All-Pairs Testing
At my previous job, I led a test team for a credit card payments application. Our customers were companies who issued payment cards to their employees for work-related expenses. The application was complex in the sense that there were many inputs and configuration settings. We hosted the application, so we knew that each company was configured differently, and that many user accounts were configured differently.
The team team had a copy of the production database (suitably scrubbed to minimize security/privacy issues), and so they had the opportunity to test using "real" data. When I started the job, one of the challenges the test team faced was deciding which configurations to test. There were too many combinations to test exhaustively. The team had tried differently strategies to pick combinations. Sometimes we tested with with companies who had reported a lot of problems. Other times we tested with our most important companies, i.e. those that generated the most revenue for us (we were paid a small percentage of however much money was spent on those company credit cards). Still other times we picked combinations at random.
After some research, I decided to try all-pairs testing. I'll give a brief description of the idea; see this page for some references to more detailed articles, and in particular this article for a good introduction. Think of all the data needed to represent a test case that leads to a bug -- the input values, configuration values, states, and so on -- as a tuple. Most bugs arise from the interaction of a subset of the tuple; in other words, parts of the tuple matter, and parts are don't-care values. In fact, the premise of all-pairs testing is that most bugs arise from either a a specific value of one component of the tuple, or specific values of a pair of components. If your tuples are long, you can test multiple pairs simultaneously with the same tuple. If that premise is true, then, it is worth asking how many tuples you need to test all possible pairs of values. There are more refinements to the idea, e.g. partitioning the tuple components into orthogonal parts, but what I said above is the gist of it.
There are open-source programs available for generating all-pairs tuples from a specification of an program's inputs/configuration settings. I don't remember which one I used, but if you Google around, you can find some.
I thought All-pairs was really useful. I found some bugs and my tests didn't take forever to run. Perhaps the most compelling thing about All-pairs is that it helped me convert an unmanageable problem (testing a huge number of combinations) into a manageable one (testing all pairs of values). All-pairs testing didn't eliminate every bug -- customers still found bugs now and then -- but at least we found a systematic way to attack the combination problem. Sometimes that's good enough.
Application To Events
Lately, I've been thinking about how to apply combinatorial testing to events rather than to inputs. Here's the idea. I want to test a new workflow. The developer designed the workflow with a particular set of event sequences in mind. I want to think about sequences that developer may not have considered. I wonder if there's a simplifying strategy like All-pairs for generating event sequences for testing workflows. Any suggestions?
Thursday, April 1, 2010
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