Test automation is very crucial for providing quality applications rapidly in the modern, high-speed environment for developing software applications. This helps teams execute a lot more test scenarios in less time, minimizes manual labor, and helps accelerate the release cycles. However, the effectiveness of automated testing greatly depends on proper testing techniques. With a strategic approach towards test coverage, some important issues might be noticed by automated testing, or overweight, inefficient tests that defeat the purpose of automation will be developed.
Equivalence partitioning is one such effective strategy for this. This technique allows testers to concentrate their efforts on automating test suites by classifying the input data or “partitions” that are likely to exhibit similar behavior. In doing so, testers are confident of adequate coverage with reduced test cases, hence the efficiency and precision of automation. We will introduce the idea of equivalence partitioning, go through a few benefits, and demonstrate how to incorporate it into your real test automation strategy.
What is Equivalence Partitioning?
Equivalence Partitioning or Equivalence Class Partitioning is a black box software testing technique that tries to reduce the number of test cases to an optimum number yet still provides adequate test coverage. In simple terms, the basic approach for performing equivalence partitioning is that the input data of any software application is divided into partitions or classes in such a way that all inputs belonging to a single partition or class are processed uniformly by the system. That is, if one input in a partition behaves correctly, all other inputs within that partition should behave similarly, and testers can thus choose only one representative input from each partition to test.
In this way, the tester can identify test cases that can be expected to reveal a series of errors while redundancy is minimal. Representative values from each equivalence class enable the testers to actually validate valid and invalid inputs efficiently, ensuring that varied scenarios are handled by the application correctly. Equivalence partitioning is also extremely useful where the input domain is big enough that complete testing is out of the question. In this respect, the method optimizes the testing process by allowing a high test coverage using fewer numbers of test cases, enabling good quality assurance without consuming unnecessary time and resources.
Examples of Equivalence Partitioning
To understand the equivalence partitioning testing technique for designing test cases in a better way we can consider an appropriate example. In the example, we will take an example of validating an age input field for a form that only allows adults (Min Age: 18, Max Age: 59) to register.
We will create test conditions and the expected behavior of the testing. Then we will design our test cases based on the Equivalence Partitioning testing technique.
Property | Value |
Test Name | Validate an adult user’s age in the input form. |
Test Condition | A valid adult user’s age must be between [18 and 59 years], both included. |
Expected Behaviour | If the input age is not valid (i.e. min age = 18 and max age = 59), then the form must prompt a “You must be between 18 years to 60 years to register.” alert. |
Test cases design Equivalence Partitioning:
To test the functionality of the user age validation from the input form (i.e., it ages between 18 to 59, both inclusive; else, produce an alert message), we will first note down all the possible matching inputs to test and then place them into respective classes. In this case, we can divide our test cases into three major groups or classes as shown below:
- User Age < 18 – Invalid – (E.g. 1, 2, 3, 4, 5, …, up to 17).
- 18 <= User Age <= 59 – Valid – (E.g. 18, 19, 20, 21, …, upto 59).
- User Age > 59 – Invalid – (E.g. 60, 61, 62, 63, 64, …)
Now, if we have to test all the values individually, the test cases set will become too large for testing, won’t they? But here lies the beauty of the equivalence testing technique. Though we have a very large set of test cases to pick, we only need to test one or two values from each partition or class. This reduces the number of test cases we need to execute efficiently and increases our test coverage. So, we can perform the limited test cases only, and the test value can be picked randomly from each class to ensure test robustness and track the expected behavior for each input.
Why Equivalence Partitioning?
Equivalence Partitioning offers numerous benefits that make it an essential testing technique. Let’s delve into it for a better understanding of why Equivalence Partitioning should be your go-to approach.
- Larger Test Coverage: Equivalence Partitioning allows for coverage of a broader range of input values using only a small set of test cases. This method allows for thorough testing without requiring the effort of testing every possible combination.
- Efficiency of Time and Effort: Equivalence Partitioning allows test designers to create fewer test cases, saving both time and effort. This is particularly useful when, for example, testing HTML/CSS to be used in mass marketing emails where turnaround time and overall cost are of utmost importance.
- Enhanced Error Detection: By testing values with layers of importance and boundary values inside the equivalence classes, the chances of discovering a defect are improved. More specifically, when designing tests, Equivalence Partitioning helps limit the pool of test case values within each equivalence class to ensure critical items are tested and boundaries are tapped into, and that errors are discovered as a result.
- Reusability of Test Cases: Equivalence Partitioning defines how test cases can be reusable. As detailed above, equivalence classes can be designed during the first round of testing only to generate continued testing into subsequent test cycles or other projects. Building equivalence classes into the test design profile reduces the need to create new test cases during repeat testing cycles.
- Better Maintainability: Equivalence Partitioning helps simplify the maintainability of test cases as well. If changes are made to the equivalence classes, a writer can apply the changes across various test cases as the objectives have been outlined by the equivalence class. This level of maintainability eases the effort by test designers for fast and efficient test cases.
Step-by-Step Process of Equivalence Partitioning
Equivalence Partitioning (EP) involves a systematic approach to divide the input domain of a system into distinct classes that are treated similarly by the software. Here’s a step-by-step guide to implementing Equivalence Partitioning in your testing process:
- Identify the Input Domain:
Identify the input data or conditions to be tested first. This could include all of the data inputs supplied by a user, and any external system inputs or conditions throughout the application that affect the behavior of the application.
- Divide Inputs into Equivalence Classes:
Partition every input identified into equivalence classes or partitions. An equivalence class is a subgroup of the input domain that the software is expected to process identically. These are commonly classified as:
- Valid Equivalence Classes: Includes the inputs that, once processed by the system, should be accepted and processed accordingly.
- Invalid Equivalence Classes: Includes input which, when processed by the system, should not be accepted or rejected with an error.
- Select Representative Test Cases:
Select a single or a small number of representative values from each equivalence partition to create your test cases. You assume that if one input from an equivalence partition works as expected, all other inputs in that partition would also work in a similar fashion.
- Design Test Cases:
Design test cases from the selected values that are representative. Ensure that, while developing each test case, the input, expected result, and also any specific conditions the test case should be run on are clearly highlighted.
- Execute Test Cases:
Run the test cases that have been designed against the software. Analyze the results to ensure that the software behaves according to the expectations for each representative input.
Advantages of Equivalence Partitioning
Equivalence Partitioning offers several benefits that make it a valuable technique in the software testing process, especially in the context of test automation. Here are some key advantages:
- Reducing Test Cases: Equivalence partitioning can minimize the number of test cases and group inputs into classes. This allows testers to test representative values from each class, instead of testing every input.
- Improving Efficiency: The use of equivalence partitioning is efficient as it reduces the number of test cases to execute with which the manual or automated testing is done with fewer test cases.
- Ensures Adequate Coverage: Equivalence partitioning also allows for adequate test coverage as it guarantees all important input scenarios will be tested, and that it will help uncover potential defects in all scenarios possible.
- Finds Boundaries: The use of equivalence partitioning will help discover and test specific boundary conditions, which are also more likely for defects to happen in cases for which an application is tested.
- Simplification of Test Design: Equivalence partitioning simplifies a test design because of its structure in its execution, plus it will also help realize simple and meaningful designs that may also simplify realizing new and effective test cases.
- Detect Defects Early: Through systematic testing of input classes, equivalence partitioning will uncover defects early on in the development process, and will assist develop a better understanding of item costs during and after later development.
- Improves Communication: It will help to improve communication across the testing strategy discussions and possible item alignment across testers, developers, and stakeholders.
Disadvantages of Equivalence Partitioning
Equivalence Partitioning also brings some disadvantages as mentioned below:
- Potential Miss of Specific Defects: Equivalence partitioning only focuses on confirming a defect did not occur with a “representative” input and, therefore, may miss some defects that arise only for certain inputs associated with their respective input segment.
- Depends on Accurate Definitions of Partitions: Equivalence partitioning can only be as good as the definitions of the equivalence classes. If the definitions of partitioning were incorrect, the software testing could potentially have gaps.
- Limited to Black Box Testing: The equivalence partitioning method does test grow beyond the external interface of the software, and could potentially miss defects caused due to the internal code logic.
- Not Ideal for Sophisticated Logic: The equivalence partitioning technique alone may not be beneficial for software exhibiting sophisticated logic that can produce a large amount of defects.
- Potential Overlook of Boundary Values: The technique does identify and test edge conditions, however, the premise of the method is to miss critical edge cases unless the tester, for example, further digressed with boundary value analysis.
Conclusion
Equivalence Partitioning is a useful method in testing software, especially in test automation. By categorizing inputs into meaningful partitions and classes, we get thorough test coverage, but simultaneously reduce the number of specifically classified tests executed. This effectiveness is accomplished by effectively testing values that are representative throughout these select meaningful classes of the inputs. As with any testing strategy, Equivalence Partitioning is also subject to limitations and should be implemented with consideration for other methods, such as Boundary Value Analysis, to achieve better results. If testers learn how to use Equivalence Partitioning and its implications, they will be able to greatly increase efficiency and effectiveness in their testing processes, ultimately leading to quality software being delivered in a timely manner.
Frequently Asked Questions
Q. Why do we use test case design techniques?
We can engage test case design techniques that will allow us to fill our testing process in association with correctly identifying significant testing requirements and designing appropriate test cases to ultimately test our software against the designed robust test cases.
Q. How does Equivalence Partitioning differ from Boundary Value Analysis?
While Equivalence Partitioning divides inputs into groups that should be treated similarly, Boundary Value Analysis (BVA) focuses on testing at the boundaries of these partitions. BVA is often used in conjunction with EP to ensure that edge cases at the boundaries are also tested.
Q. When should Equivalence Partitioning be applied?
Equivalence Partitioning is best applied when the input domain of the system can be easily divided into categories with expected similar behavior. It is particularly useful in functional testing, where the goal is to validate that the system behaves correctly for a range of input scenarios.
Q. Is Equivalence Partitioning applicable only to input testing?
No, Equivalence Partitioning can also be applied to outputs or other conditions where there is a need to categorize scenarios into groups with expected similar outcomes.
Q. What are the types of partitions in Equivalence Partitioning?
Equivalence partitions can be classified into:
Valid Partitions: Contains all the valid inputs for a test case, which should be processed correctly by the system.
Invalid Partitions: Contain all the invalid inputs that the system should reject or handle with an appropriate error message.