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Too Darned Big to Test?
gManZboy writes "In part 2 of its special report on Quality Assurance (part 1) Queue magazine is running an article from Keith Stobie, a test architect in Microsoft's XML Web Services group, about the challenges one faces in trying to test against large codebases."
Shouldn't that be too darned bloated to test? It shouldn't be hard to test the individual subcomponents for functionality and at boundary conditions. Of course, you can't fully test something as complex as the system in the article. No reasonable sized program can ever be fully debugged -- the possibilities are too many to explore. However, it is possible to fully verify the smallest components, and build large components from them and fully verify those as well. Obviously, the complexity increases greatly with each new layer, but when one is working with fully verified components, any errors that occur must be in the local logic. Granted, this is much more labour intensive, but as long as each component follows precise specifications, it's more than feasible. I'm amazed that many prominent software projects still use largely monolithic testing...
Be relentless!
The article just says what everyone knew ..
* code coverage != proper testing
* clever inputs are needed to test
* few programmers test concurrency
Ending with - "ECONOMY IN TESTING" (ever heard about "Good Enough Isn't")
Essentially apologetic about the lack of testing. Test driven development is not a philosophy, it's a way of doing. In a perfect company environment, you'll never be blamed for breaking someone's code - but in most places the idea is "he made me look bad". Peer reviews never work out properly. This is why FOSS is turning out more secure and clean code.
Quidquid latine dictum sit, altum videtur
I recently had a problem with ordering from Amazon that illustrates the problem with testing and all the possible permutations of user actions. I was checking out when I noticed that high shipping cost from one vendor, went back to order from a different vendor and hosed the order. Apparently, there was only one of the item in stock and it was now committed to the pending, partially checked-out order. There was no way to clear the partially complete check-out process and no way to checkout with the item in my shopping cart -- it would only complain that I was trying to order TWO of the item and pull the ONE instance of the item from the cart.
Amazon is not the only e-commerce site with this problem (although I expected better from Amazon). Many sites fail to test for user action sequences other than the straight-through order process. I'm not suggesting that developers test for all possible sequences (that's impossible), but they should test for more plausible ones that a simple linear execution of the process.
When I did software testing (a task that I hated), I quickly broke an RDBMS application with just a simple series of adding and removing items from a user-manipulable working set of data objects. Moreover, I even broke the UI layer and dumped myself into a lower level of the RDBMS shell that was supposedly inaccessible to users. The developers grew to hate me so much for finding bugs in their code and the RDBMS vendor's code that I was moved to another job (YAY!).
The point is that it is often too easy to break code because the developers have created overly simple linear use cases that are then used in testing.
Two wrongs don't make a right, but three lefts do.
I do a lot of programming with visual output. It is impossible to have a computer check that the font got outlined correctly in the PDF, say.
When you combine this with user input and then rare-case branching logic, you can end up with a nightmare of unfollowed paths. Unfollowed, to some extent, means untested.
Just one extra branch can be disasterous because of factorials involved depending where it is placed in the branch pipeline. One minute, everything working, next minute some new code and
things that need to be eyeballed.[% slash_sig_val.text %]
My own research group works on methods to reduce this burden in a number of ways. One, my personal work, is on "semi-random" testing (we call it Adaptive Random Testing) which, we claim, detects more errors with fewer tests and reduces the problem that way. Another is "metamorphic testing" which tackles the oracle problem more directly by a slightly more sophisticated form of sanity checking assertions. You test the program with two (or more) related inputs, and check whether the outputs have the relationship you'd expect based on the inputs.
Unfortunately, the boss has an, um, slightly behind-the-times attitude to putting papers on the web; but if you search the DBLP bibliography server for T.Y. Chen you can get references for most of them.
However, I'd be the last to claim that we have a complete solution to the oracle problem; there will of course never be one. But it is a problem that will continue to make automated testing a challenge.
Any sufficiently advanced technology is indistinguishable from a rigged demo
--Andy Finkel (J. Klass?)
http://folklore.org/StoryView.py?project=Macintosh &story=Monkey_Lives.txt&sortOrder=Sort%20by%20Date &detail=medium&search=monkey
Back in the old days, a common way to write a program was to make code that can be used in many different places from within the program. Routines that are similar would be considered a bad thing, so you make routines that are designed to handle the differet situations that need similar code.
The problem with Microsoft is that they have forgotten or never learned how to design a program before their people have started to write anything. As a result, we see 384k patches from Microsoft that take several minutes to install on some systems.
Another problem is that there is a LOT of duplicate code that is in use even within common libraries.
The people who suggest that there are too many features are almost correct, but the problem isn't with the number of features, it's the way those features are added to programs.
Also, there is only so far you can take a given design while you add features before things start to break due to design. If you start with a good DESIGN, then implement that design in code, it becomes a LOT easier to debug.
Microsoft needs to come up with a NEW OS that isn't an extension of Windows NT or Windows 3.0(95/98/ME are still based on that old code in many ways). Windows NT was the right idea back when it was first developed. Toss the old design, start from scratch, and you end up with a better product. The only problem that Windows NT really had was that compatability wasn't written into the core design of the OS, it was a layer added on top, which means you need a "translator" to handle that. If it's in the design, then you figure out how to do the emulation of the old system in a way that is compatable with the "new" way of doing things. Today, it's not as difficult as it used to be back in those early days of Windows NT. We have enough processing power to make virtual machines that can handle just about anything if they are coded properly. The only problem is that the emulation of the old DOS environment or Windows environment hasn't been implemented by Microsoft.
But I've gone off topic a bit. The key to easily debugged code is to design in a way to make things properly modular. Almost all features within Windows should be TIGHT code. To open a file probably has 200 different versions of that code within the Windows XP code base scattered through all the programs that come with Windows XP or 2003. Think about that, and wonder why it's hard to debug.