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- From: jsm@mse.cmu.edu (James S Murphy)
- Subject: Re: Estimating Large S/W Development Efforts
- Message-ID: <By126w.41B.1@cs.cmu.edu>
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- Organization: CMU/SEI Master of Software Engineering Program
- References: <1992Nov18.173255.3827@den.mmc.com> <1992Nov20.023108.13035@spectrum.xerox.com>
- Distribution: usa
- Date: Fri, 20 Nov 1992 18:32:48 GMT
- Lines: 31
-
- In article <1992Nov20.023108.13035@spectrum.xerox.com>, leisner@wrc.xerox.com ( Marty Leisner) writes:
- |> Rich Carnahan (carnahan@possum.den.mmc.com) wrote:
- |> : Anyone had any *real* success estimating large (>1M LOC) s/W development
- |> : efforts? I'm interested in hearing about any creative (sic) techniques.
- |> :
- |>
- |> If you considering so much code, you should take a good, hard look at what your
- |> doing...gcc is about 150Klines, A Vax BSD Unix kernel is even less...
- |>
- |> --
-
- I'm not sure of your point. If you are saying that anything larger than
- about 150K to 200K LOC is excessive, I must disagree. Products such as
- gcc and a BSD kernel are certainly non-trivial, but they do not represent the
- upper bound of computational complexity, either in theory or in practice.
-
- Products such as compilers, operating systems, development environemnents
- are mearly the tools that will allow us to build larger and more complex
- systems that do actual work for something outside the realm of computing.
- To produce a 200K tool for making 50K applications is a bit narcisistic, eh?
-
- Applications on the order of >1MLOC are quite common, as well as being
- appropriately sized for the tasks at hand.
-
- If I missed the point of Rich's post, then redirect this response to
- /dev/null.
-
- Jim Murphy jsm@mse.cmu.edu
- PP-ASEL-IA Carnegie Mellon University
-
-
-