Implementation and Application of Functional Languages: 19th by Steffen Mazanek, Mark Minas (auth.), Olaf Chitil, Zoltán

By Steffen Mazanek, Mark Minas (auth.), Olaf Chitil, Zoltán Horváth, Viktória Zsók (eds.)

This booklet constitutes the completely refereed post-proceedings of the nineteenth overseas Workshop on Implementation and functions of practical Languages, IFL 2007, held in Freiburg, Germany in September 2007.

The 15 revised complete papers awarded went via rounds of reviewing and development and have been chosen from 33 submissions. The papers tackle all present theoretical and methodological matters on useful and function-based languages reminiscent of variety checking, agreement checking, compilation, parallelism, improvement and debugging, facts buildings, parsing in addition to a variety of functionality comparable concepts.

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Extra resources for Implementation and Application of Functional Languages: 19th International Workshop, IFL 2007, Freiburg, Germany, September 27-29, 2007. Revised Selected Papers

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3. e. in the parse tree of the program r is an ancestor of these functions) such that r dominates all paths from functions in Di to functions in Dj , i = j. In such a scenario, r may declare variables that are free1 for functions in Di that are not needed as extraneous parameters by functions in Dj and viceversa. This may occur, for example, when r is contained in two independent loops (modulo r). The second reason is that a variable, x, declared by r that is free in Di may not be needed as an extraneous parameter by all the functions in Di .

Once Rf is known it is used to compute the minimal set of free variables for functions declared further down the program’s parse tree. To illustrate how the J-algorithm works using equation (1) consider the pseudocode in Figure 1. At the topmost level of the parse tree the free variables of f are computed by solving the following equation: Rf = F Vf ∪ ((∪g FFf Rg ) SVf ) . Since F Vf = SVf = ∅, we may conclude that Rf = ∅. At the next level of the parse tree, the free variables equations to solve are: Rg = F Vg ∪ ((∪j FFg Rj ) ∩ SVg ) = {x} ∪ {Ri ∩ {x, y}} = {x} ∪ {{F Vi ∪ ((∪j FFi Rj ) ∩ SVi )} ∩ {x, y}} = {x} ∪ {{∅ ∪ {Rf ∩ {x, y}}} ∩ {x, y}} = {x} ∪ {∅ ∪ {∅ ∩ {x, y}} ∩ {x, y}} = {x} Rh = F Vh ∪ ((∪j FFh Rj ) ∩ SVH ) = {y} ∪ {Rf ∩ {x, y}} = {y} ∪ {∅ ∩ {x, y}} = {y} ∪ ∅ = {y} Ri = F Vi ∪ ((∪j FFi Rj ) ∩ SVi ) = ∅ ∪ {F Vf ∩ {x, y}} = ∅ ∪ {∅ ∩ {x, y} =∅∪∅ =∅ Notice that x is not identified as an extraneous parameter needed by h and that y is not identified as an extraneous parameter needed by g nor i.

4354, pp. 1–32. Springer, Heidelberg (2006) 9. : Refactoring Haskell Programs. PhD thesis, Computing Laboratory, University of Kent, Canterbury, Kent, UK (September 2006) 10. : Tool Support for Refactoring Functional Programs. In: Jeuring, J. ) ACM SIGPLAN Haskell Workshop, Uppsala, Sweden (August 2003) 11. : A Comparative Study of Refactoring Haskell and Erlang Programs. , Moonen, L. ) Sixth IEEE International Workshop on Source Code Analysis and Manipulation (SCAM 2006), September 2006, pp. 197–206.

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