Preparing for a software testing interview can be daunting, but with the right preparation, you can walk in with confidence. This guide provides you with 60+ essential questions and answers that cover everything from basic to advanced topics, ensuring you're ready for any question that comes your way.
Our questions are carefully selected and categorized into 3 sections: Beginner level - Intermediate level - Advanced level. At the end we have also included valuable tips, strategies, and helpful resources to answer tricky interview questions better, as well as suggest some more personal questions that aim to uncover your previous experience in the field for you to prepare.
By thoroughly preparing with these 60+ essential software testing interview questions and answers, you can confidently tackle any interview. Remember, understanding the concepts and being able to apply them in real-world scenarios is key. Good luck with your interview
1. What is software testing?
Software testing is a critical process used to evaluate the quality, functionality, and performance of software before its release. This process ensures the software meets all specified requirements and is free of defects. For instance, in functional testing, you might verify that a login feature works as expected by entering valid and invalid credentials.
Testers carry out this process either by interacting with the software manually or running test scripts to automatically check for bugs and errors, ensuring that the software functions as intended. Additionally, software testing is conducted to verify the fulfillment of business logic and identify any gaps in requirements that require immediate attention.
There are 2 primary approaches to software testing:
Product quality should be defined in a broader sense than just “a software without bugs”. Quality encompasses meeting and surpassing customer expectations. While an application should fulfill its intended functions, it can only attain the label of "high-quality" when it surpasses those expectations. Software testing does exactly that: it maintains the software quality at a consistent standard, while continuously improving the overall user experience and identifying areas for optimization.
Read More: What is Software Testing? Definition, Guide, Tools
The Software Testing Life Cycle (STLC) is a systematic process that QA teams follow when conducting software testing. The stages in an STLC are designed to achieve high test coverage, while maintaining test efficiency.
There are 6 stages in the STLC:
Usually the software being tested is still in the staging environment where no usage data is available. Certain test scenarios require data from real users, such as the Login feature test, which involves users typing in certain combinations of usernames and passwords. In such cases, testers need to prepare a test data set consisting of mock usernames and passwords to simulate actual user interactions with the system.
There are several criteria when creating a test data set:
Shift left testing is a software testing approach that focuses on conducting testing activities earlier in the development process. This approach involves moving all testing activities to earlier development stages instead of waiting until the final stages. Its purpose is to be proactive in identifying and resolving defects at an early stage, thereby preventing their spread throughout the entire application. By addressing issues sooner, the cost and effort needed for fixing them are reduced.
On the other hand, shift right testing, also known as testing in production, focuses on conducting testing activities after the development process. It involves gathering insights from real user feedback and interactions after the software has been deployed. Developers then use those insights to improve software quality and come up with new feature ideas.
Below is a table comparing shift left testing vs shift right testing:
Aspect |
Shift Left Testing |
Shift Right Testing |
Testing Initiation |
Starts testing early in the development process |
Starts testing after development and deployment |
Objective |
Early defect detection and prevention |
Finding issues in production and real-world scenarios |
Testing Activities |
Static testing, unit testing, continuous integration testing |
Exploratory testing, usability testing, monitoring, and feedback analysis |
Collaboration |
Collaboration between developers and testers from the beginning |
Collaboration with operations and customer support teams |
Defect Discovery |
Early detection and resolution of defects |
Detection of defects in production environments and live usage |
Time and Cost Impact |
Reduces overall development time and cost |
May increase cost due to issues discovered in production |
Time-to-Market |
Faster delivery due to early defect detection |
May impact time-to-market due to post-production issues |
Test Automation |
Significant reliance on test automation for early testing |
Test automation may be used for continuous monitoring and feedback |
Agile and DevOps Fit |
Aligned with Agile and DevOps methodologies |
Complements DevOps by focusing on production environments |
Feedback Loop |
Continuous feedback throughout SDLC |
Continuous feedback from real users and operations |
Risks and Benefits |
Reduces risks of major defects reaching production |
Identifies issues that may not be apparent during development |
Continuous Improvement |
Enables continuous improvement based on early feedback |
Drives improvements based on real-world usage and customer feedback |
Learn More: What is Shift Right Testing? A Detailed Explanation
Aspect |
Functional Testing |
Non-Functional Testing |
Definition |
Focuses on verifying the application's functionality |
Assesses aspects not directly related to functionality (performance, security, usability, scalability, etc.) |
Objective |
Ensure the application works as intended |
Evaluate non-functional attributes of the application |
Types of Testing |
Unit testing, integration testing, system testing, acceptance testing |
Performance testing, security testing, usability testing, etc. |
Examples |
Verifying login functionality, checking search filters, etc. |
Assessing system performance, security against unauthorized access, etc. |
Timing |
Performed at various stages of development |
Often executed after functional testing |
A test case is a specific set of conditions and inputs that are executed to validate a particular aspect of the software functionality, while a test scenario is a much broader concept, representing the real-world situation being tested. It combines multiple related test cases to verify the behavior of the software.
If you don't know which test cases to start with, here are the list of popular test cases for you. They should give you a good foundation of how to approach a system as a tester.
A defect is a flaw in a software application causing it to behave in an unintended way. They are also called bugs, and usually these terms are used interchangeably, although there are some slight nuances between them.
To report a defect/bug effectively, there are several recommended best practices:
The defect/bug life cycle encompasses the steps involved in handling bugs or defects within software development. This standardized process enables efficient bug management, empowering teams to effectively detect and resolve issues. There are 2 approaches to describe the defect life cycle: by workflow and by bug status.
The flow chart above illustrates the bug life cycle, following these steps:
When reporting bugs, we should categorize them based on their attributes, characteristics, and criteria for easier management, analysis, and troubleshooting later. Here is a list of basic bug categories that you can consider:
Learn More: How To Find Bugs on Websites
Automated testing is highly effective for large-scale regression testing with thousands of test cases that need to be executed repeatedly. Unlike human testers, machines offer unmatched consistency and accuracy, reducing the chances of human errors.
However, manual testing excels for smaller projects, ad-hoc testing, and exploratory testing. Creating automation test scripts for such cases requires more effort than simply testing them manually, mainly for two reasons:
Furthermore, in smaller projects, it may be challenging to determine if a test case is repetitive enough to be automated. At the early stage, maintaining automated tests can be more demanding than executing them manually. Hence, the decision on whether to automate heavily relies on business requirements, time, resource constraints, and software development project objectives.
Read More: Manual Testing vs Automation Testing
A test plan is like a detailed guide for testing a software system. It tells us how we'll test, what we'll test, and when we'll test it. The plan covers everything about the testing, like the goals, resources, and possible risks. It makes sure that the software works well and is of good quality.
Regression testing is a type of software testing conducted after a code update to ensure that the update introduced no new bugs. It involves repeatedly testing the same core features of the application, making the task repetitive by nature.
As software evolves and more features are added, the number of regression tests to be executed also increases. When you have a large codebase, manual regression testing becomes time-consuming and impractical. Automated testing can be executed quickly, allowing faster feedback on code quality. Automated tests eliminate risks of human errors, and the fast test execution allows for higher test coverage.
Automated testing (or automation testing) brings a wide range of benefits, but automation testing tools take that to the next level.
There are 2 ways to do automation testing: either they shop around for a solution vendor for a software offering the test framework they need, or build an open-source test framework by themselves in-house. Building an entire tool from scratch gives the QA team complete control over the product, but the level of engineering expertise required to achieve that is huge, and you must continuously maintain the tool. In contrast, buying an automated testing tool from a vendor saves you from all of that burden, and you can start testing immediately.
Many other advantages of automation testing tools include:
When choosing an automation testing tool, we should always consider the team’s specific needs, resources, and future scalability. Have a look at the top 15 automation testing tools on the market currently.
The test pyramid is a testing strategy that represents the distribution of different types of automated tests based on their scope and complexity. It consists of three layers: unit tests at the base, integration tests in the middle, and UI tests at the top.
Unit tests form the wide base of the pyramid. They focus on testing small, independent sections of code in isolation. These tests are fast and cost-effective as they verify individual code units and can be written by developers in their coding language.
The middle part is API tests and integration tests, which focus on testing the data flow between software components and external systems. The narrow wedge at the top represents UI tests. These tests are the most expensive and time-consuming because they verify the application's user interface and interactions between various components. They are performed later in the development cycle and are more prone to becoming fragile when minor changes in the unit level code cause widespread errors in the application.
The test pyramid encourages a higher number of low-level unit tests to ensure the core functionality is working correctly, while the smaller number of high-level UI tests verifies the overall application behavior but at a higher cost and complexity. Following this approach helps teams achieve comprehensive test coverage with faster feedback and reduced testing efforts.
Black-box testing focuses on testing the functionality of the software without considering its internal code structure or implementation details. Testers treat the software as a "black box," where they have no knowledge of its internal workings. The goal is to validate that the software meets the specified requirements and performs as expected from an end-user's perspective.
Read More: What is Black Box Testing? A Detailed Guide
White-box testing involves testing the internal structure, logic, and code implementation of the software application. Testers have access to the source code and use this knowledge to design test cases. The focus is on validating the correctness of the code, ensuring that all statements, branches, and paths are exercised.
Gray-box testing is a blend of black-box and white-box testing approaches. Testers have partial knowledge of the internal workings of the software, such as the architecture, algorithms, or database structure. The level of information provided to testers is limited, striking a balance between the complete ignorance of black-box testing and the full access of white-box testing.
Read More: What is White Box Testing? A Comprehensive Guide
Certain test cases should be prioritized for execution so that more critical and high-risk areas are tested in advance. It is also a good practice to manage testing resources or meet project timelines. There are several approaches to test case prioritization:
The traceability matrix in software testing is a crucial document for ensuring comprehensive test coverage and establishing a clear link between various artifacts throughout the software development and testing life cycle. Its primary purpose is to trace and manage the relationships between requirements, test cases, and other relevant artifacts.
Exploratory testing is an unscripted, manual software testing type where testers examine the system with no pre-established test cases and no previous exposure to the system. Instead of following a strict test plan, they jump straight to testing and make spontaneous decisions about what to test on the fly.
Exploratory testing shares many similarities with ad-hoc testing, but there are still minor differences between the 2 approaches.
Aspect |
Exploratory Testing |
Ad Hoc Testing |
Approach |
Systematic and structured |
Unplanned and unstructured |
Planning |
Testers design and execute tests on the fly based on their knowledge and expertise |
Testers test without a predefined plan or test cases |
Test Execution |
Involves simultaneous test design, execution, and learning |
Testing occurs without predefined steps or guidelines |
Purpose |
To explore the software, find issues, and gain a deeper understanding |
Typically used for quick checks and informal testing |
Documentation |
Notes and observations are documented during testing |
Minimal or no formal documentation of testing activities |
Test Case Creation |
Test cases may be created on-the-fly but are not pre-planned |
No pre-defined test cases or test scripts |
Skill Requirement |
Requires skilled and experienced testers |
Can be performed by any team member without specific testing skills |
Reproducibility |
Test cases can be reproduced to validate and fix issues |
Lack of predefined test cases may lead to difficulty reproducing bugs |
Test Coverage |
Can cover specific areas or explore new paths during testing |
Coverage may be limited and dependent on tester knowledge |
Flexibility |
Adapts to changing conditions or discoveries during testing |
Provides flexibility to test based on the tester's intuition |
Intentional Testing |
Still focused on testing specific aspects of the software |
More often used to check the software in an unstructured manner |
Maturity |
Evolved and recognized testing approach |
Considered less mature or formal than structured testing methods |
CI/CD stands for Continuous Integration and Continuous Delivery (or Continuous Deployment), and it is a set of practices and principles used in software development to streamline the process of building, testing, and delivering software changes to production. The ultimate goal of CI/CD is to enable faster, more reliable, and more frequent delivery of software updates to end-users while maintaining high-quality standards.
Static testing involves reviewing and analyzing software artifacts without executing the code. Examples of static testing include code reviews, inspections, and walkthroughs. Dynamic testing involves executing the code to validate its behavior. Examples of this type include unit testing, integration testing, and system testing.
The V-model is a software testing model that emphasizes testing activities aligned with the corresponding development phases. It differs from the traditional waterfall model by integrating testing activities at each development stage, forming a "V" shape. In the V-model, testing activities are parallel to development phases, promoting early defect detection.
TDD is a software development approach where test cases are written before the actual code. Programmers create automated unit tests to define the desired functionality. Then, they write code to pass these tests. TDD influences the testing process by ensuring better test coverage and early detection of defects.
Read More: TDD vs BDD: A Comparison
Test environment management is vital to create controlled and representative testing environments. It allows QA teams to:
Managing test environments can be challenging in terms of:
Read More: How To Build a Good Test Infrastucture?
Test design techniques are methods used to derive and select test cases from test conditions or test scenarios.
Test Design Technique |
Coverage Types / Basic Techniques |
Test Basis |
Quality Characteristic / Test Type |
Boundary Value Analysis (BVA) |
Input Domain Coverage |
Input Specifications |
Correctness, Robustness |
Equivalence Partitioning (EP) |
Input Domain Coverage |
Input Specifications |
Correctness, Robustness |
Decision Table Testing |
Logic Coverage |
Business Rules |
Correctness, Business Logic |
State Transition Testing |
State-Based Coverage |
State Diagrams |
Correctness, State Transitions |
Pairwise Testing |
Combinatorial Coverage |
Multiple Parameters |
Efficiency, Combinatorial Coverage |
Use Case Testing |
Functional Scenario Coverage |
Use Case Specifications |
Requirement Validation, Functional Testing |
Exploratory Testing |
N/A |
N/A |
Defect Detection, Usability Testing |
Decision Table Test |
Logic Coverage |
Business Rules |
Correctness, Business Logic |
Data Combination Test |
Input Domain Coverage |
Input Specifications |
Correctness, Data Validation |
Elementary Comparison Test |
Comparison of Individual Elements |
Functional Requirements |
Correctness, Data Validation |
Error Guessing |
Error-Based Coverage |
Tester's Experience |
Defect Detection, Usability Testing |
Data Cycle Test |
Functional Scenario Coverage |
Data Flows |
Data Flow Verification |
Process Cycle Test |
Functional Scenario Coverage |
Process Flows |
Process Flow Verification |
Real-Life Test |
Real-Life Scenarios |
Real-World Use Cases |
Real-Life Use Case Validation |
Test data management (TDM) is the process of creating, maintaining, and controlling the data used for software testing purposes. It involves managing test data throughout the testing lifecycle, from test case design to test execution. The primary goal of test data management is to ensure that testers have access to relevant, accurate, and representative test data to perform thorough and effective testing.
Read More: Understanding The Concept Of Test Data Management
Read More: Cross-browser Testing: A Complete Guide
Here are the top automation testing tools/frameworks in the current market, according to the survey from State of Quality Report 2024. You can download the report to get the latest insights in the industry.
A test automation framework is a structured set of guidelines, best practices, and reusable components that provide an organized approach to designing, implementing, and executing automated tests. Its main purpose is to standardize test automation efforts, promote reusability, and provide a structure to manage test scripts and test data effectively.
Several test automation frameworks include:
Read More: Top 8 Cross-browser Testing Tools For Your QA Team
Several criteria to consider when choosing a test automation framework for your project include:
Read More: Test Automation Framework - 6 Common Types
In the modern digital landscape, third-party integrations are quite common. However, since these third-party integrations may have been built on different technologies with the system under test, conflicts may occur. Testing for these integrations are necessary, and the process for it is similar to the Software Testing Life Cycle as follows:
Data-driven testing is a testing approach in which test cases are designed to be executed with multiple sets of test data. Instead of writing separate test cases for each test data variation, data-driven testing allows testers to parameterize test cases and run them with different input data, often stored in external data sources such as spreadsheets or databases.
Advantages |
Disadvantages |
Free to use, no license fees |
Limited Support |
Active communities provide assistance |
Steep Learning Curve |
Can be tailored to project needs |
Lack of Comprehensive Documentation |
Source code is accessible for modification |
Integration Challenges |
Frequent updates and improvements |
Occasional bugs or issues |
Not tied to a specific vendor |
Requires careful consideration of security |
Large user base, abundant online resources |
May not offer certain enterprise-level capabilities |
Read More: Top 10 Free Open-source Testing Tools, Frameworks, and Libraries
Model-Based Testing (MBT) is a testing technique that uses models to represent the system's behavior and generate test cases based on these models. The models can be in the form of finite state machines, flowcharts, decision tables, or other representations that capture the system's functionality, states, and transitions.
The process of Model-Based Testing involves the following steps:
TestNG (Test Next Generation) is a popular testing framework for Java-based applications. It is inspired by JUnit but provides additional features and functionalities to make test automation more efficient and flexible. TestNG is widely used in the Java development community for writing and running tests, particularly for unit testing, integration testing, and end-to-end testing.
The Page Object Model (POM) is a design pattern widely used in test automation to enhance the maintainability, reusability, and readability of test scripts. It involves representing each web page or user interface (UI) element as a separate class, containing the methods and locators needed to interact with that specific page or element.
In a test automation framework, abstraction layers are the hierarchical organization of components and modules that abstract the underlying complexities of the application and testing infrastructure. Each layer is designed to handle specific responsibilities, and they work together to create a robust and scalable testing infrastructure. The key abstraction layers typically found in a test automation framework are:
Parallel test execution is a testing technique in which multiple test cases are executed simultaneously on different threads or machines. The goal of parallel testing is to optimize test execution time and improve the overall efficiency of the testing process. By running tests in parallel, testing time can be significantly reduced, allowing faster feedback and quicker identification of defects.
The main benefits of parallel test execution are:
Category |
Katalon |
Selenium |
Initial setup and prerequisites |
|
|
License Type |
Commercial |
Open-source |
Supported application types |
Web, mobile, API and desktop |
Web |
What to maintain |
Test scripts |
|
Language Support |
Java/Groovy |
Java, Ruby, C#, PHP, JavaScript, Python, Perl, Objective-C etc., |
Pricing |
Free Forever with Free Trial versions and Premium with advanced features |
Free |
Knowledge Base & Community Support |
|
Community support |
Read More: Katalon vs Selenium
Aspect |
Selenium |
TestNG |
Purpose |
Suite of tools for web application testing |
Testing framework for test organization & execution |
Functionality |
Automation of web browsers and web elements |
Test configuration, parallel execution, grouping, data-driven testing, reporting, etc. |
Browser Support |
Supports multiple browsers |
N/A |
Limitations |
Primarily focused on web application testing |
N/A |
Parallel Execution |
N/A |
Supports parallel test execution at various levels (method, class, suite, group) |
Test Configuration |
N/A |
Allows use of annotations for setup and teardown of test environments |
Reporting & Logging |
N/A |
Provides comprehensive test execution reports and supports custom test listeners |
Integration |
Often used with TestNG for test management |
Commonly used with Selenium for test execution, configuration, and reporting |
When creating a test strategy document, we can make a table containing the listed items. Then, have a brainstorming session with key stakeholders (project manager, business analyst, QA Lead, and Development Team Lead) to gather the necessary information for each item. Here are some questions to ask:
Test Goals/Objectives:
Sprint Timelines:
Lifecycle of Tasks/Tickets:
Test Approach:
Testing Types:
Roles and Responsibilities:
Testing Tools:
There should always be a contingency plan in case some variables in the test plan need adjustment. When adjustments have to be made, we need to communicate with relevant stakeholders (project managers, developers, business analysts, etc.) to clarify the reasons, objectives, and scope of the change. After that, we will adapt the test plan, update the test artifacts, and continue with the test cycle according to the updated test plan.
Several important test metrics include:
Learn More: What is a Test Report? How To Create One?
In software testing, an object repository is a central storage location that holds all the information about the objects or elements of the application being tested. It is a key component of test automation frameworks and is used to store and manage the properties and attributes of user interface (UI) elements or objects.
Having an Object Repository brings several benefits:
There are several best practices when it comes to test case reusability and maintainability:
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Assumptions:
import org.openqa.selenium.By;
import org.openqa.selenium.WebDriver;
import org.openqa.selenium.WebElement;
import org.openqa.selenium.chrome.ChromeDriver;
public class TextBoxTest {
public static void main(String[] args) {
// Set ChromeDriver path
System.setProperty("webdriver.chrome.driver", "path/to/chromedriver");
// Create a WebDriver instance
WebDriver driver = new ChromeDriver();
// Navigate to the test page
driver.get("https://example.com/login");
// Find the username and password text boxes
WebElement usernameTextBox = driver.findElement(By.id("username"));
WebElement passwordTextBox = driver.findElement(By.id("password"));
// Test Data
String validUsername = "testuser";
String validPassword = "testpass";
// Test case 1: Enter valid data into the username text box
usernameTextBox.sendKeys(validUsername);
String enteredUsername = usernameTextBox.getAttribute("value");
if (enteredUsername.equals(validUsername)) {
System.out.println("Test case 1: Passed - Valid data entered in the username text box.");
} else {
System.out.println("Test case 1: Failed - Valid data not entered in the username text box.");
}
// Test case 2: Enter valid data into the password text box
passwordTextBox.sendKeys(validPassword);
String enteredPassword = passwordTextBox.getAttribute("value");
if (enteredPassword.equals(validPassword)) {
System.out.println("Test case 2: Passed - Valid data entered in the password text box.");
} else {
System.out.println("Test case 2: Failed - Valid data not entered in the password text box.");
}
// Close the browser
driver.quit();
}
}
import org.openqa.selenium.By;
import org.openqa.selenium.WebDriver;
import org.openqa.selenium.WebElement;
import org.openqa.selenium.chrome.ChromeDriver;
public class InvalidEmailTest {
public static void main(String[] args) {
// Set ChromeDriver path
System.setProperty("webdriver.chrome.driver", "path/to/chromedriver");
// Create a WebDriver instance
WebDriver driver = new ChromeDriver();
// Navigate to the test page
driver.get("https://example.com/contact");
// Find the email input field and submit button
WebElement emailField = driver.findElement(By.id("email"));
WebElement submitButton = driver.findElement(By.id("submitBtn"));
// Test Data - Invalid email format
String invalidEmail = "invalidemail";
// Test case 1: Enter invalid email format and click submit
emailField.sendKeys(invalidEmail);
submitButton.click();
// Find the error message element
WebElement errorMessage = driver.findElement(By.className("error-message"));
// Check if the error message is displayed and contains the expected text
if (errorMessage.isDisplayed() && errorMessage.getText().equals("Invalid email format")) {
System.out.println("Test case 1: Passed - Error message for invalid email format is displayed.");
} else {
System.out.println("Test case 1: Failed - Error message for invalid email format is not displayed or incorrect.");
}
// Close the browser
driver.quit();
}
}
1. Decide which part of the product/website you want to test
2. Define the hypothesis (what will users do when they land on this part of the website? How do we verify that hypothesis?)
3. Set clear criteria for the usability test session
4. Write a study plan and script
5. Find suitable participants for the test
6. Conduct your study
7. Analyze collected data
Even though it's not possible to test every possible situation, testers should go beyond the common conditions and explore other scenarios. Besides the regular tests, we should also think about unusual or unexpected situations (edge cases and negative scenarios), which involve uncommon inputs or usage patterns. By considering these cases, we can improve the coverage of your testing. Attackers often target non-standard scenarios, so testing them is essential to enhance the effectiveness of our tests.
Defect triage meetings are an important part of the software development and testing process. They are typically held to prioritize and manage the defects (bugs) found during testing or reported by users. The primary goal of defect triage meetings is to decide which defects should be addressed first and how they should be resolved.
The average age of a defect in software testing refers to the average amount of time a defect remains open or unresolved from the moment it is identified until it is fixed and verified. It is a crucial metric used to measure the efficiency and effectiveness of the defect resolution process in the software development lifecycle.
The average age of a defect can vary widely depending on factors such as the complexity of the software, the testing process, the size of the development team, the severity of the defects, and the overall development methodology (e.g., agile, waterfall, etc.).
An experienced QA or Test Lead should have technical expertise, domain knowledge, leadership skills, and communication skills. An effective QA Leader is one that can inspire, motivate, and guide the testing team, keeping them focused on goals and objectives.
Read More: 9 Steps To Become a Good QA Lead
There is no true answer to this question because it depends on your experience. You can follow this framework to provide the most detailed information:
Step 1: Describe the defect in detail, including how it was identified (e.g., through testing, customer feedback, etc.)
Step 2: Explain why it was particularly challenging.
Step 3: Outline the steps you took to resolve the defect
Step 4: Discuss any obstacles you faced and your rationale to overcoming it.
Step 5: Explain how you ensure that the defect was fully resolved and the impact it had on the project and stakeholders.
Step 6: Reflect on what you learned from this experience.
DevOps is a software development approach and culture that emphasizes collaboration, communication, and integration between software development (Dev) and IT operations (Ops) teams. It aims to streamline and automate the software delivery process, enabling organizations to deliver high-quality software faster and more reliably.
Read More: DevOps Implementation Strategy
Agile focuses on iterative software development and customer collaboration, while DevOps extends beyond development to address the entire software delivery process, emphasizing automation, collaboration, and continuous feedback. Agile is primarily a development methodology, while DevOps is a set of practices and cultural principles aimed at breaking down barriers between development and operations teams to accelerate the delivery of high-quality software.
User Acceptance Testing (UAT) is when the software application is evaluated by end-users or representatives of the intended audience to determine whether it meets the specified business requirements and is ready for production deployment. UAT is also known as End User Testing or Beta Testing. The primary goal of UAT is to ensure that the application meets user expectations and functions as intended in real-world scenarios.
Entry criteria are the conditions that need to be fulfilled before testing can begin. They ensure that the testing environment is prepared, and the testing team has the necessary information and resources to start testing. Entry criteria may include:
Similarly, exit criteria are the conditions that must be met for testing to be considered complete, and the software is ready for the next phase or release. These criteria ensure that the software meets the required quality standards before moving forward, including:
Software Testing Techniques |
Testing a Pen |
1. Functional Testing |
Verify that the pen writes smoothly, ink flows consistently, and the pen cap securely covers the tip. |
2. Boundary Testing |
Test the pen's ink level at minimum and maximum to check behavior at the boundaries. |
3. Negative Testing |
Ensure the pen does not write when no ink is present and behaves correctly when the cap is missing. |
4. Stress Testing |
Apply excessive pressure while writing to check the pen's durability and ink leakage. |
5. Compatibility Testing |
Test the pen on various surfaces (paper, glass, plastic) to ensure it writes smoothly on different materials. |
6. Performance Testing |
Evaluate the pen's writing speed and ink flow to meet performance expectations. |
7. Usability Testing |
Assess the pen's grip, comfort, and ease of use to ensure it is user-friendly. |
8. Reliability Testing |
Test the pen under continuous writing to check its reliability during extended usage. |
9. Installation Testing |
Verify that multi-part pens assemble easily and securely during usage. |
10. Exploratory Testing |
Creatively test the pen to uncover any potential hidden defects or unique scenarios. |
11. Regression Testing |
Repeatedly test the pen's core functionalities after any changes, such as ink replacement or design modifications. |
12. User Acceptance Testing |
Have potential users evaluate the pen's writing quality and other features to ensure it meets their expectations. |
13. Security Testing |
Ensure the pen cap securely covers the tip, preventing ink leaks or staining. |
14. Recovery Testing |
Accidentally drop the pen to verify if it remains functional or breaks upon impact. |
15. Compliance Testing |
If applicable, test the pen against industry standards or regulations. |
To better prepare for your interviews, here are some topic-specific lists of interview questions:
The list above only touches mostly the theory of the QA industry. In several companies you will even be challenged with an interview project, which requires you to demonstrate your software testing skills. You can read through our Katalon Blog for up-to-date information on the testing industry, especially automation testing, which will surely be useful in your QA interview.
As a leading automation testing platform, Katalon offers free Software Testing courses for both beginners and intermediate testers through Katalon Academy, a comprehensive knowledge hub packed with informative resources.