Software testing is a comprehensive umbrella term for a wide variety of different types of testing. These testing types are categorized based on the purpose, AUTs, or approach. Understanding how these types of QA testing work will help you and your team better develop the test plan.
In this article, we will learn how the testing types are categorized, 15 most popular testing types, and their place in the Software Testing Life Cycle. Specifically, we will explore:
There are 6 major ways we can categorize (or name) testing types:
There is a hierarchy to these categories, with the most inclusive being categorization by approach. For example, automated testing is simply testing with the help of automation scripts or tools, and we can automate almost any other types of testing.
Unit testing is a critical software development practice. It involves testing small parts of a software application in isolation, such as functions, methods, modules, or classes. These individual units make up the entire application, and if they don't function properly on their own, they won't work well together. Unit testing ensures that each component works correctly before integrating it into the larger system.
A unit test usually requires:
Read More: What is Unit Testing? A Complete Guide
Integration testing is a software testing method where components are combined and tested together as a whole. These components have passed unit testing, which means that they work well independently, but issues may arise when they interact with each other. Testers use integration testing to uncover defects that arise from code conflicts when the modules are integrated.
There are several strategies to perform integration testing, with the 2 most common approaches being:
Incremental Approach is carried out by 3 different methods:
Read More: What is Integration Testing?
End-to-end testing, also referred to as E2E testing, is a software testing technique that verifies the functionality and performance of an entire software application from start to finish by simulating real-world user scenarios and replicating live data.
Thanks to end-to-end testing, testers gain insights into how the application functions from the end user’s perspective, giving them a more comprehensive understanding of the software quality before release.
Manual testing is the process of assessing software or applications by human testers without relying on automated testing tools or running test scripts. Testers interact with the system just like how end users would to discover bugs, defects, and problems that affect the user experience.
Manual testing is the traditional way of doing software testing. It is resource-intensive, time-consuming, and generally not scalable, which is why many QA testers have moved to automation testing to boost efficiency. However, in certain cases manual testing still shines through, especially when we add to include some creativity and human intuition into the process. For example, these QA testing types must be conducted manually:
Automated testing, in contrast with manual testing, uses automation frameworks and automation testing tools to automatically run a suite of test cases. The entire process from test creation to execution is done with little human intervention, helping to reduce manual effort while increasing testing accuracy and efficiency.
Read more: What Is Automation Testing? Ultimate Guide & Best Practices
AI testing is the evaluation of a system's functionality, performance, and reliability using AI. It follows the same traditional Software Testing Life Cycle, but all of its stages have been significantly improved by AI techniques such as Machine Learning, NLP, or Computer Vision, assisting QA teams in advanced tasks that previously required human intelligence such as data analysis, planning, and decision making.
Several powerful ways AI can help testers include:
Functional testing is a phase where quality engineers confirm if the tested application's features work according to their specified requirements. We can perform it either manually or with automated tools based on the specific test cases. Several examples of functional test cases include:
Read More: Top 8 Automated Functional Testing Tools
Visual testing is a software testing technique that focuses on verifying the visual aspects of an application's user interface (UI). It involves examining the graphical elements, layout, and overall appearance of the software to ensure that it matches the expected design and behavior.
Testers have to perform tests for many aesthetic aspects of a visual element, including:
Normally testers have to rely on their own eyes to spot those bugs. If they decide to write automation scripts to do visual testing, they’ll follow the screenshot comparison approach. It involves comparing a reference or baseline image of the desired user interface (UI) with the actual UI to identify any pixel differences between them. This means even visual bugs as tiny as 1 single pixel can’t escape this method.
However, sometimes pixel differences do not necessarily mean visual bugs. For example, all websites and applications have dynamic elements that change frequently such as date, time, or the Cart icon on eCommerce websites. Visual automation test scripts register those changes as bugs, but real users don’t think so. This is why testers really need AI-augmented visual testing tools that know how to distinguish from bugs that truly impact users and bugs that do not.
Performance testing is a type of software testing that assesses the performance and responsiveness of a software application under various conditions. Its main objective is to identify and measure the system's behavior in terms of speed, stability, scalability, and resource usage.
There are several subtypes of performance testing:
Regression testing is a type of software testing conducted after a code update to ensure that the update introduced no new bugs. This is because new code may bring in new logic that conflicts with the existing code, leading to defects. Usually QA teams have a series of regression test cases for important features that they will re-execute each time these code changes occur to save time and maximize test efficiency.
Compatibility testing is a type of QA testing that ensures a software application functions correctly across different environments, devices, browsers, and operating systems. The primary objective of compatibility testing is to verify that the application remains consistent and usable across a variety of configurations. This means that there are several terms for different scopes of compatibility testing, including:
Accessibility testing is the process of evaluating if software, websites, or digital content can be used by people with special needs or challenges due to impairments. This testing type aims to find and fix barriers in the application that may hinder these individuals from effectively using and accessing the digital product. In accessibility testing, we validate the accessibility or availability of:
Smoke Testing and Sanity Testing are two types of software testing that are performed to quickly assess the basic functionality of an application. They are often conducted to determine if further testing is needed. Simply put, these 2 testing types are quite similar in scope.
Aspect | Smoke Testing | Sanity Testing |
Objective | Verify critical functionalities. | Validate recent changes or fixes. |
Scope | Broad, covers major functionalities. | Limited, focuses on specific areas affected by recent changes. |
Depth | Shallow and brief. | Limited regression testing. |
Purpose | Identify show-stopper issues. | Confirm recent changes did not cause major defects. |
Execution Time | Quick and executed after each build. | Quick and executed after each small release or bug fix. |
Decision | Determine if further testing is possible. | Determine if the application is stable for comprehensive testing. |
Relationship | Precedes more comprehensive testing. | Subset of regression testing. |
Outcome | Pass indicates basic functionalities work. | Pass indicates recent changes are stable. |
Failure Handling | Fail requires further investigation before detailed testing. | Fail needs further investigation and fixes before complete regression testing. |
Read More: Sanity Testing vs Smoke Testing
White box testing examines the internal structure of the software application, similar to how we can easily see the inside of a white box. On the other hand, black box testing focuses on validating the application's functionality without knowledge of the internal code or implementation details, similar to how the inside of a black box can’t be seen.
For each type of application under test (AUT), there is a different term. The most common testing types for AUTs include:
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