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@ -219,16 +219,16 @@ static void f() {
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\begin{example}[Control dependencies generated by unconditional instructions]
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\label{exa:unconditional}
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Figure~\ref{fig:break-graphs} showcases a small program with a \texttt{break} statement, its CFG and PDG with a slice in grey. The slicing criterion (line 5, variable $a$) is control dependent on both the unconditional jump and its surrounding conditional instruction (both on line 4); even though it is not necessary to include it\sergio{a quien se refiere este it?} (in the context of weak slicing).
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Figure~\ref{fig:break-graphs} showcases a small program with a \texttt{break} statement, its CFG and PDG with a slice in grey\josep{No hables aún del slice. Primero presenta el programa, luego los grafos, luego el CS y finalmente el slice}. The slicing criterion (line 5, variable $a$) is control dependent on both the unconditional jump and its surrounding conditional instruction (both on line 4\josep{ponlos en lineas diferentes})\josep{. Therefore, the slice (all nodes in grey) includes the conditional jump and also the conditional exception. Note however that...}; even though it is not necessary to include it\sergio{a quien se refiere este it?} (in the context of weak slicing).
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Note: the ``Start'' node $S$ is also categorized as a pseudo--statement, with the \textit{false} edge connected to the ``End'' node, therefore generating a dependence from $S$ to all the nodes inside the method. This removes the need to handle $S$ with a special case when converting a CFG to a PDG, but lowers the explainability of non--executable edges as leading to the ``instruction that would be executed if the node was absent or a no--op''.
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\end{example}
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The original paper~\cite{BalH93} does prove its completeness, but disproves its correctness by providing a counter--example similar to example~\ref{exa:nested-unconditional}. This proof affects both weak and strong slicing, so improvements can be made on this proposal. The authors postulate that a more correct approach would be achievable if the slice's restriction of being a subset of instructions were lifted.
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The original paper\josep{que original paper? parece que hablas de alguno que hayas hablado antes, pero el lector ya no se acuerda. Empieza de otra manera...}~\cite{BalH93} does prove its completeness, but disproves its correctness by providing a counter--example similar to example~\ref{exa:nested-unconditional}. This proof affects both weak and strong slicing, so improvements can be made on this proposal. The authors postulate that a more correct approach would be achievable if the slice's restriction of being a subset of instructions were lifted.
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\begin{example}[Nested unconditional jumps]
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\label{exa:nested-unconditional}
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In the case of nested unconditional jumps where both jump to the same destination, only one of them (the out--most one) is needed. Figure~\ref{fig:nested-unconditional} showcases the problem, with the minimal slice \carlos{have not defined this yet} in grey, and the algorithmically computed slice in light blue. Specifically, lines 3 and 5 are included unnecessarily.
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\josep{Esta frase es dificil de leer. No se entiende hasta leerla dos o tres veces.}In the case of nested unconditional jumps where both jump to the same destination, only one of them (the out--most one) is needed \josep{El lector no tiene contexto para saber de que hablas. Mejor empieza al reves: Consider the program in Figure~\ref{fig:nested-unconditional} where we can observe two nested unconditional jumps in lines X and Y. If we slice this program using the dependencies computed according to \cite{} then we compute the slice in light blue. Nevertheless, the minimal slice is composed of the nodes in grey [NOTA: yo no veo los colores. Arreglar la frase si no coincide con los colores]. This means that the slice computed includes unnecessary code (lines 3 and 5 are included unnecessarily). This problem is explained in depth and a solution proposed in Section~\ref{}}. Figure~\ref{fig:nested-unconditional} showcases the problem, with the minimal slice \carlos{have not defined this yet} in grey, and the algorithmically computed slice in light blue. Specifically, lines 3 and 5 are included unnecessarily.
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\begin{figure}
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\begin{minipage}{0.15\linewidth}
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@ -251,7 +251,7 @@ D;
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\includegraphics[width=0.4\linewidth]{img/nested-unconditional-cfg}
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\includegraphics[width=0.59\linewidth]{img/nested-unconditional-pdg}
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\end{minipage}
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\caption{A program with nested unconditional control flow (left), its CFG (center) and PDG (right).}
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\caption{A program with nested unconditional control flow (left), its CFG (center) and \josep{its} PDG (right).}
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\label{fig:nested-unconditional}
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\end{figure}
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\end{example}
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