The Different Types of Software Testing: A Comprehensive Overview

Mobile applications and websites play a crucial role in helping organizations connect with their customers; this makes it essential to build an application or website that functions well. A critical aspect that makes this possible is testing.

Testing helps ensure the application is stable, its code works well and meets all the users' requirements. However, there are different software testing types with their unique purpose. These software testing types affect various aspects of the development process, from inception to production.

With so many different software testing types, it's essential to get a clear understanding of each one. This blog will explore two fundamental software testing types: Functional and Non-Functional, and all the tests under them.

What are The Different Types of Testing?

Functional Testing

Unit Testing

Developers run unit tests during the application's development phase to ensure individual components or sections of code function well. This software testing type helps developers catch bugs and uncover specific issues before the app can go to the QA teams. 

The simplest example of a unit test is when a developer runs a unit test on a calculator app. The purpose of this test will show the developer if entering two numbers produces the correct response. Two types of tests that come under Unit testing are:

a) White Box Testing

White box tests help developers check the output of an action on an app and the code that is responsible for the output. Developers run this test to check for faults in the business logic and verify the code's integration with the app's infrastructure.

b) Gorilla Testing

Developers run Gorilla tests to ensure the practical functionality of specific modules within an application. The main objective is to check for faults in module installation and address them. Developers run this test manually.

Integration Testing

Integration testing usually involves testing a group of modules of an application. The goal of this software testing type is to check for any defects or bugs in the interfaces between these modules. This type of testing adds value to the Unit tests.

A test that comes under Integration testing is:

a) Gray box testing

Gray box testing is a testing technique developers use to test an application. It involves having partial knowledge of the structure of the application. It helps developers identify problems with code or the use of the application.

System Testing

System testing involves running tests on the entire system to check if it meets specific requirements. System tests evaluate all the modules that have passed the integration tests. System testing includes these software testing types:

a) End to End Testing

Testers run end-to-end tests to check the app's capabilities in real-world settings, like using network communications, interacting with a database, applications, or other hardware. These test results help the tester validate an app and its internal systems before launch. 

b) Black Box Testing

Black box testing involves testing the functionalities of an app without knowing the internal design, code, system, or structure. Its primary focus is on the input and output of the app based on software specifications and requirements.

c) Smoke Testing

Smoke testing ensures the stability of the deployed software build. It is a confirmation to the QA teams that the build is ready for further testing. The main goal is to check if the app's essential features work perfectly well and that there aren't any bugs in the software. 

d) Sanity Testing

Sanity testing, a subset of regression tests, is a software test that ensures that bug fixes or newly added functionalities work fine. Testers run sanity tests to confirm the stability of the build. 

e) Happy path Testing

Happy path testing involves testing an application through a positive flow. The tester runs scripted test scenarios that a user would perform to check if the application generates expected outputs without breaking functionality. 

f) Monkey Testing

Monkey tests run with the assumption that a monkey is using the app. If this were the case, a monkey would use the app, entering random values and inputs without understanding the application.

This test aims to check if the application crashes when testers provide it with random values/inputs. Testers perform this test at random; they do not have scripted test cases and do not have to be fully aware of the system functionality.

Acceptance Testing

Acceptance testing helps check the app's functionality concerning business requirements and assess if it's ready for delivery. The client can accept that app if it meets specific acceptance criteria. User Acceptance Testing (UAT) is the last software testing phase before production.

a) Alpha Testing

Alpha testing helps validate the functionality of a new app. The internal staff carries out alpha tests early on in the development process. The goal is to identify and eliminate defects before releasing the software.

b) Beta Testing

The clients/customers/users run beta tests. They perform these tests in real environments before the organization officially releases the product into the market. This test aims to ensure that no errors remain in the product and that it meets all business requirements from the user's perspective.

An example of a beta testing is when games are pre-released on the Play or App Store. The developers release these games to get user feedback, identify glitches, fix the errors, and release the app with all issues resolved.

c) Operational acceptance testing (OAT)

Operational acceptance testing, or OAT, helps system administrators ensure their systems continue to work well. They test the backup and restore features, user management, maintain the software, update recovery processes, keep tabs on the installing and uninstalling aspects, and ensure software upgrades.

Non-Functional Testing

Security Testing

Security testing involves identifying flaws in the security systems of an app or website. This software testing type helps prevent security breaches and keeps the software secure from viruses and malicious programs. It also helps check the security and strength of the authentication and authorization processes. 

a) Penetration Testing

Penetration testing, also called Pen testing, is the intentional authorization of a cyberattack on the system. The idea behind this is to find out the system's vulnerabilities regarding security. 

Ethical hackers usually perform Pen testing, which is also called ethical hacking. They perform URL manipulation, session expiry, SQL injection, Privilege Elevation, and more.

Performance Testing

Performance testing tests an application's response time and stability under load. Testers run performance tests to check app speed, reliability, and overall health. This test aims to eliminate performance bottlenecks and ensure the app meets the required service levels and a positive user experience. 

a) Load testing

As the name suggests, load testing involves putting an application through a specific load to check its stability and response time. This load helps identify the app's behavior when multiple users simultaneously access it. 

For example, if your application can handle 1000 users with a response time of 3 seconds, you would run load testing to check if your app meets this expectation or falls short.

b) Stress Testing

Stress testing tests an application's ability to maintain its level of effectiveness under stress or load. With stress testing, testers run an application through extreme conditions to check its functionality.

Continuing the earlier example of your application handling 1000 users at a response time of 3 seconds, you would test your application's performance with 10,000 users and track its stability and response time with stress testing.

c) Scalability Testing

As the name suggests, scalability testing tests the application's ability to scale up or down in response to more users. To put it simply, it checks the application's performance when the number of users drastically increases or decreases.

If your application can handle 1000 users at a response time of 3 seconds, what happens when you introduce 1500 or 5000 users? Would this affect the response time? Scalability testing helps note under what load the application crashed so that the team can work to fix it.

d) Volume testing

Volume testing subjects software to massive volumes of data to analyze the system's performance. The goal is to check the impact on response time and system stability. 

e) Endurance Testing

Endurance testing tests an application's ability to endure heavy loads for long periods. The goal is to check if the application's performance drops or if it loses its stability. 

Automobile companies run endurance tests to check if their users can use the particular automobile without experiencing difficulties, continuously for hours.

Usability Testing

Usability testing helps testers check if their application is user-friendly and easy to use. The test focuses on the users and if they can use the application with ease. 

a) Exploratory testing

Exploratory testing relies on an individual tester and his ability to explore the application to identify otherwise not easily found defects. Testers will need to use their business domain knowledge to explore the application.

This testing allows users to explore the user story by themselves. They can add assertions, annotate defects, and create voice memos and documentation to help QA teams better understand the faults in the application. 

b) Cross-browser testing

Testers running cross-browser tests use it to test their application on different operating systems, browsers, and mobile devices. This test aims to check how the application performs on various platforms. Cross-browser testing is essential because users access apps and websites on different devices. If your application has bugs on one platform, you can lose many users. 

The HeadSpin Platform gives you access to real devices so you can connect to different browsers and operating systems. It integrates into your CI/CD workflows, enabling functional and performance testing pre and post-release. It also fully supports all testing frameworks, including native Appium.

c) Accessibility Testing

Making applications accessible for ones with disabilities is very important. Accessibility testing ensures that your application meets all the requirements for accessibility.

It is essential to check if your application meets the disability requirements for mental disability, visual impairment, deafness, and others.

Compatibility testing

As the name suggests, compatibility testing helps check if your application runs well on different browsers, databases, configurations, network environments, web servers, hardware, and more.

Types of Manual Testing

This section can include an overview of the following types of manual testing:

• Exploratory Testing: Focus on testers exploring the software and finding issues without specific test cases, often used for new and rapidly changing applications.
• Ad-hoc Testing: A type of informal testing with no structured approach, allowing testers to discover unexpected issues.
• Regression Testing: Manually re-test previously tested functionalities to ensure they work as expected after code changes.
• User Acceptance Testing (UAT): A final testing phase where users test the software to ensure it meets their requirements.

Types of Automation Testing

This section can include an overview of automation testing types that improve efficiency and consistency:

• Regression Testing: Automated re-testing of the application after changes to verify existing functionality remains unaffected.
• End-to-End Testing: Testing entire workflows through automation to ensure the application functions from start to finish as expected.

Types of Continuous Testing

This section can cover the types of testing involved in continuous integration and continuous delivery (CI/CD) pipelines:

• Continuous Unit Testing: Running unit tests automatically with each code commit to ensure immediate feedback on code changes.
• Continuous Integration Testing: Automated tests are executed during integration to verify that new code integrates smoothly with the existing codebase.
• Continuous Regression Testing: Regular re-testing of the entire application to catch regressions as soon as they occur within the CI/CD pipeline.
• Continuous Performance Testing: Ongoing testing to assess performance metrics in real-time and ensure the application meets performance standards.
• Continuous Security Testing: Frequent automated security tests to detect vulnerabilities early in the development process.

These sections provide a structured, in-depth look at each testing type and how they contribute to software quality in different scenarios. Let me know if you'd like me to elaborate further on any specific area.

How to Automate Your Tests

Automating software tests can drastically improve the efficiency and reliability of your testing process. Here’s a step-by-step approach to effectively automate your tests:

Select the Right Automation Tools

Start by choosing the right test automation tools based on the type of application (web, mobile, desktop) and the technology stack. Tools like Selenium, Appium, TestNG, and HeadSpin’s AI-based automation platform are commonly used for test automation.

Identify Repetitive Test Cases

Focus on automating repetitive and time-consuming test cases. Functional tests, regression tests, and smoke tests are ideal candidates for automation, as they need to be executed frequently with consistent outcomes.

Design Test Automation Framework

Build a robust automation framework tailored to your project needs. Frameworks like data-driven, keyword-driven, and behavior-driven (BDD) allow for modular, scalable, and reusable automation scripts, which can be maintained easily.

Create Automated Test Scripts

Leverage the chosen framework to write automated test scripts using Java, Python, or JavaScript. These scripts should interact with the UI or APIs to perform actions and verify outcomes based on predefined test cases.

Integrate with CI/CD Pipelines

Integrate your test automation suite with CI/CD pipelines for continuous testing. Tools like Jenkins or CircleCI allow automated tests to run whenever a code change occurs, ensuring bugs are caught early in the development lifecycle.

Advantages of Software Testing

Software testing is vital to the SDLC, ensuring the delivery of high-quality products. Below are the key advantages of software testing:

1. Improved Product Quality: Testing identifies bugs and defects early in development, ensuring that the final product meets the desired quality standards.
2. Enhanced Customer Satisfaction: By delivering reliable and user-friendly software, organizations can boost customer satisfaction and trust.
3. Cost Savings: Detecting and fixing defects during development is less expensive than addressing them post-deployment.
4. Increased Security: Security testing helps identify vulnerabilities, protecting the software and user data from potential cyber threats.
5. Facilitates Smooth Functionality: Testing ensures the software performs as intended across various devices, platforms, and environments.
6. Compliance with Standards: Software testing ensures compliance with industry standards and regulations, reducing legal risks.
7. Improved Performance: Performance testing ensures the software can handle high loads, maintain stability, and operate efficiently under different conditions.
8. Supports Continuous Improvement: Regular testing provides insights into areas for improvement, helping developers refine and enhance the software.

Disadvantages of Software Testing

While software testing is indispensable, it also comes with certain drawbacks that organizations need to consider:

1. Time-Consuming: Thorough testing can extend the development timeline, especially for complex projects.
2. High Costs: Comprehensive testing requires skilled professionals, specialized tools, and resources, which can be expensive.
3. Incomplete Coverage: It is challenging to test every possible scenario, which can lead to undetected bugs in rare cases.
4. Dependency on Skilled Testers: Effective testing requires experienced testers, and a lack of expertise can compromise testing quality.
5. Automation Limitations: Automated testing cannot replicate every aspect of human interaction, making manual testing indispensable in certain scenarios.
6. Resource Intensive: Testing demands significant resources, including hardware, software, and human effort, which can strain smaller organizations.
7. Risk of Overconfidence: A successfully tested product might create false security, leading to complacency in post-release monitoring.
8. Potential for Delays: Unexpected issues discovered during testing can delay product releases, impacting market entry timelines.

Principles of Software Testing

Software testing principles are foundational guidelines that help conduct various types of testing effectively. These principles ensure testing efforts are focused and aligned with the SDLC's goals.

1. Testing Shows Presence of Defects: Testing can only confirm the presence of defects, not their absence. Even when no defects are found, claiming flawless software is impossible. Each type of testing you employ should aim to uncover different issues, thereby increasing the quality of the product.
2. Exhaustive Testing is Impossible: Testing every possible scenario is challenging. Instead, focusing on the most critical and high-risk areas through different types of testing can help identify significant issues without overextending the testing process.
3. Early Testing: Initiating testing early in the software development lifecycle, particularly using methods like unit and integration testing, can significantly reduce the cost and time required to fix defects. Different types of testing at various stages ensure comprehensive coverage.
4. Defect Clustering: Experience shows that most defects are often found in a few modules. Prioritizing these modules for testing, particularly through regression and functional testing, can lead to more effective bug detection.‍
5. Pesticide Paradox: Repeating tests eventually leads to diminishing returns as the same defects are found. To counter this, it's important to continually update and diversify test cases, exploring different types of testing to uncover new issues.

Read: The Ultimate Guide to Test Automation - Best Practices and Beyond

What are Software Testing Techniques and How are They Different from Testing Types?

Introduction to Software Testing Techniques

Testing techniques are specific procedures used to ensure that software behaves as expected. Unlike testing types, which categorize tests based on what they evaluate (like functionality, performance, or security), testing techniques focus on how testing is conducted. Techniques can apply across different testing types, optimizing tests' efficiency and effectiveness.

Overview of Various Techniques and Their Relation to Testing Types

• Static vs. Dynamic Testing: Static testing involves reviewing the code without executing it (e.g., walkthroughs, and inspections), whereas dynamic testing involves executing the code and observing outputs.
• Black-box Testing: This technique focuses on the input and output of software systems without knowing the application's internal workings. It applies to most types, such as functional, integration, and system testing.
• White-box Testing: Known as clear or glass box testing, it involves looking inside the software structure and is based on coverage of code statements, branches, paths, and conditions.

Examples of Technique Applications

• Equivalence Partitioning: Used in functional testing to reduce the number of test cases by dividing inputs into groups expected to exhibit similar behavior.
• Boundary Value Analysis: Often used in performance testing to explore the limits of software capabilities by testing at the upper and lower ends of input values.

Manual vs. Automated vs. Continuous Testing

Definition and Differences

• Manual Testing: Testers manually operate and verify the software for defects. It's flexible but time-consuming and can be prone to human error.
• Automated Testing: Uses software tools to run tests automatically, repeat them, and compare expected and actual outcomes. Ideal for regression tests and large-scale tests but can be expensive to set up.
• Continuous Testing: Part of the Continuous Integration/Continuous Delivery (CI/CD) pipeline, where tests are automatically triggered every time a change is made to the codebase.

Pros and Cons

• Manual Testing: Pro: Allows for real user feedback; Con: Less efficient.
• Automated Testing: Pro: Faster and more reliable over multiple iterations; Con: High upfront cost.
• Continuous Testing: Pro: Immediate feedback on the impact of changes; Con: Requires a mature development process.

Choosing the Right Approach

Selecting between these methods depends on several factors like: project size, budget, criticality, and the stage of development. A combination of these approaches is often used to leverage their benefits.

Seven Principles of Software Testing

Introduction to the Principles

The seven software testing principles are guidelines that help testers manage the complexities of testing activities and improve testing effort quality.

Exploring Each Principle

1. Testing Shows Presence of Defects: Testing can show defects are present but cannot prove that no defects exist.
2. Exhaustive Testing is Impossible: Instead of attempting to test everything, prioritize tests based on risk and importance.
3. Early Testing: The earlier testing is started in the SDLC, the more cost-effective it is to fix defects.
4. Defect Clustering: Defects are often grouped; identifying one defect means more may be nearby.
5. Pesticide Paradox: Running the same tests repeatedly will stop finding new bugs; tests must be reviewed and revised.
6. Testing is Context Dependent: Testing is influenced by the context in which the software operates, like safety-critical software vs. commercial software.
7. Absence-of-Errors Fallacy: Just because no defects are found doesn't mean the software is ready for production.

Implications

Understanding these principles helps testers optimize their strategy, ensuring thorough and effective testing practices that align with business goals and project requirements.

Read: The Transformative Impact of AI-powered Automation on QA Software Testing

Conclusion

Testing to check if your users can use your application smoothly is essential. However, it is equally important to test your application's functionality in unexpected scenarios. Anticipating human errors is fundamental to creating a good user experience.

Remember, tests are code. So, it's essential to review them. Testing your application's security is vital to building trust with the user. And finally, testing your application beyond its limit will help you understand its actual capability.

The HeadSpin Platform provides you with a global device infrastructure that can help you test your website & apps on real devices across the world.

And finally, tests are code too! So don't forget them during code review, as they might be the final gate to production.

Connect now!

FAQs

Q1. Is UI testing backed by AI more beneficial than manual testing?

Development teams notice improved workflows and shorter release cycles through automation for UI testing. Further, automation helps reduce costs, streamlines review processes, and delivers actionable insights. While manual testing impacts the development process, automation ensures higher quality with a minimum baseline.

Q2. What are the steps of functional testing?

Functional testing generally follows the following steps:

1. Determining the product's functionality that the testers need to test.
2. Creating input data, according to requirements, for functionalities that require testing.
3. Determining output parameters according to outlined conditions.
4. Executing the test cases.
5. Comparing the actual output with what the conditions outlined.

Q3. Is integration testing the same as functional testing?

Testers perform functional testing to validate all functionalities of an application, while integration testing helps validate the interaction across modules and verify that they work well when compiled.

Q4. What challenges does mobile testing help counter?

Mobile testing tests the performance of an app against issues like network problems (3G, 4G, Wi-Fi, and even 2G sometimes), simultaneous use of apps, memory leakage issues, memory leakage problems, and battery consumption issues. It also checks the compatibility with different operating systems and platforms.