How to approach unit testing in a large project - c#

We have a project that is starting to get large, and we need to start applying Unit Tests as we start to refactor. What is the best way to apply unit tests to a project that already exists? I'm (somewhat) used to doing it from the ground up, where I write the tests in conjunction with the first lines of code onward. I'm not sure how to start when the functionality is already in place. Should I just start writing test for each method from the repository up? Or should I start from the Controllers down?
update:
to clarify on the size of the project.. I'm not really sure how to describe this other than to say there's 8 Controllers and about 167 files that have a .cs extension, all done over about 7 developer months..

As you seem to be aware, retrofitting testing into an existing project is not easy. Your method of writing tests as you go is the better way. Your problem is one of both process and technology- tests must be required by everyone or no one will use them.
The recommendation I've heard and agree with is that you should not attempt to wrap tests around an existing codebase all at once. You'll never finish. Start by working testing into your bugfix process- every fixed bug gets a test. This will start to work testing into your existing code over time. New code must always have tests, of course. Eventually, you'll get the coverage up to a reasonable percentage, but it will take time.
One good book I've had recommended to me is Working Effectively With Legacy Code by Michael C. Feathers. The title doesn't really demonstrate it, but working testing into an existing codebase is a major subject of the book.

There are lots of approaches to fitting tests around an existing codebase. Unit tests are not necessarily the most productive way to start. If you have a large amount of code written then you might want to think about functional and integration tests before you work down to the level of unit tests. Those higher level tests will help give you broad assurance that your product continues to work while you make changes to improve the structure and retrofit unit tests.
One of the practices that non-test-first organizations use that I recommend highly in your situation is this: Have someone other than the author of the original code section write the unit tests for that section. This gets you some level of cross-training and sanity checking, and it also helps ensure that you don't preserve assumptions which will do damage to your code overall.
Other than that, I'll second the recommendation for Michael Feathers' book.

For a legacy project with a decently sized code base, unit testing everything may not be a justifiable effort spend due to budgetary constraints etc. Based on my reading on this subject, I would suggest:
Every bug which has been leaked to QA, Release or Production environment is a candidate for writing unit test case(s) along with fixing the bug.
Use source control to find out which sections/files of your code base are changing more frequently than others. Bring those sections/files under unit test coverage.
New story development should have meaningful unit test case written against them.
Keep monitoring the unit test coverage to observe any downward trend in particular area of the code base. This area needs you to zoom-in and review if unit test coverage is loosing its effectiveness or not.
P.S.: I have added Michael Feathers book to my reading list, thanks for suggesting it.

Related

Are there any types of tests I can add to my existing solution?

I have looked into TDD, unfortunately the project has had most of the development completed, and there isn't any point in implementing it now. However, the project has not been deployed, and there will be changes every week to add to the existing code.
Are there any types of tests I can add to the site that I can run daily to ensure my code is always working? In case other people starting development on the site, or any new code is added, or old code is edited?
Of course there are types of tests you can add:
Unit tests - testing classes in isolation (assuming a DI structure to the code)
Integration tests - testing interactions between classes (typically two classes)
UI tests - using automation (selenium for example, to automate the browser) to test the application from UI through to the database
Performance testing
It is best to concentrate on areas of change (bug fixes, feature requests) in order to get the best bang for the buck.
Nitpick: TDD is a design methodology using testing frameworks, not a testing methodology.
If there will be weekly changes, "the project has had most of the development completed" is probably not a true statement. Most of the development, in fact, still lies ahead.
It is still very worth introducing unit tests. I would suggest creating new tests each week that cover the areas of code that undergo maintenance.
Well, you wouldn't be implementing TDD if you are retro fitting tests into a legacy codebase. I would suggest investing time in producing at least unit tests for new code. Hopefully your code will encroach on legacy code which you can then place unit tests around. Baby steps is the key with legacy code. There is no hard and fast way to do this.
Unit tests can always be added, and it's always a good idea to add them. I would suggest NUnit in your case, because it seems to work really well with existing code. It's also really easy to use.

TDD and Unit Testing for Short Projects with Small Teams?

Is TDD good approach for small and short projects done by small teams up to 4 people ? Is that really a profitable effort ?
What about Unit Testing ? TDD implies Unit Testing but no conversely. Wouldn't be Unit Testing sufficient, done from time to time during the project development life cycle, until reasonable code coverage ?
For me, it doesn't boil down to whether the project is small or short. TDD, done correctly, is about being able to quickly run a set of tests that provide full confidence in the code. There also has been a lot written about TDD helping to drive out the appropriate design for projects as well.
So, you could argue that TDD is best on small and short projects because you end up only writing the code that you need to make the tests pass and nothing else. Therefore, keeping the cost down. Then, there is the added benefit of having confidence in the tests and code when you make changes later.
The next small point I would make is that a lot of projects start small and short. These interim solutions have a way of becoming strategic platforms for development (if successful).
Recently I've read nice blog post from Szymon Pobiega, titled If you are not doing TDD…. I really encourage to take a look on this. It's because I'm a bit skeptical about TDD and placing it into great habits of development life cycle, as an ultimate solution for your projects safety, apart from the nature of the project. I like this fragment:
TDD is most useful when you have absolutely no idea about the shape of
the code. In such case you better not hack the code as fast as you
can. Rather then make one small step at a time, each time validating
the outcome. Ideally, do it in a pair. Each step you make allows you
to discover more tests that need to be written. I love the analogy Dan
used in his presentation: it’s just like swimming versus walking in
1.50 meter deep pool. You can walk all the way through ensuring every time one of you feet is on the ground or you can just swim which is
more risky (no contact with ground) but makes you move a lot faster.
TDD is like walking.
He is referencing to Dan North session from NDC 2012.
The answer is YES! And for the following reason.
Picture yourself the following scenario. You and your project team have created a great application and decide to put it in production. After a while a user comes to you saying: Hey guys I found a bug in your application can you fix it please? Of course you say yes fix the bug and the user is happy. Only after a while he comes back saying, great that you fixed the problem but now something that did work doesn't anymore can you repair it?
If you had used TDD and had made unit tests for the application the scenario wouldn't be like this. This is because you have tests made for your entire application. After solving a bug, you simply run the unit tests again to see if your "fix" din't break any other things in your application.
This answer is more aimed at the use of unit tests. The following is abbout TDD itself.
What TDD makes you as an individual do is think about what am I going to code in the following (object, class, function and so on). Also what are the edges of my code what if/else statements do I need what do I need to check for. If you are by yourself or in a project team of 20 people, this doesn't really matter. The thing with TDD is the thinking process of you not the other people in your project.
If you are doing UnitTesting its only a small step to adopt TDD. But you will benefit much more from it.
Just one example: TDD defines that you implement your tests first. This implies that you think about the goal that you want to achieve before you start to implement. This leads to better code.
TDD and Unit Testing are not alternatives to each other. In every project you should test your code, this is where you do Unit Testing and Integration and System Testing.
TDD is however, a development model. Like Waterfall and other development methods, TDD is a method too. In TDD you have some basic requirements and you write unit tests to ensure that the requirements are implemented and working. But when you are writing unit tests you realize that in order to achieve the major requirements, you need to implement more functions and classes. So unit tests in this context makes other requirements clearer.
Suppose that you need to write an application that prints the name of the computer the application is running on. First you write a unit test:
[Test]
public void ProducedMessage_IsCorrect()
{
AreEqual(BusinessLibrary.ProduceMessage(), System.Environment.MachineName);
}
and then you realize you need to implement the ProduceMessage function. You implement it as simple as it gets so that the unit test passes. You write the method like this:
public string ProduceMessage()
{
return "MyComputer";
}
Then you run the test and it passes. After that you submit your code and other members of the team gets the code. When they run the test the test fails because you hardcoded the name of your computer in the code.
So some wise member of your team changes the code to the correct form and you keep going.
It is all about choosing developers who have TDD experience. At least some of them should be experienced TDD developers I think.

Unit testing database application with business logic performed in the UI

I manage a rather large application (50k+ lines of code) by myself, and it manages some rather critical business actions. To describe the program simple, I would say it's a fancy UI with the ability to display and change data from the database, and it's managing around 1,000 rental units, and about 3k tenants and all the finances.
When I make changes, because it's so large of a code base, I sometimes break something somewhere else. I typically test it by going though the stuff I changed at the functional level (i.e. I run the program and work through the UI), but I can't test for every situation. That is why I want to get started with unit testing.
However, this isn't a true, three tier program with a database tier, a business tier, and a UI tier. A lot of the business logic is performed in the UI classes, and many things are done on events. To complicate things, everything is database driven, and I've not seen (so far) good suggestions on how to unit test database interactions.
How would be a good way to get started with unit testing for this application. Keep in mind. I've never done unit testing or TDD before. Should I rewrite it to remove the business logic from the UI classes (a lot of work)? Or is there a better way?
I would start by using some tool that would test the application through the UI. There are a number of tools that can be used to create test scripts that simulate the user clicking through the application.
I would also suggest that you start adding unit tests as you add pieces of new functionality. It is time consuming to create complete coverage once the appliction is developed, but if you do it incrementally then you distribute the effort.
We test database interactions by having a separate database that is used just for unit tests. In that way we have a static and controllable dataset so that requests and responses can be guaranteed. We then create c# code to simulate various scenarios. We use nUnit for this.
I'd highly recommend reading the article Working Effectively With Legacy Code. It describes a workable strategy for what you're trying to accomplish.
One option is this -- every time a bug comes up, write a test to help you find the bug and solve the problem. Make it such that the test will pass when the bug is fixed. Then, once the bug is resolved you have a tool that'll help you detect future changes that might impact the chunk of code you just fixed. Over time your test coverage will improve, and you can run your ever-growing test suite any time you make a potentially far-reaching change.
TDD implies that you build (and run) unit tests as you go along. For what you are trying to do - add unit tests after the fact - you may consider using something like Typemock (a commercial product).
Also, you may have built a system that does not lend itself to be unit tested, and in this case some (or a lot) of refactoring may be in order.
First, I would recommend reading a good book about unit testing, like The Art Of Unit Testing. In your case, it's a little late to perform Test Driven Development on your existing code, but if you want to write your unit tests around it, then here's what I would recommend:
Isolate the code you want to test into code libraries (if they're not already in libraries).
Write out the most common Use Case scenarios and translate them to an application that uses your code libraries.
Make sure your test program works as you expect it to.
Convert your test program into unit tests using a testing framework.
Get the green light. If not, then your unit tests are faulty (assuming your code libraries work) and you should do some debugging.
Increase the code and scenario coverage of your unit tests: What if you entered unexpected results?
Get the green light again. If the unit test fails, then it's likely that your code library does not support the extended scenario coverage, so it's refactoring time!
And for new code, I would suggest you try it using Test Driven Development.
Good luck (you'll need it!)
I'd recommend picking up the book Working Effectively with Legacy Code by Michael Feathers. This will show you many techniques for gradually increasing the test coverage in your codebase (and improving the design along the way).
Refactoring IS the better way. Even though the process is daunting you should definitely separate the presentation and business logic. You will not be able to write good unit tests against your biz logic until you make that separation. It's as simple as that.
In the refactoring process you will likely find bugs that you didn't even know existed and, by the end, be a much better programmer!
Also, once you refactor your code you'll notice that testing your db interactions will become much easier. You will be able write tests that perform actions like: "add new tenant" which will involve creating a mock tenant object and saving "him" to the db. For you next test you would write "GetTenant" and try and get that tenant that you just created from the db and into your in-memory representation... Then compare your first and second tenant to make sure all fields match values. Etc. etc.
I think it is always a good idea to separate your business logic from UI. There several benefits to this including easier unit testing and expandability. You might also want to refer to pattern based programming. Here is a link http://en.wikipedia.org/wiki/Design_pattern_(computer_science) that will help you understand design patterns.
One thing you could do for now, is within your UI classes isolate all the business logic and different business bases functions and than within each UI constructor or page_load have unit test calls that test each of the business functions. For improved readability you could apply #region tag around the business functions.
For your long term benefit, you should study design patterns. Pick a pattern that suits your project needs and redo your project using the design pattern.
It depends on the language you are using. But in general start with a simple testing class that uses some made up data(but still something 'real') to test your code with. Make it simulate what would happen in the app. If you are making a change in a particular part of the app write something that works before you change the code. Now since you have already written the code getting testing up is going to be quite a challenge when trying to test the entire app. I would suggest start small. But now as you write code, write unit testing first then write your code. You might also considering refactoring but I would weigh the costs of refactoring vs rewriting a little as you go unit testing along the way.
I haven't tried adding test for legacy applications since it is really a difficult chore. If you are planning to move some of the business logic out of the UI and in a separate layer, You may add your initial Test units here(refactoring and TDD). Doing so will give you an introduction for creating unit test for your system. It is really a lot of work but I guess it is the best place to start. Since it is a database driven application, I suggest that you use some mocking tools and DBunit tools while creating your test to simulate the database related issues.
There's no better way to get started unit testing than to try it - it doesn't take long, it's fun and addictive. But only if you're working on testable code.
However, if you try to learn unit testing by fixing an application like the one you've described all at once, you'll probably get frustrated and discouraged - and there's a good chance you'll just think unit testing is a waste of time.
I recommend downloading a unit testing framework, such as NUnit or XUnit.Net.
Most of these frameworks have online documentation that provides a brief introduction, like the NUnit Quick Start. Read that, then choose a simple, self-contained class that:
Has few or no dependencies on other classes - at least not on complex classes.
Has some behavior: a simple container with a bunch of properties won't really show you much about unit testing.
Try writing some tests to get good coverage on that class, then compile and run the tests.
Once you get the hang of that, start looking for opportunities to refactor your existing code, especially when adding new features or fixing bugs. When those refactorings lead to classes that meet the criteria above, write some tests for them. Once you get used to it, you can start by writing tests.

Generating tests from run-time analysis

We have a large body of legacy code, several portions of which are scheduled for refactoring or replacement. We wish to optimise parts that currently impact on the user-experience, facilitate reuse in a new product being planned, and hopefully improve maintainability too.
We have quite good/comprehensive functional tests for an existing product. These are a mixture of automated and manually-driven GUI tests, but they can take a developer more than half a day to run fully. The "low-level domain logic" has a good suite of unit tests (NUnit) with good coverage. Unfortunately, the remainder of the code has no unit tests (or, at least, no worthy unit tests).
What I'd like to find is a tool that automatically generates unit tests for specific methods/classes and maybe specific interfaces based on their use and behaviour in the functional tests. These unit tests would be invaluable for refactoring, and would also be run as part of our C.I. system to detect regressions much earlier than is currently happening (and to localise regressions much better than "button X doesn't work.").
Do any such tools exist? Do you have any recommendations for me?
I've come across Parasoft .TEST, which looks like it might do want I want. Do you have any comments on that, with respect to my situation?
I don't think something that just generates test code from a static analysis, ala NStub, is useful here. I suppose it is actually the generation of representative test data that is really important.
Please ignore the merits, or lack of, of automated test generation - it is not something I'd usually advocate. (Not least because you get tests that pass for broken code!)
Try Pex:
Right from the Visual Studio code editor, Pex finds interesting input-output values of your methods, which you can save as a small test suite with high code coverage. Pex performs a systematic analysis, hunting for boundary conditions, exceptions and assertion failures, which you can debug right away. Pex enables Parameterized Unit Testing, an extension of Unit Testing that reduces test maintenance costs.
Well, you could look at PEX - but I believe that invents its own data (it doesn't watch your existing tests, AFAIK).

TDD, What are your techniques for finding good tests?

I am writing a simple web app using Linq to Sql as my datalayer as I like Linq2Sql very much. I have been reading a bit about DDD and TDD lately and wanted to give it a shot.
First and foremost it strikes me that Linq2Sql and DDD don't go along too great. My other problem is finding tests, I actually find it very hard to define good tests so I wanted to ask, What is your best techniques for discovering good test cases.
Test Case discovery is more of an art than a science. However simple guidelines include:
Code that you know to be frail / weak / likely to break
Follow the user scenario (what your user will be doing) and see how it will touch your code (often this means Debugging it, other times profiling, and other times it simply means thinking about the scenario) - whatever points in your code get touched by the user, those are the highest priority to write tests against.
During your own development the tests you ran that resulted in bugs you found - write tests to avoid the code regressing again with the same behavior.
There are several books on how to write test cases out there, but unless you are working in a large organization that requires documented test cases, your best bet is to think of all the parts in your code that you don't like (that aren't "pure") and make sure you can test those modules thoroughly.
Well, going by the standard interpretation of TDD is that the tests drive your development. So, in essence you start with the test. It will fail, and you will write code until that test passes. So it's kind of driven by your requirements, however you go about gathering those. You decide what your app/feature needs to do, write the test, then code until it passes. Of course, there are many other techniques but this is just a brief statement about what is typically thought in the TDD world.
Think. Read the code. Question yourself: e.g. can this pointer never be NULL here ? What happens if this method is called before the initialization ?
Don't make assumptions such as "this file will always be there". Test.
Think about edge cases, boundaries, negative values, overflows ...
Bug are often grouped by cluster. Look around when you find one. Also look for the same kind of bug in other locations.
Set your mind to the actual goal of testing: Finding bugs.
Be creative at imagining what could make your program fail.
Your tests must find bugs, not confirm that your program is OK.
I regularly write tests for third-party APIs. That way, when the API updates, I know whether I'm going to break or not.
I think this is a useful technique:
Using contracts and boolean queries to improve quality of automatic test generation
Reference: Lisa (Ling) Liu, Bertrand Meyer and
Bernd Schoeller, Using contracts and boolean queries to improve the
quality of automatic test generation, in proceedings of TAP: Tests
And Proofs, ETH Zurich, 5-6 February 2007, eds. Yuri Gurevich and
Bertrand Meyer, Lecture Notes in Computer Science, Springer-
Verlag, 2007.

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