Introduction
Imagine you’re developing a mobile app that must work seamlessly across different devices, networks, and scenarios. Now, imagine that app crashing because of unexpected input or a minor glitch. Sounds like a nightmare, doesn’t it? That’s where Robustness Testing comes into play. Robustness testing ensures that software can handle unexpected inputs or conditions without failing, making it a cornerstone of modern software quality assurance.
If you aspire to excel in the field of software testing, enrolling in a QA software testing course like those offered at H2K Infosys can provide the comprehensive training needed to master robustness testing and other essential QA techniques.
What is Robustness testing?
Software has many features that are to be tested under system testing. Hence there are many different types of system testing. It is a huge list with more than 100 different types of testing that can be listed. Robustness testing is a quality assurance testing methodology to test the robustness of the software application. Here the testing is done by giving the invalid inputs. Robustness testing is usually done to test the exceptional handling.
Why is Robustness Testing Important?
- Error Detection: Identifies vulnerabilities and bugs that might otherwise go unnoticed.
- User Satisfaction: Ensures a seamless user experience by reducing crashes and unexpected behavior.
- Regulatory Compliance: Meets industry standards, especially for critical applications like healthcare and finance.
- Competitive Advantage: Builds trust with users, increasing your software’s marketability.
Example for robustness testing with invalid inputs:
For example, when testing is done for test cases, nominal values are fixed as two variables and change the third value of the variable. Lets say, we will fix the nominal values for X and Y and make the combinations for Z of each value. The nominal values for X and Y are 50 and 40 and we can compare these two values with the given values of Z as 79, 80, 89, 90, 99, 100 and 101. We will fix the nominal values for X and Z as 50, 60 and make the combination with these two values with the given values of Y as 19, 0, 21, 40, 59, 60, 61 and we will fix the value of Y and Z as 40 and 90 and make the combination with value of X as -1, 0, 1, 50, 99, 100, 101. And many test cases will be generated with different combinations.
Robustness testing scenarios:
There are certain scenarios that can cause the failure of software due to lack of robustness of software. The scenarios that can be tested are:
- invalid inputs
- interfaces with new software modules or external and independent software
- changes in environment, sometimes can be a sudden change- hardware of software environment
- external environment changes affecting the hardware system like magnetic fields, electric fields, pollution etc.
Key Concepts in Robustness Testing
1. Boundary Testing
Boundary testing involves checking the system’s behavior at the edge of input ranges. For example, if a field accepts integers from 1 to 100, boundary testing evaluates inputs like 0, 1, 100, and 101.
2. Fault Injection
Fault injection introduces errors into the system to observe its response. For instance, simulating a network disconnection to test a mobile app’s offline functionality.
3. Stress Testing
Stress testing examines the system’s performance under heavy loads. For example, simulating thousands of concurrent users on an e-commerce website.
4. Fuzz Testing
Fuzz testing uses random or invalid data to test the system’s response. This method is particularly useful for identifying security vulnerabilities.
5. Resilience Testing
Resilience testing ensures that the system can recover quickly from failures. For example, testing a database system’s ability to restore data after a sudden power outage.
Practical Applications of Robustness Testing
Real-World Example: E-Commerce Platforms
An online shopping platform must handle a variety of scenarios, such as:
- Users entering invalid coupon codes.
- High traffic during holiday sales.
- Unexpected payment gateway errors.
Robustness testing ensures the platform doesn’t crash or compromise data integrity under these conditions.
Robustness Testing in Financial Software
Financial applications must be error-free and secure. For instance:
- Handling incorrect transaction inputs.
- Managing multiple simultaneous transactions.
- Preventing data breaches during unexpected system failures.
Robustness Testing for IoT Devices
In the Internet of Things (IoT) ecosystem, robustness testing is vital for:
- Ensuring reliable communication between devices.
- Handling unexpected network disruptions.
- Securing data transmitted between sensors and systems.
How to Perform Robustness Testing
Step 1: Define Test Scenarios
Identify scenarios that could lead to unexpected inputs or conditions.
Step 2: Create Test Cases
Develop detailed test cases for each scenario. For example:
- Input invalid characters in text fields.
- Simulate heavy user traffic.
- Disconnect the system from the internet mid-transaction.
Step 3: Execute Tests
Run the tests in a controlled environment. Use tools like Selenium, JUnit, or Apache JMeter for automation and scalability.
Step 4: Analyze Results
Document system behavior, including errors, crashes, and performance metrics. Use this data to identify areas for improvement.
Step 5: Iterate and Improve
Refine the software based on test results and retest to ensure issues are resolved
Tools for Robustness Testing
- Selenium: Automates browser-based testing.
- Apache JMeter: Simulates heavy user loads for performance testing.
- Postman: Tests APIs for unexpected inputs and responses.
- Fuzzing Tools: Like AFL (American Fuzzy Lop) for injecting invalid data.
- Chaos Monkey: Used for resilience testing by introducing random failures in production environments.
Benefits of Robustness Testing for QA Professionals
Enrolling in a QA testing training program equips professionals with:
- Expertise in using industry-standard tools.
- Knowledge of best practices for designing robust test cases.
- Hands-on experience with real-world projects.
- An understanding of how to ensure software resilience under various conditions.
Why Choose H2K Infosys for QA Tester Training?
At H2K Infosys, we provide comprehensive QA tester courses designed to meet the demands of the software industry. Our courses include:
- Expert-Led Training: Learn from experienced QA professionals.
- Hands-On Projects: Work on real-world applications.
- Flexible Learning: Online classes that fit your schedule.
- Industry-Relevant Curriculum: Covering essential topics like robustness testing, automation, and performance testing.
Key Features of Our QA Software Testing Course
- In-depth modules on robustness testing and other QA methodologies.
- Practical training with tools like Selenium, JMeter, and Postman.
- Preparation for certification exams.
- Career support, including resume building and interview preparation.
- Exposure to advanced topics like resilience testing and chaos engineering.
Key Takeaways
- Robustness testing ensures software reliability by evaluating its behavior under unexpected conditions.
- It involves techniques like boundary testing, fault injection, and fuzz testing.
- Real-world applications include e-commerce platforms, financial software, and more.
- Tools like Selenium and JMeter are essential for effective robustness testing.
- H2K Infosys offers the best QA software testing course to help you master these skills.
Conclusion
In the fast-paced world of software development, robustness testing is not optional—it’s a necessity. If you’re passionate about becoming a skilled QA tester, H2K Infosys is your gateway to success. Enroll in our quality assurance tester training today and take the first step toward a rewarding career in QA.
Ready to transform your career? Join H2K Infosys for hands-on training and expert guidance in software testing!
23 Responses
Robustness testing is carried by passing valid and invalid input to check the performance of software. The system is tested with different inputs and verified under different conditions.Software is robust if it can tolerate such problems as unanticipated events,invalid inputs, corrupted internally stored data, improper uses by system operators.
Robustness testing is a quality assurance testing methodology to test the robustness of the software application .
The testing is done by giving the invalid inputs. Robustness testing is usually done to test the exceptional handling.
For example, when testing is done for test cases, nominal values are fixed as two variables and change the third value of the
variable . Robustness testing is carried by passing valid and invalid input to check the performance of software.
The system is tested with different inputs and verified under different conditions.
Robustness testing is a quality assurance testing methodology to test the robustness of the software application. Robustness is defined as the degree to which a system operates correctly in the presence of exceptional inputs or stressful environmental conditions. Robustness testing is the process of verifying whether a software system performs well under stress conditions or not.
What is Robustness testing explain with an suitable example?
Robustness testing is a quality assurance testing methodology to test the robustness of the software application. Here the testing is done by giving the invalid inputs. Robustness testing is usually done to test the exceptional handling.
What is Robustness testing explain with an suitable example?
Robustness testing is a quality assurance testing methodology to test the robustness of the software application.
Example: Verify Verizon wireless home page opens with the URL with this testing.
1.What is Robustness testing explain with an suitable example?
Robustness testing is a quality assurance testing methodology to test the robustness of the software application!
The testing is done by giving the invalid inputs. Robustness testing is usually done to test the exceptional handling.
For example,
when testing is done for test cases, nominal values are fixed as two variables and change the third value of the variable
Robustness testing is a quality assurance testing methodology to test the robustness of the software application. Here the testing is done by giving the invalid inputs. Robustness testing is usually done to test the exceptional handling.
Eg: when testing is done for test cases, nominal values are fixed as two variables and change the third value of the variable
Robustness testing is carried by passing valid and invalid input to check the performance of software. The system is tested with different inputs and verified under different conditions.
1. Robustness testing and example:
Robustness testing is a quality assurance testing methodology to test the robustness of the software application. Here the testing is done by giving the invalid inputs. Robustness testing is carried by passing valid and invalid input to check the performance of software. The system is tested with different inputs and verified under different conditions.
Example: when testing is done for test cases, nominal values are fixed as two variables and change the third value of the variable. L We will fix the nominal values for X and Y and make the combinations for Z of each value. The nominal values for X and Y are 50 and 40 and we can compare these two values with the given values of Z as 79, 80, 89, 90, 99, 100 and 101. Many test cases will be generated with different combinations.
2. Different approaches for robustness testing are
1.invalid inputs
2.interfaces with new software modules or external and independent software
3. changes in environment, sometimes can be a sudden change- hardware of software environment
4. external environment changes affecting the hardware system like magnetic fields, electric fields, pollution etc.
What is Robustness testing explain with an suitable example?
Robustness Testing is an exceptional type of testing in which invalid scenarios are tested to check the robustness of the system.
Ex: Robustness of a Password field – Verify sign with invalid values of password and verify the sign in .
What are approaches of Robustness testing?
Testing with invalid values/exceptional scenarios , change in hardware and software environment.
1. Robustness testing is a quality assurance testing methodology to test the robustness of the software application. Here the testing is done by giving the invalid inputs, and this test is usually done to test the exceptional handling. For e.g. when testing is done for test cases, nominal values are fixed as two variables and change the third value of the variable. Lets say, we will fix the nominal values for X and Y and make the combinations for Z of each value. The nominal values for X and Y are 50 and 40 and we can compare these two values with the given values of Z as 79, 80,89,90,100.
2. The approaches of Robustness testing are as under.
1. Invalid inputs.
2. Interfaces with new software modules or external and independent software.
3. Changes in environment, sometimes can be sudden change-hardware of software environment.
4. External environment changes affecting the hardware system like magnetic fields, electric fields, pollution etc.
1. Robustness testing is a quality assurance testing methodology to test the robustness of the software application.
Here the testing is done by giving the invalid inputs. Robustness testing is usually done to test the exceptional handling.
For example, when testing is done for test cases, nominal values are fixed as two variables and change the third value of the variable. Lets say, we will fix the nominal values for X and Y and make the combinations for Z of each value. The nominal values for X and Y are 50 and 40 and we can compare these two values with the given values of Z as 79, 80, 89, 90, 99, 100 and 101. We will fix the nominal values for X and Z as 50, 60 and make the combination with these two values with the given values of Y as 19, 0, 21, 40, 59, 60, 61 and we will fix the value of Y and Z as 40 and 90 and make the combination with value of X as -1, 0, 1, 50, 99, 100, 101. And many test cases will be generated with different combinations.
2. Approaches :
1. invalid inputs
2. interfaces with new software modules or external and independent software
changes in environment, sometimes can be a sudden change- hardware of software environment
3. external environment changes affecting the hardware system like magnetic fields, electric fields, pollution etc.
1. Robustness testing is a quality assurance testing methodology to test the robustness of the software application. Here the testing is done by giving the invalid inputs. Robustness testing is usually done to test the exceptional handling.
Example for robustness testing with invalid inputs:
For example, when testing is done for test cases, nominal values are fixed as two variables and change the third value of the variable. Lets say, we will fix the nominal values for X and Y and make the combinations for Z of each value. The nominal values for X and Y are 50 and 40 and we can compare these two values with the given values of Z as 79, 80, 89, 90, 99, 100 and 101. We will fix the nominal values for X and Z as 50, 60 and make the combination with these two values with the given values of Y as 19, 0, 21, 40, 59, 60, 61 and we will fix the value of Y and Z as 40 and 90 and make the combination with value of X as -1, 0, 1, 50, 99, 100, 101. And many test cases will be generated with different combinations.
2. invalid inputs.
interfaces with new software modules or external and independent software
changes in environment, sometimes can be a sudden change- hardware of software environment
external environment changes affecting the hardware system like magnetic fields, electric fields, pollution etc.
1. What is Robustness testing explain with an suitable example?
Robustness testing is a quality assurance testing methodology to test the robustness of the software application. They give some invalid inputs and we check the software.
Example : The nominal values for X and Y are 50 and 40 and we can compare these two values with the given values of Z as 79, 80, 90, 99 ,100 and 101. Robustness testing is usually done to test the exceptional handling.
2.What are approaches of Robustness testing?
There are some approaches of Robustness testing like invalid inputs, interfaces with new software modules or external and independent software,
changes in environment, sometimes can be a sudden change- hardware of software environment, external environment changes affecting the hardware system like magnetic fields, electric fields, pollution etc.
1) Robustness testing is a quality assurance testing methodology to test the performance of the software application. Here the testing is done by giving the invalid inputs. Robustness testing is usually done to test the exceptional handling.
For example, when testing is done for test cases, nominal values are fixed as two variables and change the third value of the variable. Lets say, we will fix the nominal values for X and Y and make the combinations for Z of each value. The nominal values for X and Y are 50 and 40 and we can compare these two values with the given values of Z as 79, 80, 89, 90, 99, 100 and 101. We will fix the nominal values for X and Z as 50, 60 and make the combination with these two values with the given values of Y as 19, 0, 21, 40, 59, 60, 61 and we will fix the value of Y and Z as 40 and 90 and make the combination with value of X as -1, 0, 1, 50, 99, 100, 101. And many test cases will be generated with different combinations.
2)There are certain scenarios that can cause the failure of software due to lack of robustness of software. The scenarios that can be tested are:
invalid inputs
interfaces with new software modules or external and independent software
changes in environment, sometimes can be a sudden change- hardware of software environment
external environment changes affecting the hardware system like magnetic fields, electric fields, pollution etc.
What is Robustness Testing: Robustness testing is a quality assurance testing methodology to test the robustness of the software application. Here the testing is done by giving the invalid inputs. Robustness testing is usually done to test the exceptional handling. The significance of Robustness testing is that it ensures, that the software system qualifies as the end product developed right purpose.
e.g.: when testing is done for test cases, nominal values are fixed as two variables and change the third value of the variable. Lets say, we will fix the nominal values for X and Y and make the combinations for Z of each value. The nominal values for X and Y are 50 and 40 and we can compare these two values with the given values of Z as 79, 80, 89, 90, 99, 100 and 101. We will fix the nominal values for X and Z as 50, 60 and make the combination with these two values with the given values of Y as 19, 0, 21, 40, 59, 60, 61 and we will fix the value of Y and Z as 40 and 90 and make the combination with value of X as -1, 0, 1, 50, 99, 100, 101. And many test cases will be generated with different combinations.
Approaches of Robustness Testing: The scenarios that can be tested are:
invalid inputs, interfaces with new software modules or external and independent software
changes in environment, sometimes can be a sudden change- hardware of software environment
external environment changes affecting the hardware system like magnetic fields, electric fields, pollution etc.
1.Robustness testing is usually done to test the exception handling.
Example for robustness testing with invalid input.
For example, when testing is done for test cases, nominal values are fixed as two variables and change the third value of the variable
2.Robustness testing is a part of the validation process which consists of testing the behavior of a system implementation under exceptional execution conditions in order to check if it still fulfills some robustness requirements. We propose a theoretical framework for model-based robustness testing together with implementation within the If validation environment.
Robustness test cases are generated from both a (partial) operational specification and an abstract fault model.
What is Robustness testing explained with a suitable example?
Robustness testing is a type of quality assurance testing methodology that is used to test the robustness of the software application. It is usually done to test the exceptional handling. Robust analysis testing is very helpful if done before any design is finalized certainly it will yield a better result and better design options.
For example, we can test robustness by invalid inputs, by changing the hardware and software environment, etc.
What are the approaches to Robustness testing?
The approach of Robustness testing is to ensure that the software system qualifies as the end product developed for the right purpose. Robustness testing is also carried out by passing valid and invalid input to check the performance of the software. The system is tested with different inputs and verified under different conditions.
What is Robustness testing explain with a suitable example?
Robustness testing is a quality assurance testing methodology to test the robustness of the software application.
Robustness is defined as the degree to which a system operates correctly in the presence of exceptional inputs or stressful environmental conditions. Robustness testing is the process of verifying whether a software system performs well under stress conditions or not.
A combination of valid and invalid inputs is passed to the system and checked for the performance . So a system is tested and validated under different conditions .
1 What is Robustness testing explain with a suitable example?
Robustness testing is a quality assurance testing methodology to test the robustness of the software application. It is tested by giving invalid values as inputs. This testing is usually done to test exception handling. For example, we have 3 variables X, Y, and Z to test. We will fix the nominal value of two variables and change the value of the third variable. Let’s say the fixed nominal value of Y and Z are 40 and 90 and will make a combination of these with values of X variable -1,0,1,50,99,100,101.
2 What are the approaches of Robustness testing?
Better design, good quality analysis, Increase the reliability and consistency of software application and verified under different conditions.
1. Robustness testing is quality assurance testing methodology to test the robustness of the software application. Here the testing is done by giving the invalid inputs and it’s done to test the exceptional handling. Its challenge is that it’s designed for specific task so it lacks flexibility. It’s significant is it reduces cost and time required for the efficient delivery of software testing. Testing is carried by passing valid/invalid input to check the performance systems. For example when testing is done for test cases, nominal values are fixed as two variables and changes the third value of the variable.
2. It’s approaches for Robustness testing is testing with valid/invalid nominal senerios with changes in software and hardware environment.
1. Robustness testing is a quality assurance testing methodology to test the robustness of the software application.
For example, when testing is done for test cases, nominal values are fixed as two variables and change the third value of the variable. An example of robustness testing of invalid input is x and y values of 50 and 30 and combined value of y is set of values of 10,20,30,40.
2. Approaches of robustness testing are invalid inputs, interfaces with new software modules or external and independent software, changes in environment, sometimes can be a sudden change- hardware of software environment,and external environment changes affecting the hardware system like magnetic fields, electric fields, pollution etc.
Robustness testing is a quality assurance testing methodology to test the robustness of the software application. Here the testing is done by giving the invalid inputs. Robustness testing is usually done to test the exceptional handling.
What is Robustness testing explain with an suitable example?
Robustness testing is a quality assurance testing methodology to test the robustness of the software application.
Example: Verify Verizon wireless home page opens with the URL with this testing.
1. What is Robustness testing explain with an suitable example?
Robustness testing is a quality assurance testing methodology to test the robustness of the software application. The testing is done by giving the invalid inputs. Robustness testing is usually done to test the exceptional handling.
For example, when testing is done for test cases, nominal values are fixed as two variables and change the third value of the variable. Lets say, we will fix the nominal values for X and Y and make the combinations for Z of each value. The nominal values for X and Y are 50 and 40 and we can compare these two values with the given values of Z as 79, 80, 89, 90, 99, 100 and 101.
2.What are approaches of Robustness testing?
. invalid inputs
. interfaces with new software modules or external and independent software
. changes in environment, sometimes can be a sudden change- hardware of software environment
. external environment changes affecting the hardware system like magnetic fields, electric fields, pollution etc.
-What is Robustness testing explain with an suitable example?
Robustness testing is a quality assurance testing methodology to test the robustness of the software application. The testing is done by giving the invalid inputs. Robustness testing is usually done to test the exceptional handling.
-What are approaches of Robustness testing?
invalid inputs
interfaces with new software modules or external and independent software
changes in environment, sometimes can be a sudden change- hardware of software environment
external environment changes affecting the hardware system like magnetic fields, electric fields, pollution etc.