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Disadvantages of Test Driven Development? [closed]

People also ask

Why TDD is not usually used?

This means the following problems in such a TDD approach: More test code than the implementation code. Not easy to design tests before the implementation is done. Implementation refactoring breaks existing tests.

What are the possible problems with test first development?

What are the possible problems of test-first development? Programmers may take short-cuts when developing tests so that the system tests are incomplete. Some tests can be difficult to write incrementally. It is difficult to estimate the completeness of a test set.

Is TDD good approach?

The evolution of Agile development has introduced many pragmatic practices for delivering quality software at high speed. Test-Driven Development (TDD) is one such practice that is now recognized as an efficient approach that drives positive results.

What are the advantages of test driven development?

Fewer bugs and errors are the primary benefit of the TDD approach. When the code has fewer bugs, you'll spend less time fixing them than other programming methodologies. TDD produces a higher overall test coverage and, therefore to a better quality of the final product.


If you want to do "real" TDD (read: test first with the red, green, refactor steps) then you also have to start using mocks/stubs, when you want to test integration points.

When you start using mocks, after a while, you will want to start using Dependency Injection (DI) and a Inversion of Control (IoC) container. To do that you need to use interfaces for everything (which have a lot of pitfalls themselves).

At the end of the day, you have to write a lot more code, than if you just do it the "plain old way". Instead of just a customer class, you also need to write an interface, a mock class, some IoC configuration and a few tests.

And remember that the test code should also be maintained and cared for. Tests should be as readable as everything else and it takes time to write good code.

Many developers don't quite understand how to do all these "the right way". But because everybody tells them that TDD is the only true way to develop software, they just try the best they can.

It is much harder than one might think. Often projects done with TDD end up with a lot of code that nobody really understands. The unit tests often test the wrong thing, the wrong way. And nobody agrees how a good test should look like, not even the so called gurus.

All those tests make it a lot harder to "change" (opposite to refactoring) the behavior of your system and simple changes just becomes too hard and time consuming.

If you read the TDD literature, there are always some very good examples, but often in real life applications, you must have a user interface and a database. This is where TDD gets really hard, and most sources don't offer good answers. And if they do, it always involves more abstractions: mock objects, programming to an interface, MVC/MVP patterns etc., which again require a lot of knowledge, and... you have to write even more code.

So be careful... if you don't have an enthusiastic team and at least one experienced developer who knows how to write good tests and also knows a few things about good architecture, you really have to think twice before going down the TDD road.


Several downsides (and I'm not claiming there are no benefits - especially when writing the foundation of a project - it'd save a lot of time at the end):

  • Big time investment. For the simple case you lose about 20% of the actual implementation, but for complicated cases you lose much more.
  • Additional Complexity. For complex cases your test cases are harder to calculate, I'd suggest in cases like that to try and use automatic reference code that will run in parallel in the debug version / test run, instead of the unit test of simplest cases.
  • Design Impacts. Sometimes the design is not clear at the start and evolves as you go along - this will force you to redo your test which will generate a big time lose. I would suggest postponing unit tests in this case until you have some grasp of the design in mind.
  • Continuous Tweaking. For data structures and black box algorithms unit tests would be perfect, but for algorithms that tend to be changed, tweaked or fine tuned, this can cause a big time investment that one might claim is not justified. So use it when you think it actually fits the system and don't force the design to fit to TDD.

When you get to the point where you have a large number of tests, changing the system might require re-writing some or all of your tests, depending on which ones got invalidated by the changes. This could turn a relatively quick modification into a very time-consuming one.

Also, you might start making design decisions based more on TDD than on actually good design prinicipals. Whereas you may have had a very simple, easy solution that is impossible to test the way TDD demands, you now have a much more complex system that is actually more prone to mistakes.


I think the biggest problem for me is the HUGE loss of time it takes "getting in to it". I am still very much at the beginning of my journey with TDD (See my blog for updates my testing adventures if you are interested) and I have literally spent hours getting started.

It takes a long time to get your brain into "testing mode" and writing "testable code" is a skill in itself.

TBH, I respectfully disagree with Jason Cohen's comments on making private methods public, that's not what it is about. I have made no more public methods in my new way of working than before. It does, however involve architectural changes and allowing for you to "hot plug" modules of code to make everything else easier to test. You should not be making the internals of your code more accessible to do this. Otherwise we are back to square one with everything being public, where is the encapsulation in that?

So, (IMO) in a nutshell:

  • The amount of time taken to think (i.e. actually grok'ing testing).
  • The new knowledge required of knowing how to write testable code.
  • Understanding the architectural changes required to make code testable.
  • Increasing your skill of "TDD-Coder" while trying to improve all the other skills required for our glorious programming craft :)
  • Organising your code base to include test code without screwing your production code.

PS: If you would like links to positives, I have asked and answered several questions on it, check out my profile.


In the few years that I've been practicing Test Driven Development, I'd have to say the biggest downsides are:

Selling it to management

TDD is best done in pairs. For one, it's tough to resist the urge to just write the implementation when you KNOW how to write an if/else statement. But a pair will keep you on task because you keep him on task. Sadly, many companies/managers don't think that this is a good use of resources. Why pay for two people to write one feature, when I have two features that need to be done at the same time?

Selling it to other developers

Some people just don't have the patience for writing unit tests. Some are very proud of their work. Or, some just like seeing convoluted methods/functions bleed off the end of the screen. TDD isn't for everyone, but I really wish it were. It would make maintaining stuff so much easier for those poor souls who inherit code.

Maintaining the test code along with your production code

Ideally, your tests will only break when you make a bad code decision. That is, you thought the system worked one way, and it turns out it didn't. By breaking a test, or a (small) set of tests, this is actually good news. You know exactly how your new code will affect the system. However, if your tests are poorly written, tightly coupled or, worse yet, generated (cough VS Test), then maintaining your tests can become a choir quickly. And, after enough tests start to cause more work that the perceived value they are creating, then the tests will be the first thing to be deleted when schedules become compressed (eg. it gets to crunch time)

Writing tests so that you cover everything (100% code coverage)

Ideally, again, if you adhere to the methodology, your code will be 100% tested by default. Typically, thought, I end up with code coverage upwards of 90%. This usually happens when I have some template style architecture, and the base is tested, and I try to cut corners and not test the template customizations. Also, I have found that when I encounter a new barrier I hadn't previously encountered, I have a learning curve in testing it. I will admit to writing some lines of code the old skool way, but I really like to have that 100%. (I guess I was an over achiever in school, er skool).

However, with that I'd say that the benefits of TDD far outweigh the negatives for the simple idea that if you can achieve a good set of tests that cover your application but aren't so fragile that one change breaks them all, you will be able to keep adding new features on day 300 of your project as you did on day 1. This doesn't happen with all those who try TDD thinking it's a magic bullet to all their bug-ridden code, and so they think it can't work, period.

Personally I have found that with TDD, I write simpler code, I spend less time debating if a particular code solution will work or not, and that I have no fear to change any line of code that doesn't meet the criteria set forth by the team.

TDD is a tough discipline to master, and I've been at it for a few years, and I still learn new testing techniques all the time. It is a huge time investment up front, but, over the long term, your sustainability will be much greater than if you had no automated unit tests. Now, if only my bosses could figure this out.


On your first TDD project there are two big losses, time and personal freedom

You lose time because:

  • Creating a comprehensive, refactored, maintainable suite of unit and acceptance tests adds major time to the first iteration of the project. This may be time saved in the long run but equally it can be time you don't have to spare.
  • You need to choose and become expert in a core set of tools. A unit testing tool needs to be supplemented by some kind of mocking framework and both need to become part of your automated build system. You also want to pick and generate appropriate metrics.

You lose personal freedom because:

  • TDD is a very disciplined way of writing code that tends to rub raw against those at the top and bottom of the skills scale. Always writing production code in a certain way and subjecting your work to continual peer review may freak out your worst and best developers and even lead to loss of headcount.
  • Most Agile methods that embed TDD require that you talk to the client continually about what you propose to accomplish (in this story/day/whatever) and what the trade offs are. Once again this isn't everyone's cup of tea, both on the developers side of the fence and the clients.

Hope this helps