@gongji: How to guess the combinations of features to test when you don't how a customer would use it is a good questions. In a printer, for example, we could print a page on letter paper at 600 DPI single-sided. And we could print on ledger paper at 300 DPI double-sided. And many other combinations of settings for the print job. I wrote a random tester which randomly set about 20 parameters and then tried to print page. We did find one obscure defect with that method. But was it enough? I came across this article, "Combinatorial Software Testing" in IEEE's Computer August 2009 magazine that addressed that very topic. I downloaded their ACTS software (http://csrc.nist.gov/groups/SNS/acts/) and played with it, but as is typical, real work interfered with research for a better way.
In an age of globalization and rapid changes through scientific progress, two of our societies' (and economies') main concerns are to satisfy the needs and wishes of the individual and to save precious resources. Cloud computing caters to both of these.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.