Category Archives: Software Testing

Unit Testing with Mock Objects (Week 6)

This article is posted by IBM and explains how the Mock Object can be used. In this article we will find some of the benefits of using Mock Objects for writing Unit tests for objects that act as mediators. Unit testing has become widely accepted for software development. When you write an object you must also provide an automated test class containing methods that put the object through its paces, calling its various public methods with various parameters and making sure that the values returned are appropriate.When we’re dealing with simple data or service objects, writing unit tests is straightforward. However, many objects rely on other objects or layers of infrastructure. When it comes to testing these objects, it is often expensive, impractical, or inefficient to instantiate these collaborators. For example, to unit test an object that uses a database, it may be burdensome to install, configure, and seed a local copy of the database, run your tests, then tear the local database down again.A mock object conforms to the interface of the real object, but has just enough code to fool the tested object and track its behavior. For example, a database connection for a particular unit test might record the query while always returning the same hardwired result. As long as the class being tested behaves as expected, it won’t notice the difference, and the unit test can check that the proper query was emitted.

Here are some of the common coding style for testing with mock objects:

  • Create instances of mock objects
  • Set state and expectations in the mock objects
  • Invoke domain code with mock objects as parameters
  • Verify consistency in the mock objects

Citation
https://www.ibm.com/developerworks/library/j-mocktest/


From the blog Table of Code by Andon S and used with permission of the author. All other rights reserved by the author.

Unit Testing with Mock Objects (Week 6)

This article is posted by IBM and explains how the Mock Object can be used. In this article we will find some of the benefits of using Mock Objects for writing Unit tests for objects that act as mediators. Unit testing has become widely accepted for software development. When you write an object you must also provide an automated test class containing methods that put the object through its paces, calling its various public methods with various parameters and making sure that the values returned are appropriate.When we’re dealing with simple data or service objects, writing unit tests is straightforward. However, many objects rely on other objects or layers of infrastructure. When it comes to testing these objects, it is often expensive, impractical, or inefficient to instantiate these collaborators. For example, to unit test an object that uses a database, it may be burdensome to install, configure, and seed a local copy of the database, run your tests, then tear the local database down again.A mock object conforms to the interface of the real object, but has just enough code to fool the tested object and track its behavior. For example, a database connection for a particular unit test might record the query while always returning the same hardwired result. As long as the class being tested behaves as expected, it won’t notice the difference, and the unit test can check that the proper query was emitted.

Here are some of the common coding style for testing with mock objects:

  • Create instances of mock objects
  • Set state and expectations in the mock objects
  • Invoke domain code with mock objects as parameters
  • Verify consistency in the mock objects

Citation
https://www.ibm.com/developerworks/library/j-mocktest/


From the blog Table of Code by Andon S and used with permission of the author. All other rights reserved by the author.

Unit Testing with Mock Objects (Week 6)

This article is posted by IBM and explains how the Mock Object can be used. In this article we will find some of the benefits of using Mock Objects for writing Unit tests for objects that act as mediators. Unit testing has become widely accepted for software development. When you write an object you must also provide an automated test class containing methods that put the object through its paces, calling its various public methods with various parameters and making sure that the values returned are appropriate.When we’re dealing with simple data or service objects, writing unit tests is straightforward. However, many objects rely on other objects or layers of infrastructure. When it comes to testing these objects, it is often expensive, impractical, or inefficient to instantiate these collaborators. For example, to unit test an object that uses a database, it may be burdensome to install, configure, and seed a local copy of the database, run your tests, then tear the local database down again.A mock object conforms to the interface of the real object, but has just enough code to fool the tested object and track its behavior. For example, a database connection for a particular unit test might record the query while always returning the same hardwired result. As long as the class being tested behaves as expected, it won’t notice the difference, and the unit test can check that the proper query was emitted.

Here are some of the common coding style for testing with mock objects:

  • Create instances of mock objects
  • Set state and expectations in the mock objects
  • Invoke domain code with mock objects as parameters
  • Verify consistency in the mock objects

Citation
https://www.ibm.com/developerworks/library/j-mocktest/


From the blog Table of Code by Andon S and used with permission of the author. All other rights reserved by the author.

Unit Testing with Mock Objects (Week 6)

This article is posted by IBM and explains how the Mock Object can be used. In this article we will find some of the benefits of using Mock Objects for writing Unit tests for objects that act as mediators. Unit testing has become widely accepted for software development. When you write an object you must also provide an automated test class containing methods that put the object through its paces, calling its various public methods with various parameters and making sure that the values returned are appropriate.When we’re dealing with simple data or service objects, writing unit tests is straightforward. However, many objects rely on other objects or layers of infrastructure. When it comes to testing these objects, it is often expensive, impractical, or inefficient to instantiate these collaborators. For example, to unit test an object that uses a database, it may be burdensome to install, configure, and seed a local copy of the database, run your tests, then tear the local database down again.A mock object conforms to the interface of the real object, but has just enough code to fool the tested object and track its behavior. For example, a database connection for a particular unit test might record the query while always returning the same hardwired result. As long as the class being tested behaves as expected, it won’t notice the difference, and the unit test can check that the proper query was emitted.

Here are some of the common coding style for testing with mock objects:

  • Create instances of mock objects
  • Set state and expectations in the mock objects
  • Invoke domain code with mock objects as parameters
  • Verify consistency in the mock objects

Citation
https://www.ibm.com/developerworks/library/j-mocktest/


From the blog Table of Code by Andon S and used with permission of the author. All other rights reserved by the author.

Unit Testing with Mock Objects (Week 6)

This article is posted by IBM and explains how the Mock Object can be used. In this article we will find some of the benefits of using Mock Objects for writing Unit tests for objects that act as mediators. Unit testing has become widely accepted for software development. When you write an object you must also provide an automated test class containing methods that put the object through its paces, calling its various public methods with various parameters and making sure that the values returned are appropriate.When we’re dealing with simple data or service objects, writing unit tests is straightforward. However, many objects rely on other objects or layers of infrastructure. When it comes to testing these objects, it is often expensive, impractical, or inefficient to instantiate these collaborators. For example, to unit test an object that uses a database, it may be burdensome to install, configure, and seed a local copy of the database, run your tests, then tear the local database down again.A mock object conforms to the interface of the real object, but has just enough code to fool the tested object and track its behavior. For example, a database connection for a particular unit test might record the query while always returning the same hardwired result. As long as the class being tested behaves as expected, it won’t notice the difference, and the unit test can check that the proper query was emitted.

Here are some of the common coding style for testing with mock objects:

  • Create instances of mock objects
  • Set state and expectations in the mock objects
  • Invoke domain code with mock objects as parameters
  • Verify consistency in the mock objects

Citation
https://www.ibm.com/developerworks/library/j-mocktest/


From the blog Table of Code by Andon S and used with permission of the author. All other rights reserved by the author.

Unit Testing with Mock Objects (Week 6)

This article is posted by IBM and explains how the Mock Object can be used. In this article we will find some of the benefits of using Mock Objects for writing Unit tests for objects that act as mediators. Unit testing has become widely accepted for software development. When you write an object you must also provide an automated test class containing methods that put the object through its paces, calling its various public methods with various parameters and making sure that the values returned are appropriate.When we’re dealing with simple data or service objects, writing unit tests is straightforward. However, many objects rely on other objects or layers of infrastructure. When it comes to testing these objects, it is often expensive, impractical, or inefficient to instantiate these collaborators. For example, to unit test an object that uses a database, it may be burdensome to install, configure, and seed a local copy of the database, run your tests, then tear the local database down again.A mock object conforms to the interface of the real object, but has just enough code to fool the tested object and track its behavior. For example, a database connection for a particular unit test might record the query while always returning the same hardwired result. As long as the class being tested behaves as expected, it won’t notice the difference, and the unit test can check that the proper query was emitted.

Here are some of the common coding style for testing with mock objects:

  • Create instances of mock objects
  • Set state and expectations in the mock objects
  • Invoke domain code with mock objects as parameters
  • Verify consistency in the mock objects

Citation
https://www.ibm.com/developerworks/library/j-mocktest/


From the blog Table of Code by Andon S and used with permission of the author. All other rights reserved by the author.

Unit Testing with Mock Objects (Week 6)

This article is posted by IBM and explains how the Mock Object can be used. In this article we will find some of the benefits of using Mock Objects for writing Unit tests for objects that act as mediators. Unit testing has become widely accepted for software development. When you write an object you must also provide an automated test class containing methods that put the object through its paces, calling its various public methods with various parameters and making sure that the values returned are appropriate.When we’re dealing with simple data or service objects, writing unit tests is straightforward. However, many objects rely on other objects or layers of infrastructure. When it comes to testing these objects, it is often expensive, impractical, or inefficient to instantiate these collaborators. For example, to unit test an object that uses a database, it may be burdensome to install, configure, and seed a local copy of the database, run your tests, then tear the local database down again.A mock object conforms to the interface of the real object, but has just enough code to fool the tested object and track its behavior. For example, a database connection for a particular unit test might record the query while always returning the same hardwired result. As long as the class being tested behaves as expected, it won’t notice the difference, and the unit test can check that the proper query was emitted.

Here are some of the common coding style for testing with mock objects:

  • Create instances of mock objects
  • Set state and expectations in the mock objects
  • Invoke domain code with mock objects as parameters
  • Verify consistency in the mock objects

Citation
https://www.ibm.com/developerworks/library/j-mocktest/


From the blog Table of Code by Andon S and used with permission of the author. All other rights reserved by the author.

Unit Testing with Mock Objects (Week 6)

This article is posted by IBM and explains how the Mock Object can be used. In this article we will find some of the benefits of using Mock Objects for writing Unit tests for objects that act as mediators. Unit testing has become widely accepted for software development. When you write an object you must also provide an automated test class containing methods that put the object through its paces, calling its various public methods with various parameters and making sure that the values returned are appropriate.When we’re dealing with simple data or service objects, writing unit tests is straightforward. However, many objects rely on other objects or layers of infrastructure. When it comes to testing these objects, it is often expensive, impractical, or inefficient to instantiate these collaborators. For example, to unit test an object that uses a database, it may be burdensome to install, configure, and seed a local copy of the database, run your tests, then tear the local database down again.A mock object conforms to the interface of the real object, but has just enough code to fool the tested object and track its behavior. For example, a database connection for a particular unit test might record the query while always returning the same hardwired result. As long as the class being tested behaves as expected, it won’t notice the difference, and the unit test can check that the proper query was emitted.

Here are some of the common coding style for testing with mock objects:

  • Create instances of mock objects
  • Set state and expectations in the mock objects
  • Invoke domain code with mock objects as parameters
  • Verify consistency in the mock objects

Citation
https://www.ibm.com/developerworks/library/j-mocktest/


From the blog Table of Code by Andon S and used with permission of the author. All other rights reserved by the author.

Unit Testing with Mock Objects (Week 6)

This article is posted by IBM and explains how the Mock Object can be used. In this article we will find some of the benefits of using Mock Objects for writing Unit tests for objects that act as mediators. Unit testing has become widely accepted for software development. When you write an object you must also provide an automated test class containing methods that put the object through its paces, calling its various public methods with various parameters and making sure that the values returned are appropriate.When we’re dealing with simple data or service objects, writing unit tests is straightforward. However, many objects rely on other objects or layers of infrastructure. When it comes to testing these objects, it is often expensive, impractical, or inefficient to instantiate these collaborators. For example, to unit test an object that uses a database, it may be burdensome to install, configure, and seed a local copy of the database, run your tests, then tear the local database down again.A mock object conforms to the interface of the real object, but has just enough code to fool the tested object and track its behavior. For example, a database connection for a particular unit test might record the query while always returning the same hardwired result. As long as the class being tested behaves as expected, it won’t notice the difference, and the unit test can check that the proper query was emitted.

Here are some of the common coding style for testing with mock objects:

  • Create instances of mock objects
  • Set state and expectations in the mock objects
  • Invoke domain code with mock objects as parameters
  • Verify consistency in the mock objects

Citation
https://www.ibm.com/developerworks/library/j-mocktest/


From the blog Table of Code by Andon S and used with permission of the author. All other rights reserved by the author.

Wireframe Testing

A lot of software testing focuses on testing the code, which is very important, but there is another area of testing to consider, the user experience. When it comes to designing a product it is important to keep in mind who will be using it and what they are expecting. This area of testing ranges depending on the nature of the software. If, for example, you are developing software that is to be server based and will be run from command line it will require less time than a program that is to be used by the average employee.

It is a good idea to start this testing before you have invested too much time in developing the final user interface. A quote by Frank Lloyd Wright that summarizes this is “You can use an eraser on the drafting table or a sledge hammer on the job site.”

One way to accomplish this is to make use of wireframe testing. Wireframe testing is a method of testing that involves generating a mock up so that the end user can get a feel for what the final program will look like and how it will behave. There is also a variation where an expert analyzes the software instead of the end user.

Wireframes can vary in details. The simplest form may be a simple sketch the allows the user to see how items are laid out. More detailed wireframes fall into to categories high fidelity and low fidelity. Low fidelity wireframes are mock ups that provide a fairly similar look to the final product and some functionality where as high fidelity wireframes are very similar to the final product in look and feel.

Original Articles:
http://curioustester.blogspot.com/2015/08/wireframes-testing-part-i.html
http://curioustester.blogspot.com/2015/09/wireframes-testing-part-ii-how-did-i-do.html

From the blog CS@WSU – :(){ :|: & };: by rmurphy12blog and used with permission of the author. All other rights reserved by the author.