DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Please enter at least three characters to search
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Zones

Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

The software you build is only as secure as the code that powers it. Learn how malicious code creeps into your software supply chain.

Apache Cassandra combines the benefits of major NoSQL databases to support data management needs not covered by traditional RDBMS vendors.

Generative AI has transformed nearly every industry. How can you leverage GenAI to improve your productivity and efficiency?

Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workloads.

Related

  • Why Testing is a Long-Term Investment for Software Engineers
  • Cypress.io — The Rising Future of Web Automation Testing
  • Chain of Responsibility In Microservices
  • Building an AWS Integration for Salesforce Image Handling

Trending

  • Code Reviews: Building an AI-Powered GitHub Integration
  • Building Resilient Networks: Limiting the Risk and Scope of Cyber Attacks
  • Unlocking Data with Language: Real-World Applications of Text-to-SQL Interfaces
  • Building Custom Tools With Model Context Protocol
  1. DZone
  2. Coding
  3. Languages
  4. A Simple Manual Mock Example

A Simple Manual Mock Example

By 
Schalk Neethling user avatar
Schalk Neethling
·
Oct. 13, 08 · News
Likes (0)
Comment
Save
Tweet
Share
31.2K Views

Join the DZone community and get the full member experience.

Join For Free

Creating and using a mock object is semantically very much like using a stub, except that a mock will do a little more than a stub - it will save the history of communication so that it can later be verified. Let's add a new requirement to our LogAnalyzer class. It will have to interact with an external web service that will receive an error message whenever the LogAnalyzer encounters a filename whose length is not too long.

[img_assist|nid=5444|title=|desc=|link=url|url=http://www.manning.com/osherove/|align=left|width=142|height=178]Unfortunately, the web service we'd like to test against is still not fully functional, and even if it were, it would have taken too long to use it as part of our tests. Because of that, we'll refactor our design and create a new interface that we can use to later create a mock object of. The interface will have the methods we will need to call on our web service, and nothing else.

 

 

 

Figure 1 shows how the test will work with our MockWebService.

[img_assist|nid=5443|title=|desc=|link=none|align=none|width=485|height=350]

First off, let's extract a simple interface that we can use in our code under test, instead of talking directly to the web service.

public interface IWebService
{
void LogError(string message);
}

This interface will serve us when we want to create stubs as well as mocks, without needing to have an external dependency on a project we have no control of. Next, we'll create the mock object itself. It may look like a stub, but it contains one little bit of extra code that makes it a mock object.

public class MockService:IWebService
{
public string LastError;
public void LogError(string message)
{
LastError = message;
}
}

Our mock implements an interface just like a stub, but saves some state for later, so that our test can then assert and verify that our mock was called correctly. Listing 1 shows what the test might look like:

Listing 1: The log analyzer under test actually calls our mock object, which holds on to the string that is passed into the implemented method, and later asserted in the test.

[Test]
public void Analyze_TooShortFileName_CallsWebService()
{
MockService mockService = new MockService();
LogAnalyzer log = new LogAnalyzer(mockService);
string tooShortFileName="abc.ext";
log.Analyze(tooShortFileName);
Assert.AreEqual("Filename too short:abc.ext", |#1
mockService.LastError); |#1
}
public class LogAnalyzer
{
private IWebService service;
public LogAnalyzer(IWebService service)
{
this.service = service;
}
public void Analyze(string fileName)
{
if(fileName.Length<8)
{
service.LogError("Filename too short:" |#2
+ fileName); |#2
}
}
}

Annotation #1:
The assert is done against the mock service, and not against the class under test
Annotation #2:
The method part we're going to test

Notice how the assert is performed against the mock object, and not against the LogAnalyzer class. That's because we are testing the interaction between LogAnalyzer and the web service. We still use the same dependency injection techniques, but this time the stub also makes or breaks the test. That's why it's a mock object. Also notice that we are not writing the tests directly inside the mock object code. There are several reasons for this.

We'd like to be able to re-use the mock object in other test cases, with other asserts on the message. If the assert is found inside the mock object, whoever is reading the test will have no idea what we are asserting. We will be hiding essential information from the test code, which hinders the readability and maintainability aspect of the test.

In many scenarios in your tests, you might find that you need to replace more than one object for the test to be able to work, which involves combining mocks and stubs.

This article is taken from the book The Art of Unit Testing. As part of a chapter on interactive testing using mock objects, this segment shows how to create and use a mock object and helps differentiate mock objects from stubs.

Testing Mock object Object (computer science) Web Service Stub (distributed computing)

Opinions expressed by DZone contributors are their own.

Related

  • Why Testing is a Long-Term Investment for Software Engineers
  • Cypress.io — The Rising Future of Web Automation Testing
  • Chain of Responsibility In Microservices
  • Building an AWS Integration for Salesforce Image Handling

Partner Resources

×

Comments
Oops! Something Went Wrong

The likes didn't load as expected. Please refresh the page and try again.

ABOUT US

  • About DZone
  • Support and feedback
  • Community research
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 100
  • Nashville, TN 37211
  • support@dzone.com

Let's be friends:

Likes
There are no likes...yet! 👀
Be the first to like this post!
It looks like you're not logged in.
Sign in to see who liked this post!