eugene@eos.UUCP (Eugene Miya) (10/11/89)
I was asked by quite a few people for a compelte reference:
%A Donald T. Campbell
%A Julian C. Stanley
%T Experimental and Quasi-Experimental Designs for Research
%I Rand-McNally
%C Chicago
%D 1963
I recommend this book for several reasons over larger more elaborate
books on experiment design:
1) It's about the size of Kernighan and Plauger's Elements of Programming
Style (about 1/3 of an inch thick).
2) It's cheap (like K&P), mine was $3.00. Anyone can blow this amount
of money if you don't like it.
3) It's easy to read, fairly simple logic without lots of numbers of
statistics unlike other books. It takes the tack: "Where is my
work invalid?" What can invalidate my work?
4) It uses a simple notation to convey the above.
%) It's been around quite some time.
Another gross generalization from
--eugene miya, NASA Ames Research Center, eugene@aurora.arc.nasa.gov
resident cynic at the Rock of Ages Home for Retired Hackers:
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"If my mail does not reach you, please accept my apology."
{ncar,decwrl,hplabs,uunet}!ames!eugene
Live free or die.hallett@positron.uucp (Jeff Hallett x5163 ) (10/12/89)
In article <5345@eos.UUCP> eugene@eos.UUCP (Eugene Miya) writes: > >I recommend this book for several reasons over larger more elaborate >books on experiment design: I apparently missed the beginning of this thread. Does it concern experiments as they relate to testing? If not, I would be interested to hear about any reference people may have that discuss formulating testing strategies based on program structure. The real concern is to find an "easy" way for people to construct test suites that "cover" their code without exhaustively checking every input value - I refer to something like Taguchi's work on designed experiments. Help is appreciated. -- Jeffrey A. Hallett, PET Software Engineering GE Medical Systems, W641, PO Box 414, Milwaukee, WI 53201 (414) 548-5163 : EMAIL - hallett@gemed.ge.com "Your logic was impeccable Captain. We are in grave danger."