From mboxrd@z Thu Jan 1 00:00:00 1970 X-Spam-Checker-Version: SpamAssassin 3.4.4 (2020-01-24) on polar.synack.me X-Spam-Level: X-Spam-Status: No, score=-0.8 required=5.0 tests=BAYES_00,INVALID_DATE autolearn=no autolearn_force=no version=3.4.4 X-Google-Language: ENGLISH,ASCII-7-bit X-Google-Thread: 103376,ed0e0a641b1a05b X-Google-Attributes: gid103376,public X-Google-ArrivalTime: 1993-03-23 23:04:50 PST Path: sparky!uunet!munnari.oz.au!goanna!ok From: ok@goanna.cs.rmit.oz.au (Richard A. O'Keefe) Newsgroups: comp.lang.ada Subject: Re: ada software reuse Message-ID: <17252@goanna.cs.rmit.oz.au> Date: 24 Mar 93 06:51:04 GMT References: <1993Mar18.154215.27544@unix.brighton.ac.uk> Organization: Comp Sci, RMIT, Melbourne, Australia Date: 1993-03-24T06:51:04+00:00 List-Id: In article , srctran@world.std.com (Gregory Aharonian) writes: > I argue that as long as a language has the basic features of a decent > syntax, modularity, and tools/syntax for argument checking, requirements > that most languages meet, then the language will support reuse. And given > the success of "primitive" languages in supporting reuse, the structure of > a language itself is a marginal factor in promoting/discouraging reuse. Basically, there are two key steps in software reuse. 1. FINDING some software to reuse. 2. ADAPTING it to your environment. Of existing well-known languages, Ada and Standard ML are streets ahead of the competition when it comes to step 2. This leaves step 1. One of the few languages to address this issue is Common Lisp. (See section 25.2 of Common Lisp, the Language, 2nd ed.) By all accounts this is the hardest step, and it isn't clear that any programming language has a special advantage here.