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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 that you are testing the login system of a banking application. Would it be more intelligent to zero in on a small number of carefully selected test cases covering all the scenarios rather than verifying every conceivable user input? Equivalence Class Partitioning (ECP) then becomes very useful!

ECP is a black-box testing technique used for efficiency. It ensures complete coverage and helps to reduce the test case numerate. ECP groups input into equivalence classes rather than testing every input point of interest individually. One test case can thus reflect a whole set of related inputs.

The technique keeps test quality and accuracy while saving time, effort, and money.

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What is equivalence partitioning?

A black-box testing technique called equivalency partitioning groups data into sets, so reducing the required test cases while ensuring thorough coverage.

For comprehensive input ranges, especially this approach is quite helpful. Testers divided the data into "equivalence classes," groups expected to behave the same way, instead of testing every value. Choosing one test case from every class lets you test a large range of inputs without looking at every single value.

To assist us in understanding Equivalence Partitioning, let us consider an example.

Example: Testing a Login Form

Suppose that we have a login form containing a username field. In order to apply Equivalence Partitioning, we partition the potential input values into equivalence classes on the basis of expected behavior:

  • Valid Input Class: Any alphanumeric string (e.g., "user123").
  • Invalid Input Class 1: Empty username (e.g., "").
  • Invalid Input Class 2: Special characters (e.g., "@#$%").
  • Invalid Input Class 3: Input with spaces (e.g., "user name").

Now, instead of testing every possible username, we can select one representative value from each equivalence class:

  • Valid Input: "user123"
  • Invalid Input 1: ""
  • Invalid Input 2: "@#$%"
  • Invalid Input 3: "user name"

Step-by-Step Process of Equivalence Partitioning

This technique saves time and increases efficiency while guaranteeing effective software testing. You can effortlessly implement Equivalence Class Partitioning using this easy, step-by-step procedure.

Analyze Requirements and Identify Input Fields

Review the software requirements with completeness before you start developing the equivalence classes.

All input fields within the application.
Data types (numeric, string, boolean, etc.)
Expected behavior for various inputs.

📌 Example: When the online form requires users to input their age (between 18 and 60), then the input field must be of integer data type and only items within this range should be accepted by the 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

With a clear understanding of what ECP is and its importance in software testing, it’s time to explore why so many testers around the world rely on this technique.

Equivalence class partitioning works seamlessly with integration testing methods. Learn more in our system integration testing section.

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 done the theoretical section of the blog, now let's visit the practical section of the blog, beginning with practical scenarios in which we utilize ECP. We will explore some real-life situations, starting from online shopping to discount coupons as well.

Our software testing expertise enables us to provide customized solutions that fulfill our client's individual requirements, ensuring effective and comprehensive 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 reducing redundancy and increasing coverage, Equivalence Partitioning is a powerful testing method that makes the process of testing easier. As with any method, however, if it isn't properly utilized, errors may occur. To make testing effective, it is important to understand these common faults. Here's a rundown:

Avoid common mistakes while considering ECP
  • Lack of prioritization
    Not all classes are of the same importance. Not prioritizing them according to risk and severity may result in ineffective testing and late bug detection.
  • Blindly relying on ECP alone
    While ECP is a good technique, it has to be used in combination. Using it along with other testing methods like boundary value analysis and decision table testing improves test coverage and defect detection.
  • Inadequate handling of complex conditions
    In case of intricate systems or input conditions, testers might not be able to divide the classes into appropriate partitions. It's crucial to split complicated scenarios into tractable partitions in order to guarantee strong and comprehensive testing capable of managing complicated systems.
  • Overlapping classes
    The most frequent error is not considering boundary values while partitioning classes. Boundary values are where bugs tend to hide; missing them can lead to poor or incomplete test coverage.
  • 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

Now that we know what equivalence class partitioning (ECP) is, let's move on to the best practices of how to use it to enhance your testing process and outcome.

Best practices for ECP testing

Understand the System Under Test (SUT)

Prior to using ECP, comprehend the requirements, functionalities, and expectations of the system completely. This is critical in order to identify input conditions and formulate effective equivalence classes.

Steps to perform this practice

  1. Review requirements and user stories.
  2. Get deep into system features and speak with developers.
  3. Keep in mind user expectations and typical usage scenarios.

What is the impact?

  • Increased Test Efficiency: Assists in developing targeted test classes, minimizing unnecessary testing.
  • Improved Test Coverage: Assures that classes test real-world usage scenarios and edge cases.

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Identify the classes wisely

Cluster input conditions behave similarly in equivalence classes. The aim is to achieve maximum coverage with minimal classes.

Steps to perform this practice

  1. Concentrate on the input conditions the system accepts.
  2. Group inputs that trigger similar behavior into classes.
  3. A balance between total coverage and bearable complexity.

What is the impact?

  • Enhanced Test Effectiveness: Identifies defects more efficiently.
  • Optimized Testing Resources: Prevents test case explosion, conserving time and resources.

Include boundary values

Boundary values are usually where the defects are hidden. Make sure to include them in your test classes explicitly to have complete coverage.

Steps to perform this practice

  1. Pay special attention to boundary values, particularly at the boundaries of specified ranges.
  2. Ensure boundary values are members of the equivalence classes.

What is the impact?

  • Reduced Defect Leakage: Catches defects at critical points.
  • Improved System Reliability: Makes the system perform optimally under adverse conditions.

Prioritize based on risk

Prioritize test cases based on risk, complexity, and business importance to maximize defect detection and optimize testing resources.

Steps to perform this practice

  1. Assess the risk associated with different classes.
  2. Focus more testing on high-risk or complex classes.

What is the impact?

  • Maximized Defect Detection: Focuses on critical areas that impact the system.
  • Efficient Resource Allocation: Ensures testing resources are used where they matter most.

Regularly review and update classes

As the system changes, revise your equivalence classes to accommodate changes in functionality or requirements.

Steps to perform this practice

  1. Implement ECP across the Software Development Life Cycle (SDLC).
  2. Revisit classes as features are added or updated.

What is the impact?

  • Continued Test Relevance: Keeps tests aligned with system updates.
  • Reduced Regression Risks: Minimizes the chance of new defects due to changes.

Maintain clear documentation

Document each equivalence class thoroughly, including descriptions, input conditions, expected behaviors, and risks. This facilitates test planning, execution, and subsequent updates.

Steps to perform this practice

  1. Offer comprehensive, clear documentation for every class.
  2. Maintain records updated to show changes in the testing approach.

What is the impact?

  • Improved Test Planning: Makes test case creation easier.
  • Enhanced Collaboration: Improves communication between testers, developers, and stakeholders.
  • Simplified Test Maintenance: Makes updates easy as the system evolves.

Perform cross-checking and Validation

Inspect the equivalence classes with domain experts, developers, and stakeholders to check completeness and correctness.

Steps to perform this practice

  1. Engage stakeholders in class reviewing.
  2. Ensure that all applicable input conditions and situations are addressed.

What is the impact?

  • Increased Test Confidence: Provides thorough coverage and improved test coverage confidence.
  • Reduced Test Bias: Expert feedback removes blind spots.

Conclusion

Equivalence class partitioning is a smart way to cut down the number of test cases while still ensuring complete software testing. Testers could ensure catching critical defects by combining inputs into equivalence classes and boundary value analysis.

ECP is used at Alphabin in the context of automation testing to support our clients' need to improve test coverage while minimizing manual effort, thereby delivering higher quality in the software being built. It enables applications to be tested more speedily and with greater accuracy for deployment purposes.

Need effective and reliable software testing? We Have Alphabin's automation testing services to help! Let’s discuss 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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