Download Advances in Computers, Vol. 15 by Morris Rubinoff, Marshall C. Yovits PDF

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By Morris Rubinoff, Marshall C. Yovits

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Extra resources for Advances in Computers, Vol. 15

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FIG,19. Reducing the problem I { A J Gto two simpler problems. ALAN W. BIERMANN 38 General rules R1. Rules of consequence: p>Q, &(AIR PWIQ, Q 3 R P(A)R P(A)R ’ R2. Rule of composition: P(AIQ, Q W I R P (A;B}R R3. Rule of invariance: P(A)Q, A does not affect R R4. 5. Conditional rule: PAQ(AIR, PA-Q(BIR P(if Q then A else B J R PAR1AIQAR Frame rules F1. F2. 20. Programming knowledge for program synthesis. We will again return to our canonical example to illustrate this method. In this case, the input specihation will be I: A ( i ) is an integer for i= 1, 2, 3, .

As mentioned above, the predicate P being resolved out must be identically instantiated in each clause. Thus before resolving P(x, y) V Q(y) and 1P(z, b) V R ( z ) , a substitution must be made ( z for x and b for y) before the result is formed (see Fig. 13). With this amount of mechanism it is possible to explain the method of Lee et al. (1974) for automatically synthesizing branching code. Suppose it is desired to build a piece of code that checks the contents of x and then prints POS, NEG, or ZERO depending on whether x is positive, negative, or zero.

A moderately elaborate synthesis system with such capabilities has been implemented and tested as described in Biermann (1975). Bauer (1975) has discussed a modification of the autoprogrammer approach where the example calculations are input with a subset of Engliih. A translator converts the natural language specificationto traces similar to the ones described above and then the synthesis proceeds. + 24 ALAN W. 4 Features of an Autoprogrammer Working examples by hand on an autoprogramming system can be tiresome because of the repetitive nature of some calculations, so it is desirable to have features that will lessen the work.

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