and Report

Figure out the data to find slow parts, memory hogs, or server limits. Reports should point out what's causing problems and how to fix them.

Step 7:

Test Again and Fix

After fixing stuff, test again to make sure it's faster. Tweaking performance isn't a one-time gig. You do it over and over.

7. POPULAR TOOLS FOR PERFORMANCE TESTING

Modern tools have simplified how performance tests are created and executed. Each has its strengths depending on the project type:

Apache JMeter:

Widely used open-source tool for load and stress testing.

LoadRunner (Micro Focus):

Enterprise-grade tool with advanced analytics.

Gatling:

Developer-friendly tool supporting continuous integration.

k6:

Lightweight and scriptable tool for cloud-native applications.

Locust:

Python-based tool for distributed load testing.

Integration with CI/CD pipelines allows continuous performance testing, enabling teams to catch degradation early in development cycles.

8. TIPS FOR GOOD PERFORMANCE TESTING

Performance testing is part tech skill and part knowing what the business needs. If you want test results you can trust:

Start early: Start testing as early as the design stage.

Know what you're aiming for: Have clear numbers for what counts as a good response time and speed.

Test bit by bit: Begin with small amounts of data and add more over time.

Copy real users: Base your tests on how people actually use the system.

Keep watching: Keep an eye on things even after the system is live to make sure it stays stable.

Teamwork is key: Developers, testers, and operations people need to talk to each other to make things better together.

Remember: Everyone, not just testers, should care about how well the system performs.

9.

HOW AUTOMATION & CI/CD HELP

Automation has totally changed performance testing, making it constant and something you can count on. When you put performance tests right into CI/CD, they can start automatically whenever you build or put out new code.

This lets businesses catch any performance problems right away, keep performance consistent, and avoid any nasty surprises right before launch.

With today's DevOps ways, you can treat performance as code. This means keeping track of test scripts, limits, and stats with the rest of your application code. This way, you know performance is tested just as well as anything else.

10. CONCLUSION

Performance testing? It's not just a step in checking if things are good - it's key to keeping users happy and business running smoothly.

Nowadays, apps win by being quick, handling lots of people, and staying reliable. A slow system can lose users fast, but a quick and steady one? That builds loyalty that lasts.

To stay in the game, companies need to keep testing performance all the time, not just once in a while. With good plans, automatic processes, and using data to learn, teams can make sure every release works well and is also fast, good, and ready for growth.

21/10/2025

EXECUTIVE SUMMARY
In present time’s digital environment software applications are using APIs (Application Programming Interfaces) more and we see that as the base of modern apps’ structure. From mobile apps which require real time info to large scale enterprise systems which trade in very important business info we have API to thank for that.
API testing is what we do to make sure that our interfaces do what they are supposed to, that they are secure, and that they perform well in a variety of situations. In this article we look at the basic tenets of API testing, the methods used, the tools which we put to use, best practices to follow, what challenges we face, and also what to expect in the future which together we hope to present a comprehensive guide for developers, testers and IT professionals.
TABLE OF CONTENTS
1.
Introduction: The Role of APIs in Modern Software
2.
Understanding API Testing
3.
Types of API Testing
4.
API Testing Lifecycle
5.
Key Tools for API Testing
6.
Best Practices in API Testing
7.
Challenges in API Testing
8.
Security Considerations in API Testing
9.
Automation vs Manual API Testing
10.
Future Trends in API Testing
11.
Conclusion and Strategic Recommendations
1. INTRODCUTION: THE ROLE OF APIs IN MODERN SOFTWARE
APIs have in large part changed the way software systems talk to each other. They put in place a framework which allows for the smooth exchange of data between different applications, platforms and services which in turn enables:.
Real-time data synchronization between systems
Integration of 3rd party services (payments, maps, analytics).
Microservices-based architectures for scalable applications
Despite the fact that APIs are a common feature we see today they are also very prone to errors, security issues and performance problems.
2. UNDERSTANDING API TESTING
In terms of testing we check that APIs in fact do what they are supposed to do, that they perform well under stress and also that they meet security requirements.
API Testing which is also known as API development testing or service testing
is about validating business logic, performance, reliability, and security of APIs as opposed to their graphical interface. Key aspects are:.
Functional Testing: Confirms that proper responses are given at endpoint.
Load & Performance Testing: Tests API performance at high traffic or concurrent use.
Security Testing: Ensures that APIs are secure against unauthorized access and attacks.
Error Handling Testing: Reviews API responses for out of range or unknown inputs.
In contrast to UI testing which issues go unnoticed until later stages of development, in API testing we see problems early which in turn reduces cost and increases software reliability.
3. TYPES OF API TESTING
API testing includes a variety of methods which depend on the testing goals:.
3.1
Functionality Testing
Tests if API endpoints perform as they should.
Validates HTTP methods (GET, POST, PUT, DELETE) and response codes.
Ensures proper implementation of business rules.
3.2
Performance Testing
Measures response time, throughput, and latency.
Tests API scalability under concurrent loads.
Identifi es performance bottlenecks before production release.
3.3
Security Testing
Verifi es authentication and authorization mechanisms.
Tests of for SQL injection, XSS, and data leakage.
Ensu
r
es proper implementation of encryption protocols (e.g. HTTPS, OAuth tokens).
3.4
Reliability and Fault Tolerance:
Ensures APIs handle invalid requests gracefully.
Validates for correct error messages and codes (e.g. 400, 401, 500).
Validates retries and fault tolerance mechanisms.
3.5
Compliance Testing
Reviews for compliance with industry standards (REST, SOAP, GraphQL).
Ensures API's terms of service and data structures are adhered to.
4. API TESTING LIFECYCLE
A systematic approach ensures comprehensive coverage:
Requirement Analysis: Understand API features, outposts, variables and business logic.
Test Planning: Identify what to study, which tests to run, what tools to use and what will be the signs of success.
Test Case Design: Develop input variables and expected results, also design test scenarios.
Environment Setup: Prepare infrastructure, databases, authentication tokens and test data.
Test Ex*****on: Run functional, load, security and negative tests.
Defect Reporting: Log issues, identify root causes, and work with developers.
Regression Testing: After each update run tests.
Continuous Monitoring: Post deployment monitoring for real time performance and security.
5. KEY TOOLS FOR API TESTING
Several modern tools simplify API testing:
Tool
Purpose
Features
Postman
Manual and automated testing
Endpoint testing, collections, scripting, reports
SoapUI
Functional and security testing
SOAP & REST support, load testing, assertion checks
JMeter
Performance testing
Simulate high traffic, stress testing
Rest Assured
Automation
Java-based framework, BDD-style testing
Newman
CLI runner for Postman
Integration with CI/CD pipelines
Swagger / OpenAPI
API documentation & validation
Auto-generates test scripts from API specs
6. BEST PRACTICES IN API TESTING
Understand API Specifi cations Thoroughly: Read API docs, contracts, and sample responses.
Test Edge Cases: Include invalid inputs, boundary values, and unexpected data.
Use Automation for Regression: Automated scripts reduce manual effort and improve reliability.
Maintain Test Data Consistency: Keep separate environments for dev, test, and production.
Monitor Logs and Metrics: Capture API response times, error rates, and throughput.
Validate Security: Always test authentication, authorization, and encryption.
7. CHALLENGES IN API TESTING
Complexity of Microservices: Interdependent APIs make test coverage difficult.
Data Dependencies: APIs often rely on specifi c database states.
Frequent Changes: Continuous development can break existing endpoints.
Authentication & Authorization: OAuth, JWT, and API keys add complexity.
Environment Management: Different staging setups may affect test results.
8. SECURITY CONSIDERATIONS
API security is critical due to their exposure to external clients:
Authentication: Ensure proper identity verifi cation (OAuth 2.0, API keys).
Authorization: Limit access to allowed operations and data.
Input Validation: Prevent injection attacks and malformed requests.
Encryption: Use HTTPS/TLS to protect data in transit.
Rate Limiting: Prevent DDoS and resource abuse attacks.
9. AUTOMATION vs MANUAL TESTING
Manual Testing:
Pros: Quick initial checks, exploratory testing
Cons: Time-consuming, error-prone, not scalable
Automated Testing:
Pros: Repeatable, CI/CD integration, handles large test suites
Cons: Requires upfront scripting and maintenance
Recommendation:
Combine both approaches - manual for exploratory and edge cases, automation for regression, performance, and routine testing.
10. FUTURE TRENDS
1.
AI-Assisted Testing: Predict failures, generate test cases, and optimize scripts automatically.
2.
Shift-Left Testing: Integrating API testing early in DevOps pipelines.
3.
Contract Testing: Verifying APIs against formal specifications (OpenAPI/Swagger).
4.
Security-First API Design: Embedding security testing in development cycles.
5.
Serverless API Testing: Testing cloud-based, event-driven APIs efficiently.
11. CONCLUSION AND STRATEGIC RECOMMENDATIONS
API testing is no longer optional, it is central to software reliability, security, and user experience. Well-tested APIs ensure seamless integration, reduce production failures, and improve business agility.
Key Takeaways:
Understand API specifications fully before testing.
Cover functional, performance, security, and error-handling scenarios.
Automate repetitive testing tasks while maintaining manual checks for edge cases.
Incorporate testing early in the development lifecycle for continuous quality.
Monitor APIs post-deployment to maintain performance and security.
By implementing robust API testing strategies, organizations can deliver reliable, secure, and high-performance software systems that meet modern digital demands.