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Download PDF by Luis Soares Barbosa (auth.), Francisco Heron de Carvalho: Programming Languages: 16th Brazilian Symposium, SBLP 2012,

By Luis Soares Barbosa (auth.), Francisco Heron de Carvalho Junior, Luis Soares Barbosa (eds.)

ISBN-10: 3642331815

ISBN-13: 9783642331817

ISBN-10: 3642331823

ISBN-13: 9783642331824

This e-book constitutes the complaints of the sixteenth Brazililan Symposium on Programming Languages, SBLP 2012, held in Natal, Brazil, in September 2012.
The 10 complete and a couple of brief papers have been conscientiously reviewed and chosen from 27 submissions. The papers conceal a variety of elements of programming languages and software program engineering.

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Read Online or Download Programming Languages: 16th Brazilian Symposium, SBLP 2012, Natal, Brazil, September 23-28, 2012. Proceedings PDF

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Extra resources for Programming Languages: 16th Brazilian Symposium, SBLP 2012, Natal, Brazil, September 23-28, 2012. Proceedings

Sample text

However, because of control dependence edges, this case cannot happen. The control dependence edges ensure that any topological ordering of the constraint graph either places Nv before Nv , or places these nodes in the same strongly connected component. For instance, in Figure 2(d), variables j1 and it are in the same SCC only because of the control dependence edges. Narrowing Analysis. The growth analysis associates very conservative bounds to each variable. Thus, the last step of our algorithm consists in narrowing these intervals.

The Micro Algorithm. We find the solution given in Figure 2(e) in a process that we call the micro algorithm. This process is divided into three sub-steps: (i) growth analysis; (ii) future resolution and (iii) narrowing analysis. Speed and Precision in Range Analysis (a) k = 0 while k i = 0 j = k while i = j = k = k (b) k0 = 0 < 100: i i j + < j: + 1 - 1 1 j0 = k t i1 = (i0, i2) +1 kt 0 i0 k1 [-,99] j0 = i2   j2 [-, ft(j1)-1] [ft(i1), +] jt jt = j1  [ft(i1), +] it = i1  [, ft(j1)] k2 j1 i2 = i t + 1 k2 = k t + 1  i1 j1 = (j0, j2) k2 = k t + 1 k0 it kt = k1  [, 99] i0 = 0 j2 = j t - 1 i1[-,ft(j1)-1] j1[ft(i1),+] it + 1 jt - 1 = = = = k0 = 0 k1 = (k0, k2) i1 = (i0, i2) j1 = (j0, j2) (i1 < j1)?

C Springer-Verlag Berlin Heidelberg 2012 28 S. Medeiros, F. Mascarenhas, and R. Ierusalimschy simply rejected by PEG implementations instead of leading to parsers that do not terminate, but the lack of support for left recursion is a restriction on the expressiveness of PEGs. The use of left recursion is a common idiom for expressing language constructs in a grammar, and is present in published grammars for programming languages; the use of left recursion can make rewriting an existing grammar as a PEG a difficult task [17].

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Programming Languages: 16th Brazilian Symposium, SBLP 2012, Natal, Brazil, September 23-28, 2012. Proceedings by Luis Soares Barbosa (auth.), Francisco Heron de Carvalho Junior, Luis Soares Barbosa (eds.)

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