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While it is widely agreed that architectural simplicity is a key factor to the success of large software systems, it is not obvious how to measure architectural complexity. Our approach to measuring complexity is based on observation that large systems with a regular substructure are simple to create and maintain, whereas even relatively small systems(More)
The larger and more complex a program becomes, the greater the need to understand its dynamic behaviour, both to locate problems and to optimize performance. One of the most important tools for locating dynamic problems and performance bottlenecks is a pro ler. A pro ler monitors a program's dynamic behaviour and reveals information about the program's(More)
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