A Discipline of Programming (Prentice-Hall Series in Automatic Computation). Read more Networking – A Professional Discipline. Read more. development of the intellectual discipline of computer programming. C.A.R. HOARE none of the existing programming languages, nor a subset of them, would. terney.info One biting example is terney.info
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programming, a discipline of programming pdf, a discipline of programming dijkstra pdf free download, a discipline of programming ebook. Inthe early s Iknew I hadtoforge programming into an effective mathe- matical discipline and got my first glimpses of how to do that. Author Edsger W. Dijkstra introduces A Discipline of Programming with the statement, "My original idea was to publish a number of beautiful algorithms in such a.
You can not say "formal methods are a way not to think", because the theoretical existence of a sequence of transformations giving you the final program does not tell you how to find those transformations, so some thinking on the part of programmer is still needed.
Of course you can come up with a program by a way of thinking completely uninformed by the formal specification, and then formalize it, but this is not what Dijkstra is speaking of in this article. What I am saying in the comment is that I do not believe many people benefit that much from a formal approach to program development, just like not that many new theorems in mathematics, outside of mathematical logic, were discovered using the tools of mathematical logic.
Even the proofs themselves in mathematics aren't done in a completely formal way. I worked in aviation software, formal methods would have saved us so much trouble, especially since the code size is often relatively small 10kk LOC and because we're dealing with other systems the IO spec was reasonably complete.
Sure there'd be issues, but feature creep was not one of them except on one project. Feature creep makes formalisms difficult, but only when you're looking at whole program formalisms.
So certainly safety critical systems benefit. What else might? How about medical systems see Therac for faulty UI leading to deaths.
Network code, especially fundamentals like routers, switches and core services like DNS that so much depends on. Cryptographic and other security systems. Compilers, obviously, similar to network code they're too ubiquitous to be left to error prone ad hoc approaches.
Anything handling money. If you accept formal methods on the small scale essentially the promise of functional programming a la Haskell and the ML family , you can be confident in composing large systems out of smaller, formally verified systems.
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