For example, what does it mean in this quote?
Integrating with an external API is almost a guarantee in any modern web app. To effectively test such integration, you need to stub it out. A good stub should be easy to create and consistently up-to-date with actual, current API responses. In this post, we’ll outline a testing strategy using stubs for an external API.
A stub is a controllable replacement for an Existing Dependency (or collaborator) in the system. By using a stub, you can test your code without dealing with the dependency directly.
External Dependency - Existing Dependency:
It is an object in your system that your code
under test interacts with and over which you have no control. (Common
examples are filesystems, threads, memory, time, and so on.)
Forexample in below code:
public void Analyze(string filename)
{
if(filename.Length<8)
{
try
{
errorService.LogError("long file entered named:" + filename);
}
catch (Exception e)
{
mailService.SendEMail("admin@hotmail.com", "ErrorOnWebService", "someerror");
}
}
}
You want to test mailService.SendEMail() method, but to do that you need to simulate an Exception in your test method, so you just need to create a Fake Stub errorService object to simulate the result you want, then your test code will be able to test mailService.SendEMail() method. As you see you need to simulate a result which is from an another Dependency which is ErrorService class object (Existing Dependency object).
A stub, in this context, means a mock implementation.
That is, a simple, fake implementation that conforms to the interface and is to be used for testing.
Layman's terms, it's dummy data (or fake data, test data...etc.) that you can use to test or develop your code against until you (or the other party) is ready to present/receive real data. It's a programmer's "Lorem Ipsum".
Employee database not ready? Make up a simple one with Jane Doe, John Doe...etc. API not ready? Make up a fake one by creating a static .json file containing fake data.
In this context, the word "stub" is used in place of "mock", but for the sake of clarity and precision, the author should have used "mock", because "mock" is a sort of stub, but for testing. To avoid further confusion, we need to define what a stub is.
In the general context, a stub is a piece of program (typically a function or an object) that encapsulates the complexity of invoking another program (usually located on another machine, VM, or process - but not always, it can also be a local object). Because the actual program to invoke is usually not located on the same memory space, invoking it requires many operations such as addressing, performing the actual remote invocation, marshalling/serializing the data/arguments to be passed (and same with the potential result), maybe even dealing with authentication/security, and so on. Note that in some contexts, stubs are also called proxies (such as dynamic proxies in Java).
A mock is a very specific and restrictive kind of stub, because a mock is a replacement of another function or object for testing. In practice we often use mocks as local programs (functions or objects) to replace a remote program in the test environment. In any case, the mock may simulate the actual behaviour of the replaced program in a restricted context.
Most famous kinds of stubs are obviously for distributed programming, when needing to invoke remote procedures (RPC) or remote objects (RMI, CORBA). Most distributed programming frameworks/libraries automate the generation of stubs so that you don't have to write them manually. Stubs can be generated from an interface definition, written with IDL for instance (but you can also use any language to define interfaces).
Typically, in RPC, RMI, CORBA, and so on, one distinguishes client-side stubs, which mostly take care of marshaling/serializing the arguments and performing the remote invocation, and server-side stubs, which mostly take care of unmarshaling/deserializing the arguments and actually execute the remote function/method. Obviously, client stubs are located on the client side, while sever stubs (often called skeletons) are located on the server side.
Writing good efficient and generic stubs becomes quite challenging when dealing with object references. Most distributed object frameworks such as RMI and CORBA deal with distributed objects references, but that's something most programmers avoid in REST environments for instance. Typically, in REST environments, JavaScript programmers make simple stub functions to encapsulate the AJAX invocations (object serialization being supported by JSON.parse and JSON.stringify). The Swagger Codegen project provides an extensive support for automatically generating REST stubs in various languages.
You have also a very good testing frameworks to create such a stub. One of my preferrable is Mockito There is also EasyMock and others... But Mockito is great you should read it - very elegant and powerfull package
Stub is a function definition that has correct function name, the correct number of parameters and produces dummy result of the correct type.
It helps to write the test and serves as a kind of scaffolding to make it possible to run the examples even before the function design is complete
This phrase is almost certainly an analogy with a phase in house construction — "stubbing out" plumbing. During construction, while the walls are still open, the rough plumbing is put in. This is necessary for the construction to continue. Then, when everything around it is ready enough, one comes back and adds faucets and toilets and the actual end-product stuff. (See for example How to Install a Plumbing Stub-Out.)
When you "stub out" a function in programming, you build enough of it to work around (for testing or for writing other code). Then, you come back later and replace it with the full implementation.
