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Understanding Equivalence Class Partitioning in Software Testing

Dhruvi Sachapara
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Dhruvi Sachapara
  • Apr 22, 2024
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    12 min read
Understanding Equivalence Class Partitioning in Software Testing
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Imagine you are testing a login system for a banking app. Instead of manually checking every possible user input, isn't it smarter to test only a few carefully selected cases that cover all possible scenarios? That is exactly what Equivalence Class Partitioning (ECP) in software testing helps achieve!

ECP is one of the most efficient black-box testing techniques, and as such, it reduces the number of test cases remarkably without missing any coverage of the test. By using this technique, instead of testing all input values separately, they are divided into equivalence classes, meaning that one test case will represent an entire group of inputs. This saves some time, effort, and resources while conserving the quality and accuracy of testing.

You will understand what equivalence class partitioning is and how it can help you optimize the testing process of your software by the end of this article. Let's begin! 🚀

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What is an Equivalence class?

Equivalence Class Partitioning (ECP) is a black box testing technique that increases the efficiency of software testing by partitioning the input data into distinct classes or "equivalence classes." The system, in each class, is supposed to behave the same way; hence, it becomes possible to select representative inputs from each class rather than testing every possible input. This streamlines the process of testing so that there would be comprehensive coverage with fewer test cases.

Examples to illustrate the concept of ECP

For example, let's consider a scenario where we are testing an age validation feature in a software application. Through equivalence partitioning, we can divide the input values into equivalence partitioning:

  • Age Validation:
    • Valid Class: Ages between 18 and 65 (assuming adult eligibility).
    • Invalid Class: Ages less than 18 or greater than 65.
  • Username Field:
    • Valid Class: Alphanumeric characters (a-z, A-Z, 0-9) and underscores (_).
    • Invalid Class: Special characters, empty username, username exceeding a certain length, and empty space before, in-between, and after the username.

Step-by-Step Process of Equivalence Partitioning

This method brings time savings along with efficiency gains while ensuring complete software testing. You can effectively apply the equivalence class partitioning method by taking the help of this step-by-step methodology.

Analyze Requirements and Identify Input Fields

Review the software requirements with completeness before you start developing the equivalence classes.
All input fields in the application
Data types (numeric, string, boolean, etc.)
Expected behavior for different inputs

📌 Example: If the online form needs users to enter their age (from 18 to 60), then the input field should be an integer data type and only things that are within this range should be accepted by the software system.

Identify Equivalence Classes (Valid & Invalid Inputs)

They split them up by the inputs determining if they were valid given that they should have behaved that way.

  • Inputs the system should accept → Valid Equivalence Class
  • Inputs the system to reject → Invalid Equivalence Class 

📌 Example (Age Field: 18 to 60)

✅ Valid Class 1: Ages between 18-60

❌ Invalid Class 1: Ages below 18

❌ Invalid Class 2: Ages above 60

❌ Invalid Class 3: Non-numeric inputs ("abc", "$$@!")

Why this works? Now only 1 representative value per class (17, 30, 61, ‘abc’) is to be tested instead of all age values.

Define Boundary Values

BVA is done in parallel with ECP, testing out the values at the edge of each equivalence class.

📌 Example (Age Field: 18 to 60)

  • Lower Boundary Cases: 17 (invalid), 18 (valid)
  • Upper Boundary Cases: 60 (valid), 61 (invalid)

Testing at these boundaries allows testers to find defects, by being at the boundary of the valid and invalid range.

Select Representative Test Cases

Solving for equivalence classes, select one test case from each class now.

Age Field Selection Test Case

  • Valid Class: 30 (middle value from the valid range)
  • Invalid Classes: 17, 61, "ABC" (one from each invalid class)

To minimize the number of test cases while guaranteeing greater effectiveness, we have this.

Execute Tests and Validate Results

Select the test cases to run, and then verify the system’s response.

✔ The correct values should be accepted

✔ Error handling should be triggered with rejected values

Example Expected Outputs:

  • Input: 30 → ✅ Accepted
  • Input: 17 → ❌ Error: Age must be 18 or older
  • Input: "ABC" → ❌ Error: Invalid Input

Benefits of Equivalence Class Partitioning Technique

We have discussed the equivalence partitioning process in the previous section, detailing how it helps organize and streamline testing efforts. Now, let's delve into the various benefits of ECP in software testing to understand why this technique is widely adopted by testers globally.

Now that we have a brief idea of what equivalent class partitioning is and its significance in the world of quality software testing, let's look at the various benefits of ECP to get an idea of why so many testers around the world are using the ECP technique.

Equivalence Class Partitioning works well alongside integration testing methods. Learn more in our System Integration Testing.

Benefits of equivalence class partitioning technique

  • Reduced Testing Effort
    ECP helps us focus on your critical areas, reducing the overall number of test cases.
  • Improved Test Coverage
    ECP ensures a wide range of valid and invalid inputs are covered during testing.
  • Targeted Testing
    ECP helps identify critical areas, like BVA, for targeted testing.
  • Systematic Approach
    ECP promotes a structured and organized way of designing test cases.

Practical Examples of ECP In Software Testing

We have completed the theoretical part of the blog, now we will explore the practical part of the blog, starting with practical examples where we use ECP. We’ll look into various real-life scenarios, ranging from online shopping to discount codes as well.

our expertise in software testing allows us to deliver tailored solutions that meet our clients' unique needs, ensuring thorough and efficient testing processes.

Online Shopping

ECP shines when testing functionalities like adding items to a shopping cart and managing quantities.

The Classes:

Field Valid Class Invalid Class
Quantity Positive integers (1-10) Negative quantity
Quantity Zero quantity Non-numeric characters (abc)
Quantity Quantity exceeding stock limit

Test Cases:

Test Case ID Description Expected Result
TC_01 Add a valid quantity (e.g., 2) of a product to the cart Product added to cart with correct quantity reflected
TC_02 Try adding a negative quantity of a product Error message indicating invalid quantity
TC_03 Add zero quantity of a product Product not added to cart (or message indicating zero quantity)
TC_04 Try adding a large quantity exceeding available stock Error message indicating insufficient stock or quantity adjusted to available limit
TC_05 Enter non-numeric characters (e.g., "ten") in the quantity field Error message indicating invalid quantity format

Discount Code

ECP helps ensure discount codes are applied correctly based on their format and eligibility.

The Classes:

Field Valid Class Invalid Class
Discount Code Alphanumeric characters (uppercase and lowercase) Special characters (@, $, #, etc.)
Discount Code Valid code format (e.g., "SUMMER10") Incorrect code format
Discount Code Case-sensitive code (if applicable) Code entered with incorrect case (e.g., "summer10" for a case-sensitive code)
Discount Code Code within its validity period Expired code

Test Cases:

Field Valid Class Invalid Class
Discount Code Alphanumeric characters (uppercase and lowercase) Special characters (@, $, #, etc.)
Discount Code Valid code format (e.g., "SUMMER10") Incorrect code format
Discount Code Case-sensitive code (if applicable) Code entered with incorrect case (e.g., "summer10" for a case-sensitive code)
Discount Code Code within its validity period Expired code

Date input

Date formats are used in almost every domain, whether it's an educational site or a shopping site. ECP makes the testing process of these date formats much simpler.

The Classes:

Field Valid Class Invalid Class
Discount Code Alphanumeric characters (uppercase and lowercase) Special characters (@, $, #, etc.)
Discount Code Valid code format (e.g., "SUMMER10") Incorrect code format
Discount Code Case-sensitive code (if applicable) Code entered with incorrect case (e.g., "summer10" for a case-sensitive code)
Discount Code Code within its validity period Expired code

Test Cases:

Field Valid Class Invalid Class
Discount Code Alphanumeric characters (uppercase and lowercase) Special characters (@, $, #, etc.)
Discount Code Valid code format (e.g., "SUMMER10") Incorrect code format
Discount Code Case-sensitive code (if applicable) Code entered with incorrect case (e.g., "summer10" for a case-sensitive code)
Discount Code Code within its validity period Expired code

We excel in applying techniques like ECP to ensure comprehensive and efficient testing. Our expertise spans various domains and applications, allowing us to tailor our testing strategies to meet the unique needs of our clients. By leveraging ECP, we help our clients achieve high-quality software that performs reliably in real-world scenarios.

Equivalence Class Partitioning (ECP) vs Boundary Value Analysis (BVA)

Aspect Equivalence Class Partitioning (ECP) Boundary Value Analysis (BVA)
Purpose Eliminates test cases by grouping inputs into equivalence classes Test boundary values where defects are likely
Approach Choose one representative value from each class Focuses on minimum, maximum, and edge values
Use Case Validates general input conditions Detects errors at boundaries between input partitions
Example Age Range 18-60: ✅ Valid: 18-60 ❌ Invalid: <18, >60, "abc" Test boundaries: 17, 18, 60, 61
Best For Ensuring broad input coverage with fewer tests Capturing edge-case defects
Efficiency High—fewer tests, broad coverage Moderate—more tests but critical for boundary errors
When to Use For general functionality testing When boundaries are critical (e.g., age limits)

Why Combine ECP and BVA?

  • Efficiency: Use ECP for the reduction of redundant test cases to increase efficiency.
  • Effectiveness: Use BVA to catch errors in the boundary.
  • Comprehensive Testing: Ensures input scenarios are caught squarely under the blanket of testing.

Avoid common mistakes while considering ECP

By lowering redundancy and boosting coverage, Equivalence Partitioning is an effective testing approach that facilitates the testing process. Like any approach, though, if it isn't used effectively, mistakes might happen. For testing to be effective, it is essential to comprehend these typical errors. Here’s an overview:

Avoid common mistakes while considering ECP
  • Lack of prioritization
    Not all classes are equally critical. Failing to prioritize them based on risk and importance can lead to inefficient testing and delayed bug detection.
    Example of a banking application where users can transfer funds. Classes could include different types of account balances (e.g., positive balance, zero balance, negative balance).
  • Blindly relying on ECP alone
    While ECP is an effective technique, it should not be used in isolation. Combining it with other testing techniques, such as boundary value analysis and decision table testing, enhances test coverage and defect detection.
  • Inadequate handling of complex conditions
    When dealing with complex systems or input conditions, testers may struggle to properly partition the classes. It’s essential to break down complex scenarios into manageable partitions to ensure solid and complete testing that can handle complex systems.
  • Overlapping classes
    When defining partitioning classes, ensure they are distinct and non-overlapping. Overlapping classes can result in redundant tests, undermining the efficiency of ECP.
  • Neglecting boundary values
    One of the most common mistakes is overlooking boundary values while partitioning classes. Boundaries often harbor bugs, so failing to include them can lead to inadequate or incomplete test coverage.

Best practices for equivalence class partitioning testing

It’s time for the final section of the blog, “Best Practices” for Using the ECP. We’ll dive deep into the best tips for ECP, how to perform the practice, and what will be the outcome of these tips or their impact on the testing process. After that, we will look at what other techniques we can fuse with ECP.

Best practices for equivalence class partitioning testing

Understand the System Under Test (SUT)

Before applying ECP, thoroughly understand the system's requirements, functionalities, and user expectations. This understanding forms the basis for identifying relevant input conditions and equivalence Partitioning methods.

Steps to perform this practice

  1. Requirements Review: Meticulously examine the System Under Test's (SUT) requirements documents, including functional specifications, user stories, and acceptance criteria.
  2. Functionality Deep Dive: Gain a thorough understanding of the SUT's functionalities and how different components interact. This can involve code reviews, system flowcharts, and discussions with developers.
  3. User Expectations: Consider user expectations and how they might interact with the system. Understanding common use cases will help identify relevant input conditions.

What is the impact?

  1. Increased Test Efficiency: A deep understanding of the SUT's functionality leads to the identification of relevant input conditions and the creation of focused classes, avoiding unnecessary testing efforts.
  2. Improved Test Coverage: By grasping user expectations and system interactions, you ensure the classes capture real-world use cases and potential edge behaviors.

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Identify the classes wisely

Identify the classes based on input conditions that exhibit similar behavior from the system. Aim for maximum coverage while keeping the number of classes manageable. Consider factors like data types, ranges, and constraints.

Steps to perform this practice

  1. Input Conditions: Focus on the input conditions that the SUT receives. These could be user inputs, data from external sources, or internal system triggers.
  2. Similar Behavior: Group input conditions that are expected to evoke similar behavior from the SUT into classes.
  3. Manage Complexity: Aim for a balance between comprehensive coverage and manageable testing efforts. Create enough classes to capture all significant scenarios without getting bogged down in an excessive number of tests.
  4. Consideration Factors: When defining classes, consider factors like data types (integers, strings, and booleans), valid ranges (positive and negative numbers, specific date formats), and defined constraints (minimum and maximum lengths).

What is the impact?

  1. Enhanced Test Effectiveness: Grouping input conditions with similar behavior leads to the creation of test cases that effectively target specific functionalities, maximizing defect detection within each class.
  2. Optimized Testing Resources: Focusing on a manageable number of classes with broad coverage avoids test case explosion and allows for efficient use of testing resources.

Include boundary values

Don't overlook boundary values—they often harbor defects. Include it within partition classes to ensure comprehensive coverage and detect boundary-related issues effectively.

Steps to perform this practice

  1. Don't Neglect the Edges: Boundary values, which lie at the edges of defined ranges or represent minimum or maximum allowed values, are prime targets for defects.
  2. Explicit Inclusion: Ensure that boundary values are explicitly included within your chosen classes. This guarantees that the SUT's behavior at these critical points is thoroughly tested.

What is the impact?

  1. Reduced Defect Leakage: It's often a breeding ground for bugs. Explicitly including them in your ECP ensures thorough testing at critical points, minimizing the chances of defects slipping through the cracks.
  2. Improved System Reliability: By validating the SUT's behavior at the edges of its defined ranges, you contribute to a more robust system that performs consistently even under extreme input conditions.

Prioritize based on risk

Prioritize the selection and execution of the classes based on risk, complexity, and business importance. Allocate more testing efforts to critical classes and scenarios to maximize defect detection within limited resources.

Steps to perform this practice

  1. Risk Assessment: Evaluate the potential risks associated with different classes. Classes with higher risks (e.g., security vulnerabilities, critical functionalities) warrant more intensive testing.
  2. Complexity Considerations: Classes involving complex logic or intricate functionalities might require more test cases compared to simpler classes.
  3. Business Importance: Prioritize classes based on their impact on business objectives. Functionality crucial for core business operations deserves more testing focus.
  4. Resource Allocation: With limited testing resources, prioritize high-risk, complex, and business-critical classes to maximize defect detection efficiency.

What is the impact?

  1. Maximized Defect Detection: By focusing testing efforts on high-risk, complex, and business-critical classes, you significantly increase the likelihood of uncovering critical defects that could have a major impact on the system's functionality or user experience.
  2. Efficient Resource Allocation: Limited testing resources are strategically directed towards areas with the most potential for encountering issues, leading to a more productive and efficient testing process.

Review and update classes regularly

Review and update the classes regularly throughout the software development lifecycle. As requirements evolve or new features are added, ensure that the classes accurately reflect the system's current state.

Steps to perform this practice

  1. Life Cycle Integration: Don't treat ECP as a one-time activity. Integrate it throughout the Software Development Life Cycle (SDLC).
  2. Evolutionary Updates: As requirements evolve, features are added, or bug fixes are implemented, revisit your classes to ensure they accurately reflect the current state of the SUT.

What is the impact?

  1. Continued Test Relevance: As the SUT evolves, outdated classes can lead to irrelevant or incomplete testing. Regularly updating them ensures your tests remain aligned with the system's current state.
  2. Reduced Regression Risks: Keeping the classes updated minimizes the risk of introducing regressions (unintended side effects from changes) during development or updates.

Clear documentation

Document partition classes with clear descriptions, including input conditions, expected behaviors, and associated risks. Clear documentation aids in test planning, execution, and maintenance.

Steps to perform this practice

  1. Detailed Descriptions: Document each class with clear and concise descriptions. Include the input conditions that fall within the class, expected system behavior, and any associated risks.
  2. Benefits of Documentation: Clear documentation serves several purposes: it aids in test case design, facilitates communication among testers and developers, and simplifies test maintenance during future updates.

What is the impact?

  1. Improved Test Planning: Clear documentation facilitates the creation of well-defined test cases that accurately target the intended input conditions within each class.
  2. Enhanced Collaboration: Detailed records enable better communication and collaboration between testers, developers, and other stakeholders by providing a shared understanding of the testing strategy.
  3. Simplified Test Maintenance: During future updates or bug fixes, clear documentation allows testers to quickly modify or update test cases associated with specific classes, ensuring continued test effectiveness.

Perform cross-checking and Validation

Cross-check classes with stakeholders, developers, and domain experts to ensure accuracy and completeness. Validate that the identified classes cover all relevant scenarios and edge cases.

Steps to perform this practice

  1. Stakeholder Involvement: Engage with stakeholders, developers, and domain experts to review your defined equivalence classes. Get their feedback on accuracy, completeness, and whether they cover all relevant scenarios, including potential edge cases.
  2. Completeness Assurance: Validate that your identified classes encompass all significant input conditions and potential behaviors of the SUT. Ensure you haven't missed any critical scenarios.

What is the impact?

  1. Increased Test Confidence: By involving stakeholders in reviewing the equivalence classes, you gain valuable insights and ensure they encompass all relevant scenarios from different perspectives. This leads to a higher level of confidence in the test coverage.
  2. Reduced Test Bias: Independent feedback from domain experts and developers helps identify potential blind spots or biases in your initial definition of classes, leading to a more comprehensive testing approach.

Conclusion

In conclusion, Equivalence Partitioning has emerged as a valuable technique in software testing. It streamlines the test case design process by grouping input conditions with similar behaviour into equivalence classes. This allows testers to focus on a representative set of test cases within each class, ensuring efficient and targeted testing.

Considering to implement ECP in your software testing strategy? The team at Alphabin is here to help! Please get in touch with us if you have any concerns or need further help implementing ECP to meet your unique testing requirements. We will be pleased to help you develop a reliable and effective testing strategy. Let’s discussed your requirement with Professional QA tester!!

Something you should read...

Frequently Asked Questions

Who uses equivalence partitioning?
FAQ ArrowFAQ Minus Arrow

Software testers and developers use equivalence partitioning to create better test cases. By grouping inputs of the same type, it reduces the number of tests while still making sure that all the inputs are tested.

How do you identify the classes for ECP?
FAQ ArrowFAQ Minus Arrow

To identify equivalence classes for equivalence class partitioning (ECP), follow these steps:

  1. Analyze the input requirements: Look at the input values your system accepts.
  2. Find valid and invalid ranges: Divide inputs into valid and invalid groups.
  3. Group similar inputs: Values that should behave the same go into one class.
  4. Consider boundaries: Include edge cases, like minimum and maximum values.
Is Equivalence Partitioning applicable only to input testing?
FAQ ArrowFAQ Minus Arrow

No, Equivalence Partitioning (EP) is not an input testing-only feature. It can be used in input as well as in output testing.

  • Input Testing: Divide input values between valid and invalid partitions to verify system behavior.
  • Output Testing: It classified groups of expected results into parts such that different inputs that lead to equivalent expected responses are examined quickly.
When should I use ECP in the software development lifecycle?
FAQ ArrowFAQ Minus Arrow

ECP is being used during the test design phase of the software testing lifecycle (STLC) in the software development lifecycle (SDLC), covering the requirements and design phase.

About the author

Dhruvi Sachapara

Dhruvi Sachapara

Dhruvi Sachapara works at Alphabin as a highly qualified Quality Assurance Engineer.

She has a strong sense of problem-solving and an excellent eye for detecting problems. Her areas of expertise are JavaScript, Node.js, and React.js.

She efficiently handles a variety of projects, guaranteeing flawless software quality at every turn. Dhruvi is well known for her meticulous approach and her ability to produce consistently excellent results.

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Understanding Equivalence Class Partitioning in Software Testing