Test Cases

How to Write a Good Test Case

Trace requirements from beginning to end

Testers create test cases with steps to test software, systems, or applications for various conditions and input values. This article discusses those elements and how you can write a good test case for your software system and avoid bad test cases.

 

 

What is a Good Test Case?

A good test case has high coverage, meaning it covers as many different potential scenarios as possible. Also, it should be precise and reproducible.

Furthermore, a test case should be self-contained so it does not require any external factors to run. This makes it easier to isolate issues and ensure accurate results.

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By providing a central repository for all test cases and requirements and enabling various team members to collaborate and change them as necessary, Doc Sheets software can help your test case management process become more efficient.

The Doc Sheets traceability tools enable traceability between test cases and requirements, making it simple to track and propagate changes to requirements to the related test cases. Verifying that all necessary tests have been run is made simpler by the traceability between test cases and requirements.

Doc Sheets software built-in tools manage test cases and requirements versions automatically. This can save you a lot of time and effort and help to keep your project on track. In addition, Doc Sheets software provides tools for managing change requests so that changes can be systematically reviewed and approved before implementation. This helps ensure that only approved changes are made to test cases and that all stakeholders are aware of proposed changes.

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What are the elements of a good test case?

To write a good test case, you need to understand the feature you’re testing and what inputs and outputs you expect. Additionally, you should know what type of testing you perform, such as functional testing, regression testing, or performance testing. Once you have all that information, you can start writing your test case. But there’s more to it than just that – there are certain elements your test case should include being considered good. This article also presents those elements and how you can write a good test case for your software system.

 

How to Write Good Test Cases?

For this, there is no definitive answer. However, certain guidelines can help you write effective test cases.

Some tips on how to write good test cases include:

  1. Make sure your test cases are well-organized and easy to understand.
  2. Use clear and concise language when writing your test cases.
  3. Include all relevant information in your test cases, such as expected results, prerequisites, and steps to take if the expected result is not achieved.
  4. Be thorough in your testing, and don’t leave any potential bugs or issues unaddressed.
  5. Keep your test cases up-to-date as the software being tested changes over time.
  6. Make use of automation and other tools to improve the efficiency of your testing process.
  7. Share your test cases with others so they can be reviewed and improved.
  8. Constantly strive to improve the quality of your test cases.

Following these tips can help you write effective test cases that can improve the quality of your software.

Using these tips, you can ensure that your test cases are effective and help you find defects in the software you’re testing.

Additionally, consider using automation and other tools to improve the efficiency of your testing process. Automation can help you run your test cases more quickly and accurately, allowing you to focus on other tasks.

-Use simple language

The language used in writing test cases should be simple without technical jargon that might confuse someone unfamiliar with the software under test, The simple language understanding the purpose of testing for everyone involved.

It is also essential to use language that is specific and unambiguous. In this manner, it is possible to reproduce the test case consistently and reliably.

-Be clear and concise

It is essential to be clear and concise when writing a test case. This means that you should avoid using jargon or complicated language and instead use simple, straightforward language that everyone can easily understand. Additionally, it is advisable to keep the test case as short as possible while providing all the necessary information.

-Include a clear and concise description

It’s essential to describe what you are testing in your test case clearly and concisely. This description should be easy to understand and should provide enough information for someone to know what the test case is testing without having to read the entire thing.

-Identify the expected result

Your test case should also identify the expected result of the test. This expected result can be either pass or fail, depending on what you are testing. For example, if you are testing whether a button works, your expected result would be “pass” if the button works as intended and “fail” if it does not.

-Include any necessary setup instructions

If your test case requires any special setup (such as creating a new account or downloading a file), be sure to include these instructions in your test case. These setup instructions ought to be simple to understand so anyone can follow them.

-Provide step-by-step instructions for running the test

Finally, your test case should provide step-by-step instructions for running the test. These instructions should be easy to follow and include all necessary details, such as what data to use and what to expect after running the test.

-Structure your test cases

When it comes to writing test cases, there is no one-size-fits-all approach. However, there are some best practices that you can follow to ensure that your test cases are well-structured and effective.

Here are some tips for structuring your test cases:

  1. Use a consistent format
  2. Make sure each test case has a unique identifier
  3. Include a brief description of the test case
  4. Specify the input data and expected output
  5. Clearly identify the steps to be followed
  6. Indicate the expected result for each step
  7. Assign a priority to each test case
  8. Include information on who executes the test case
  9. Specify the date when the test case was created or last updated
  10. Use templates to standardize your test cases

-Include all relevant details

When writing a test case, it is important to include all relevant details. It should include the expected outcome of the test, the steps necessary to reproduce the issue, and any other relevant information.

To write an effective test case, you should first understand the purpose of the test case. Is it to verify a specific functionality? Is it to find a bug? Once you know the purpose of the test case, you can decide what details you need to include.

The steps necessary to reproduce the issue are critical in a test case. Without these steps, it is difficult or impossible for someone else to recreate the issue. Be as specific as possible when outlining the steps, and include any relevant information, such as browser versions and operating systems.

Finally, make sure to include any other relevant details (error messages, screenshots, or anything else) that could be useful in troubleshooting the issue.

 

 

How to Avoid Bad Test Cases?

It is essential to remember a few things when writing test cases to avoid writing bad test cases. First, make sure the test case is specific and covers one functionality at a time. A good way to do this is to use the “test case ID” to label each test case with a unique identifier. This helps trace each test case back to its original requirement in this manner.

Second, make sure the test steps are clear and easy to follow. The steps should have a number for easy referencing. Each step should also include any relevant data needed for that step.

Third, make sure each step has clearly stated expected results. The expected result should match the actual result from running the test case. If there is a discrepancy, then the test case needs to be updated.

Fourth, include notes or comments in the test case if needed. These can explain why a certain step is necessary or what conditions need to be met for the test case to be valid.

Finally, make sure to review the test cases regularly. This help ensures that they are still relevant and up-to-date. If a change is made to the system under test, then the test cases need to be updated accordingly.

These following tips help avoid bad test cases and ensure that only quality testing is done.

-Don’t make assumptions

Assuming that your code is working as intended can lead to severe issues further down the line. Testing each function thoroughly with various inputs is the best way to ensure that your code functions correctly.

This means testing for all possible scenarios, not just the happy path. For example, if you have a text field that accepts a maximum of 10 characters, you should test what happens when someone enters 11 characters or no characters at all.

Failing to test your code properly can have dire consequences. In mission-critical applications, a single bug could cause loss of life or billions of dollars in damages. In less critical applications, bugs can still cause frustration and wasted time for users trying to use your application.

It’s important to remember that writing tests before creating code. This allows you to think about all the different scenarios that need to be covered and ensures that the tests are comprehensive. It can be tempting to write tests after the fact, but this usually leads to incomplete tests that don’t cover all the corner cases.

-Don’t duplicate code

Programmers should avoid duplicating code. Otherwise, it is hard to follow and maintain the code and increases the chances of introducing bugs.

If you find yourself copy-pasting the same code in multiple places, it’s a good idea to refactor it into a separate function or method. This makes your code more DRY (Don’t Repeat Yourself) and easier to change in the future if the requirements for that code change.

It’s also important to avoid duplicating data. For example, if you have a list of countries in your database, there’s no need to duplicate that data in a file or spreadsheet. If the data changes, you only have to update it in one place.

Duplicating code or data is usually a sign of poorly organized code. It’s essential to take the time to think about code structure for organizing more efficiently.

-Don’t use magic numbers

A magic number is a numeric literal used in multiple places in code without being given a meaningful name. For example, consider the following code:

if (x > 10 && x < 20) {

// do something

}

This code is using the magic numbers 10 and 20. It would be more readable if these numbers were given names:

const MIN = 10;

const MAX = 20;

if (x > MIN && x < MAX) {

// do something

}

Giving magic numbers meaningful names makes the code easier to understand and maintain. It also makes it easier to change the values of those numbers if the requirements change in the future.

In the example above, we could replace the magic numbers with constants like this:

const MIN = 10;

const MAX = 20;

if (x > MIN && x < MAX) {

// do something

}

This change can significantly affect your code’s readability, although small.

-Don’t write long methods

Methods should be short and to the point. If a method is getting too long, it’s a good sign that it’s doing too much and needs refactoring. Long methods are usually a sign of bad design and can be challenging to understand and maintain.

It’s not always easy to know when a method is getting too long, but a good rule of thumb is that it should fit on one screen. You shouldn’t have to scroll to see the entire method. If you find yourself scrolling, it’s probably time to break the method into smaller methods.

-Don’t use comments to explain bad code

Only use comments when they are absolutely necessary. They should never be used to explain bad code. If your code is so complex that it requires comments to understand, it’s probably time to refactor it.

Comments should explain why something is done, not how it’s done. For example, the following comment is unnecessary because it doesn’t add anything that can’t be inferred from the code itself:

// set width to 100px

element.style.width = “100px”;

A better way to write this would be:

// make element full width

element.style.width = “100%”;

The first comment doesn’t add anything that isn’t already obvious from the code, but the second comment explains why the code is doing what it’s doing. A comment should capture this kind of information.

-Don’t include too much detail

When writing a test case, it is important to include enough detail to make the case clear and unambiguous. However, including too much detail can make the case difficult to understand and can lead to Test Case bloat.

To strike the right balance, include only the details that are absolutely necessary to understand what is being tested and why. Any information that is not essential should be left out. Including too much detail in a test case can make it hard to understand what is being tested.

-Don’t forget edge test cases

It’s important to remember edge cases when writing test cases. Edge cases are unusual or unexpected inputs that can occur during testing. These inputs can cause the system to behave in an unexpected way, which can lead to errors.

Some tips for handling edge cases:

-Think about all the different ways a user could input data into the system.

-Try to break the system by inputting invalid data.

-Make sure to test corner cases, such as boundary values (e.g., maximum and minimum input values).

-Be creative in your testing, and don’t be afraid to try unconventional things.

Here are some examples of edge cases:

-A user tries to input a negative number when the system expects a positive number.

-A user inputs a decimal point when only integers are allowed.

-A user inputs a character when only numbers are allowed.-A user tries to input more characters than the maximum allowed.

-A user leaves a required field blank.-A user inputs a date outside the acceptable range.

-A user tries to input a value that is too large or too small.

-A user inputs a value that is not in the expected format (e.g., incorrectly formatted phone number).

-A user inputs a special character when only alphanumeric characters are allowed.

 

Conclusion

To wrap up, writing good test cases is about thinking from the user’s perspective and anticipating every possible way they might use the software. By following these tips, you can write test cases that are thorough and effective in finding bugs.