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We introduce the notion of performance unit testing which allows developers to explore performance characteristics and detect potential performance problems continuously throughout the development of a software system. Our ideas are embodied in PerfMock, which extends a well-established object mocking framework so that each mock object can be configured with a performance model for predicting the time taken to process each message it receives. PerfMock executes tests in virtual time. This allows performance to be evaluated much more quickly than running a full system performance test, making it possible to test performance continuously, as part of a unit test suite. We demonstrate the core features of PerfMock and show how it can be used to support a process of iterative refinement, whereby models can be improved when more about the actual performance of the objects being mocked becomes known, e.g. by building models from production data. We show that even very simple performance models used early on in the development process can provide useful information for estimating both absolute execution times and the effects of changes in functionality and/or design. The iterative approach we support has the pleasing property that as the system evolves, more decisions are made and more data is collected meaning that we can refine our models, and predicted and actual performance gradually converge. |
