\josep{Antes de nada, felicidades Carlos. En esta sección se ha notado una mejora importante. Sobretodo al introudcir los problemas, los ejemplos, etc. Sigue así!}
\josep{This chapter features different problems and weaknesses of the current treatment that program slicing techniques use in presence of exceptions. Each problem is described with a counterexample that illustrates the loss of completeness or precision. Finally, for each problem a solution is proposed.}
\josep{With regards to the problems, }Even though the current state of the art considers exception handling, their treatment is not perfect. The mistakes made by program slicers can be classified in two: \josep{(1)} those that lower the completeness and \josep{(2)} those that lower the correctness. \josep{Remarco el 1 y el 2 porque los referencias mas adelante, lejos, y así se sabe que las referencias vienen aqui.}
The first kind is the most important one, as the resulting slices may be incorrect \josep{(i.e., the behaviour of the slice is different from the behaviour of the original program)\deleted{---as in produce different values than the original program---}} making them invalid for some uses of program slicing. \josep{A good example of the effects that these wrong slices may produce happens when they are used for program debugging, but the the error that we want to debug does not appear anymore, or even the slicing criterion cannot be reached due to an uncaught exception. \deleted{As an example, imagine a slice used for program debugging which does not reach the slicing criterion due to an uncaught exception.}}
The second kind is less \josep{critic\deleted{important}}, but still \josep{important because a wrong treatment of exceptions can cause the inclusion of wrong dependencies in the slice, thus producing unnecessary long slices that may turn to be useless for some applications\deleted{useful to address, as the smaller a slice is, the easier it is to use it}}.
\deleted{The rest of this chapter features different errors found in the state of the art, each with a detailed description, example, and proposals that solve them.}
The standard treatment of unconditional jumps as pseudo-statements introduces two separate correctness errors: \josep{\emph{the subsumption correctness error}, which is relevant in the context of both strong and weak slicing, and the \emph{structure-exiting jump}}, \josep{which\deleted{that}} is only relevant in the context of weak slicing.
This problem has been known since\sergio{Los propios autores lo comentaban? Si es asi no digo nada xD} the seminal publication on slicing unconditional jumps~\cite{BalH93}: chapter 4 details an example where the slice is bigger than it needs to be, and leave the solution of that problem as an open question to be solved in future publications. A similar \sergio{similar a quien? Es similar o el mismo con breaks? yo tal vez diria analogous.}example ---with \texttt{break} statements instead of \texttt{goto}--- is shown in example~\ref{exa:problem-break-sub}.
Consider the code shown in the left side of figure~\ref{fig:problem-break-sub}. It is a simple Java method containing a \texttt{while} statement, from which the execution may exit naturally or through any of the \texttt{break} statements (lines 6 and 9). For the rest of statements and expressions\sergio{impacta que ahora digamos statements or expressions cuando llevamos todo el rato diciendo instructions. Casi diria que es la primera vez que nos referimos a expressions. Yo dejaria statements o instructions}, uppercase letters are used; and no data dependencies are considered, as they are not relevant to the problem at hand.
\caption{A program (left), its computed slice (centre) and the \sergio{\{}smallest complete\sergio{\} minimal} slice (right).\sergio{echar un pelin a la derecha, los numeros quedan fuera del margen}}
Now consider statement \texttt{C} (line 11) as the slicing criterion. Figure~\ref{fig:problem-break-sub-sdg} displays the SDG produced for the program, and the nodes selected by the slice. Figure~\ref{fig:problem-break-sub} displays the computed slice on the centre, and the \josep{minimal slice\deleted{smallest slice possible}} on the left\josep{en realidad hay otro minimal slice si dejamos el otro break y quitamos el que hemos dejado}\sergio{Si decimos minimal slice tenemos que haber dicho que es en algun sitio, al menos definirlo. Lo hemos dicho?}. The inner \texttt{break} on line \josep{6\deleted{9}} and the \texttt{if} surrounding it (line \josep{4\deleted{7}}) have been unnecessarily included. Their inclusion would not be specially problematic, if it were not for the condition of the \texttt{if} statement \josep{(line 4)}, which may include extra data dependencies \josep{that are unnecessary in the slice and that may led to include other unnecessary statements, making the slice even more imprecise\deleted{, whose only task is to control line 3}}.
Line 6 is not useful, because whether or not it executes, the execution will continue on line 13 (after the \texttt{while}), as guaranteed by line 9, which is not guarded by any condition. Note that \texttt{B} is still control-dependent on line \josep{6\deleted{5}}, as it has a direct effect on it, \josep{no termino de entender esta frase}\sergio{yo entiendo que se refiere a que el inner break (6) tiene control sobre B (8), pero no sobre C. Yo creo que si que se entiende bien}but the dependence \deleted{from line 5 to line 9}\sergio{demasiados line tal line cual}\added{between both \texttt{break} statements} introduces useless statements into the slice.
\caption{The system dependence graph for the program of figure \ref{fig:problem-break-sub}, with the slice marked in grey, and the slicing criterion in bold.\josep{En las condiciones pones O,P,Q en lugar de X,Y,Z}\sergio{eso es porque la liaste en el brainstorming con la O P Q, y lo rompiste todo, Josep's fault!! xD}}
The problem showcased in example~\ref{exa:problem-break-sub} can be generalized for any pair of unconditional jump statements that are nested and whose destination is the same. Formally, \josep{lo que sigue es bastante lioso. Yo crearia un entorno "problem" (como el de definition o example) y pondria el problema descrito formalmente en ese entorno. Despues, lo aclararia con una breve explicacion similar a la que hay entremezclada con la definicion formal}if a program $P$ contains a pair of unconditional jumps without any data \added{information} (e.g. \texttt{goto label}, \texttt{continue [label]}, \texttt{break [label]}, \texttt{return})\sergio{yo pondria 1, no los 4, que sino ya no es e.g. xD}\josep{Si esos cuatro son exhaustivos dejalos los cuatro, pero cambia e.g. por i.e.}$j_A$ and $j_B$ whose destinations (the instruction that will be executed after them) are $A$ and $B$, then $j_B$ is superfluous in the slice if and only if $A = B$ and $j_B$ is inside a conditional instruction $C$, and $j_A$ follows $C$ (not necessarily immediately). \carlos{Buscar mejor descripcion para la estructura ``nested''.}\carlos{Maybe use control dependencies between them.} Once $j_B$ is included, $C$ will also be included, and so will all of its data dependencies. \sergio{Esta definicion tiene varios vacios, estaba intentando proponer algo pero hay que definir varios conjuntos y es una definicion condicional del SC... propongo intentar hacer una mejor definicion entre los 3 el lunes}
\sergio{Dejo esto a medias a ver si partiendo de eso sacamos algo:}
\sergio{Let $P$ be a program, $C_{block}$ a block contained in a conditional statement $C$ of $P$, and $j_A$ and $j_B$ two unconditional jumps of $P$ without any data (e.g. \texttt{goto label}) which jump to the statements $A$ and $B$ respectively.}
\sergio{$j_B$$\in$ Superfluous in the slice w.r.t. SC $\iff$$A = B$$\wedge$$j_B$$\in$$C_{Block}$$\wedge$$\not\exists$ path $E_P$$\in$\{$CFG_P$ from $j_B$ to $SC$\} . $j_A$$\not\in$$E_P$}
As only the minimum amount of control edges are inserted into the PDG (according to definition~\ref{def:pdg}), the only edge that can be traverse to include the inner jump ($j_B$) is an edge $j_B \ctrldep j_A$. An exception can be included when generating the PDG, such that control edges between two unconditional jumps $j_X$ and $j_Y$ whose destinations are $X$ and $Y$ will not be included if $X = Y$.
If the edge is not present, all inner unconditional jumps and their containing structures will be excluded from the slice, unless they are included for another reason.
2019-12-07 23:47:45 +01:00
\josep{pon a continuacion un ejemplo solucionando el problema (al menos di como quedaría el SDG)}
\subsection{\josep{Problem 2: }Unnecessary instructions in weak slicing}
\josep{Esta frase esta mal construida}In the context of weak slicing, as \deleted{it is not necessary to behave exactly like the original program}\added{shown in chapter \ref{cha:incremental}??, the slicing criterion is not forced to behave in exactly the same way that the original program} . This means that some statements may be removed, even if it \deleted{means that a loop will become infinite}\added{results in an infinity loop execution}, or an \deleted{exception will not be caught}\added{uncaught exception behaviour}. The following example describes a specific \deleted{example}\added{scenario} which is generalized later in this section.
Consider the code for method \texttt{g} on figure~\ref{fig:problem-break-weak-code}, which features a simple loop with a \texttt{break} statement within. The slice in the middle has been created with respect to the \added{slicing} criterion (line 6, variable \texttt{x}), and includes everything except the print statement. This seems correct, as the presence of lines 4 and 5 determine the number of times line 6 is executed.
However, if \josep{one considers\deleted{you consider}} weak slicing, instead of strong slicing; the loop's termination stops mattering, lines 4 and 5 are no longer relevant. Without them, the slices produce\josep{\deleted{s}} an infinite list \josep{of} natural numbers (0, 1, 2, 3, 4, 5...)\sergio{\{}, but as that is a prefix \josep{suena raro que una lista infinita sea un prefijo de 0-9, mas bien es al reves}of the original program ---which outputs the numbers 0 to 9--- the program is still a valid slice (pictured on figure~\ref{fig:problem-break-weak-code}'s right side).\sergio{\}. Fortunately, this represents no inconvenience in the context of weak slicing, since the values given to the slicing criterion for the original program ---which is a list with the numbers 0 to 9--- is a prefix of the values generated by the slice, fulfilling the requirements of definition~\ref{XX}Creo que esto estaba en una definicion.}
Note that the removal of lines 4 and 5 is only possible if there are no statements in the slice after the \texttt{while} statement. If the slicing criterion \deleted{is}\added{was} line 8, variable \texttt{x}, lines 4 and 5 \deleted{are}\added{would be} required to print the value, as without them, the program would loop indefinitely and never execute line 8.
\caption{A simple loop with a break statement (left), its computed slice (middle) with respect to line 5, variable \texttt{x}, and the smallest weak slice (right) for the same slicing criterion.}
\label{fig:problem-break-weak-code}
\end{figure}
\end{example}
If we try to generalize this problem, it becomes apparent that instructions that jump backwards (e.g., \texttt{continue}) present a problem, as they may add executions in the middle, not at the end (where they can be disregarded in weak slicing). Therefore, not only has the jump to go forwards, but no instruction can be performed after the jump.
Therefore, a forward jump $j$ (e.g., \texttt{break}, \texttt{return [value]}, \texttt{throw [value]}) whose destination is $X$ is not necessary in a slice $S$ if and only \added{if} there is no statement $s \in S$ which is after $X$, meaning that there is a path from $X$ to $s$ in the CFG. \sergio{Si formalizamos mas arriba aqui habria que hacer lo propio.}
As with the previous error, the problem is not the inclusion of the jump and its controlling conditional instruction, but the inclusion of the data dependencies of the condition guarding the execution of the jump.
2019-12-08 03:18:07 +01:00
\subsubsection*{\josep{\deleted{Proposal}A solution for the unnecessary instructions in weak slicing}}
This problem cannot be easily solved, as it is a ``dynamic'' one, requiring information about the completed slice before allowing the removal of unconditional jumps and their dependencies. This means that the cost of this proposal \josep{cannot\deleted{can not}} be offloaded to the creation of the SDG as with the previous one.
\josep{frase incorrecta}Our proposal \deleted{revolves around temporarily remove}\added{is related to the temporal removal of} edges from the SDG: given an SDG of the form \josep{En la definicion de SDG salia esta sextupla?}$G =\langle N, E_c, E_d, E_{in}, E_{out}, E_{fc}\rangle$, \added{we} remove from $E_c$ any edge of the form $x \ctrldep y~|~x, y \in N$, where $x$ is an unconditional forward jump; \added{then,}\deleted{perform} the slice \added{is performed} normally; and \deleted{then}\added{finally} ---if there is any statement \added{located} after the destination of $x$ in the slice--- \added{we} restore the edges removed in the first step and recompute the slice.\sergio{no habia una solucion mejor que esta?, suena un poco a parche poco convincente} The slice would still be linear, because each node would be visited at most once; but the algorithm has a higher complexity, and the removal and restoration of the control edges has a cost; albeit small.
2019-12-08 03:18:07 +01:00
\josep{pon a continuacion un ejemplo solucionando el problema}
In this section we present an example where the current \deleted{approximation for the}\added{approach used to handle}\texttt{try-catch} statement\josep{s} fails to capture all the correct dependencies \deleted{and excludes}\added{, excluding} from the slice some statements \deleted{which}\added{that} are necessary for a complete slice (both weak and strong). After that, we generalize the set of cases where \deleted{that}\added{the lack of accuracy}\sergio{creo que aqui con ``that" te referias a la precision no?} is a problem and its possible appearances in real-life development. Finally, we propose a solution which\josep{that} properly represent\josep{s} all the dependencies introduced by the \texttt{try-catch}, focusing on producing complete strong slices.
Even though it continues to be used for control dependence, definition~\ref{def:ctrl-dep} does not have the same meaning when applied to conditional instructions\josep{en todo el documento se debería hablar de statements en lugar de instructions, porque instructions tiene connotación del paradigma imperartivo, mientras que statements engloba el imperartivo y el declarativo} and loops as it has when applied to unconditional jumps and other complex structures, such as the \texttt{switch} and \texttt{try-catch} statements.
Originally, the definition of control dependence signified that the execution of a statement affected whether or not another one executed (or kept executing)\sergio{$\leftarrow$ no se entiende esta frase. Creo que el whether sobra y el parentesis no lo entiendo}. In contrast, unconditional jumps, and \texttt{try-catch} statements' execution do not affect the following instructions; its presence or absence is what generates the control dependency. For those instructions, control dependencies are still generated with the same edges, but require the addition of extra edges to the CFG \cite{BalH93,AllH03}\sergio{estos son los psedo-predicate edges? Si son los falsos podemos referenciarlos dentro de la tesis, no hara falta irse a los articulos, sino parece que sean unos nuevos edges que no existian hasta le momento}.
In the current approximation\sergio{approach?} for exception handling \cite{AllH03}, \texttt{catch} blocks do not have any outgoing dependence leading anywhere except the instructions it contains. This means that, as showcased in chapter~\ref{cha:introduction}, the only way a \texttt{catch} statement may appear in a slice is if \added{the slicing criterion is inside the catch block, or if the value of a variable defined inside the catch block is needed (reaching it by data dependency).}\deleted{there is a data dependency or one of the statements inside it is needed.}
The only occasion in which \texttt{catch} blocks generate any kind of control dependency is when there is an exception thrown that is not covered by any of the \texttt{catch} blocks, and the function may exit with an exception. In that case, the instructions after the \texttt{try-catch} block are dependent on an uncaught exception not being thrown.\sergio{aqui hay arcos a todos los catch? Si es asi acabar la frase diciendo que se considera esa instruccion dependiente de todos los catch o algo asi para que quede mas claro.}
But, compared to the treatment of unconditional \added{jumps?,} exceptions does\josep{do} not match\sergio{quien does not match?} the treatment of \josep{a}\texttt{try-catch} statement: unconditional jumps have a non-executable edge to the instruction that would be executed in their absence; \texttt{catch} statements do not. \josep{Estos tres parrafos estan escritosa con mucha prisa y no se entienden bien}
Consider the code shown in figure~\ref{fig:catch-no-dep-code}, which depicts a \texttt{try-catch} where method \texttt{f}, which may throw an exception, is called. The function may throw either a \texttt{ExceptionA}, \texttt{ExceptionB} or \texttt{Exception}-typed exception; and the \texttt{try-catch} considers all three cases, logging the type of exception caught. Additionally, \texttt{f} accesses and modifies a global variable \texttt{x}. \josep{en el codigo no aparece la x. Seria más claro si apareciera}
The CFG and PDG associated to \deleted{that}\added{the} code \added{of Figure~\ref{fig:catch-no-dep-code}} is depicted in figure~\ref{fig:catch-no-dep-graphs}\added{\footnote{For the sake of clarity, in the PDG of figure~\ref{fig:catch-no-dep-graphs}, \texttt{log} function calls have been represented as a single node instead of their full node structures.}}. As can be seen, the only two elements that are dependent on any \texttt{catch} are the log statement and the unpacking of \texttt{x}. If the following statement used \texttt{x} in any way, all \texttt{catch} statements would be selected, otherwise they are ignored, and not deemed necessary. It is true that they are normally not necessary; i.e., if the slicing criterion was placed on \texttt{next} (line 10), the whole \texttt{try-catch} would be rightfully ignored; but there exist cases where \texttt{f()} (line 2) would be part of the slice, and the absence of \texttt{catch} statements would result in an incomplete slice.
Consider the code in figure~\ref{fig:incorrect-try-catch-code}, in which \deleted{a method}\added{the method \texttt{f}} is called twice: once inside a \texttt{try-catch} statement, and a second time, outside. \added{As it happened in example~\ref{exa:catch-no-dep}}, \texttt{f} also accesses and modifies variable \texttt{x}, which is redefined before the second call to \texttt{f}. Exploring this example, we demonstrate how line 3 will be necessary but not included in the slice.
\caption{A method \josep{\texttt{f}} that may throw exceptions\josep{\deleted{ (\texttt{f})}}, called twice, once surrounded by a \texttt{try-catch} statement, and another time after it. On the right, the definition of \texttt{f}.}
Figure~\ref{fig:incorrect-try-catch-graph} displays the program dependence graph for the snippet of code on the left side of figure~\ref{fig:incorrect-try-catch-code}. \josep{por que no se incluye el PDG de la parte derecha?}Data dependencies are shown in red, and summary edges\sergio{esto ya tiene una definicion clara en la seccion del SDG??} in blue. The set of nodes filled in grey represent the slice with respect to \deleted{a}\added{the} slicing criterion \added{$\langle4, x \rangle$}\josep{no usar la misma numeracion en los dos fragmentos de codigo} in method \texttt{f}\deleted{(line 4, \texttt{x})}\sergio{plantearse si poner los SC asi o dejarlo como (line X, variable Y)}. In the slice, both calls to \texttt{f} and its input (\texttt{x\_in = x}) are included, but the \texttt{catch} block is not present. The execution of the slice may not be the same: if no exception is thrown, there is no change; but if \texttt{x} was odd before entering the snippet, an exception \deleted{will}\added{would} be thrown and not caught, exiting the program prematurely.
\caption{The \deleted{system dependence graph}\added{SDG} of the left snippet of figure~\ref{fig:incorrect-try-catch-code}. \texttt{f} and the \deleted{edges that connect to it}\added{associated inter-procedural edges} are not shown for simplicity.}
\added{In order to solve the drawback exposed above, we propose the}\texttt{catch} statements \added{to be handled as}\deleted{should be handled like} unconditional jumps \added{were in \cite{}}\sergio{pending Cite}: a non-executable edge should connect them to the instruction that would run if they were absent. For \texttt{catch} statements, the non-executable edge would connect them to the \texttt{catch} that contains the most immediate super-type (or multiple); or to the error exit, if no other \texttt{catch} could catch the same exception. This would create a tree-like structure among \texttt{catch} statements, with the root\sergio{root o leave? si es connect to seria leave, sino seria edge connecting the super-type to catch type} of each tree connected to the ``error exit'' of the method. This would generate dependencies between \texttt{catch} statements, and more importantly, dependencies from the \texttt{catch} statements to the instructions that follow the \texttt{try-catch} statement.
Unfortunately, this creates the same behaviour as with unconditional jumps: all the instructions that follow a \texttt{try-catch} structure is dependent on the presence of the \texttt{catch} statements, which in turn are dependent on all the statements that may throw exceptions. In practice, the inclusion of any statement after a \texttt{try-catch} statement would require the slice to include all \texttt{catch} statements, the statements that may throw exceptions, and all the statements required by control or data dependencies. This is a huge number of instructions just for including the \texttt{catch} statements.
2019-12-09 14:08:53 +01:00
\josep{Los tres parrafos que siguen pretenden resumir todo el trabajo y las discusiones que hemos tenido en varias reuniones sobre como tratar el 1 y el 2 para que el catch sea completo y preciso. Evidentemente, en tres parrafos no se puede explicar, y se requiere de una buena explicacion, de un ejemplo, etc. Entiendo que es la falta de tiempo... }
\sergio{Lo que viene a continuacion suena a parche y es una contribucion muy tocha, de hecho es nuestra mejor baza.}Our solution makes slices complete again, but makes them much less correct. \deleted{As a solution for the incorrectness}\added{However, analysing the behaviour of the catch dependencies, we propose a new technique to improve the downgraded accuracy. This technique follow the same basis that the one proposed for unconditional jumps, and consists in the insertion of}\deleted{ we could insert} an additional requirement when including \texttt{catch} blocks: if they are included because of their control dependencies on instructions outside the \texttt{try-catch}, they need to satisfy an additional condition before being in the slice: have a node in the slice which may throw a compatible exception.
\sergio{Esto hay que pulirlo y anyadir un dibujo con los arcos 1 y 2 en verde. El verde no es importante, es solo una senya de identidad en el dibujo. Lo importante es la etiqueta $\rightarrow$}
In order to achieve this, control dependencies whose source is a \texttt{catch} node and its destination is outside that same \texttt{catch} are coloured green and labelled (2). Additional edges are added between every \texttt{catch} and any statement that may throw a compatible exception; are also coloured green, and labelled (1). When traversing the graph, only include \texttt{catch} statements if they are reached through an unlabelled edge or if they are reached by at least one edge with each label (1 and 2). \carlos{Add que solo se pueda atravesar uno de los arcos verdes (una vez llegas a un nodo a traves de un arco verde, no continuas recorriendo arcos verdes)}\carlos{optimizacion 2, que los nodos catch se repitan para cada funcion tenga los suyos propios. El contenido del catch es comun a todos, pero las cabeceras y el despempaquetamiento de variables es individual para cada funcion. De este modo no se coge a todas las funciones. Tambien se podria emplear como alternativa a los arcos etiquetados, creando un set de nodos que no tienen padre, y sirven exclusivamente para que las instrucciones futuras dependan de ellas.}
% \begin{example}[Order of \texttt{catch} statements]
% Consider the following exception types declared in figure~\ref{fig:catch-order-code}, and their ordering in a simple \texttt{try-catch} statement. The \texttt{catch} blocks may be reorganized in any order if the type
% \begin{figure}[h]
% \begin{minipage}{0.60\linewidth}
% \begin{lstlisting}
% class ExceptionA extends Exception {...};
% class ExceptionB extends Exception {...};
% class ExceptionB1 extends ExceptionB {...};
% class ExceptionB2 extends ExceptionB {...};
% \end{lstlisting}
% \end{minipage}
% \begin{minipage}{0.39\linewidth}
% \begin{lstlisting}
% try {
% [...]
% } catch (ExceptionB2 e) {
% [...]
% } catch (ExceptionA e) {
% [...]
% } catch (ExceptionB1 e) {
% [...]
% } catch (ExceptionB e) {
% [...]
% } catch (Exception e) {
% [...]
% }
% \end{lstlisting}
% \end{minipage}
% \caption{A set of type declarations that extend the class \texttt{Exception} (left) and a small \texttt{try-catch} with the exceptions sorted in one of the valid orders (right).}
% \label{fig:catch-order-code}
% \end{figure}
% \end{example}
% \texttt{catch} blocks can be organized in two different orders: the physical order in which they are placed by the developer, which is the order in which they will be evaluated to check for type compatibility (in Java specifically); or a tree-like structure according to their types. Figure~\ref{fig:catch-order} showcases a couple of examples of each order. In Java's case, the tree structure is more correct; because though the order ``seems'' to matter, there is only one possible execution order.
% \caption{Two ways of looking at \texttt{catch} block orders: user-specified (left) and type-based tree (right).}
% \label{fig:catch-order}
% \end{figure}
% \newpage
% \section{Previous text}
% \carlos{Here begins the old text.}
% \hrulefill
% This solution is an extension of Allen's \cite{AllH03}, with some modifications to solve the problem found \josep{el problem found no ha quedado claro. Se ha diluido entre la maraña abrumadora de casos. debes formular y dejar nitido cristalino cual es el problema y por qué no lo solucinan las dsemás aproximaciones, y poner un ejempllo concreto.}. Before starting, we need to split all instructions in three categories:
% \begin{description}
% \item[statement] non-branching instruction, e.g. an assignment or method call.
% \item[predicate] conditional branch, e.g. if statements and loops.
% \item[pseudo-predicate] unconditional jump, e.g. break, continue, return, goto and throw instructions.
% \end{description}
% Pseudo-predicates have been previously use to model unconditional jumps with a counter-intuitive reasoning: the next statement that would be executed were the pseudo-predicate not there would be executed, therefore it is control dependent on it. Going back to the definition of control dependency, one could argue that the real control dependency is on the conditional branch that lead to the \josep{???}
% \begin{figure}
% \centering
% \begin{lstlisting}
% if (a) {
% return a;
% }
% print(a);
% \end{lstlisting}
% \begin{lstlisting}
% if (a) {
% }
% print(a);
% \end{lstlisting}
% \caption{Example of pseudo-predicates control dependencies \josep{no se referencia a esta figura desde ningún sitio}}
% \end{figure}
% This is the process used to build the Program Dependence Graph. \josep{Todo lo que sigue es demasiado verbose. No hay definiciones concretas. Es todo muy informal, y no hay un ongoing example que permita ver como las fases van evolucionando paso a paso. Nos reunimos para hablar de esta sección antes de reescribirla...}
% \begin{description}
% \item[Step 1 (static analysis):] Identify for each instruction the variables read and defined. Each method is annotated with the global variables that they access or modify.
% \item[Step 2 (build CFGs):] Build a CFG for each method of the program. The start of all methods is a vertex labeled \textit{enter}, which also contains the assignments for parameters and global variables used (\texttt{var = var\_in}). The \textit{enter} node is connected to the first instruction of the method. In a similar fashion, all methods end in an \textit{exit} vertex with the corresponding output variables. There exists one \textit{normal exit} to which the last instruction and all return instructions are connected. If the method can throw any exceptions, there exists one \textit{error exit} for each type of exception that may be thrown. The normal and erroneous exits are connected to the \textit{exit} node.
% Every normal statement is connected to the subsequent one by an unlabeled edge. Predicates have two outgoing edges, labeled \textit{true} and \textit{false}. Pseudo-predicates also have two outgoing edges. The \textit{true} edge is connected to the destination of the jump (\textit{normal exit} in the case of return, the begin or end of the loop in the case of continue and break, etc.). The \textit{false} edge is a non-executable edge, marked with a dashed line, and it is connected to the next instruction that would be executed if the pseudo-predicate was a \textit{nop}.
% Nodes that represent a call to a method $M$ include the transfer of parameters and variables that may be read or written to, then execute the call, and finally the extraction of modified variables. Call nodes are an exception to the previous paragraph, as they can have an unlimited amount of outgoing edges. Each outgoing edge lands on a pseudo-predicate which indicates if the execution was correct or an exception was raised. The executable edge of each pseudo-predicate will lead to the next instruction to be executed, whereas the non-executable one will lead to the end of the try-catch block. All call nodes can lead to a \textit{normal return} node, which is linked to the next instruction, and one error node for each type of exception that may be thrown. The erroneous returns are labeled \textit{catch ExType}, and lead to the first instruction in the corresponding catch block\footnotemark. Any exception that may not be caught will lead to the erroneous exit node of the method it's in. See the example for more details.
% \footnotetext{A problem presents itself here, as some exceptions may be able to trigger different catch blocks, due to the secuential nature of catches and polymorphism in Java. A way to fix this is to make catch blocks behave as a switch.}. %TODO
% \item[Step 3 (compute dependences):] For each node in the CFG, compute the control and data dependencies. Non-executable edges are only included when computing control dependencies.\\
% A node $a$ is \textit{control dependent} on node $b$ iff $a$ post-dominates one but not all of $b$'s successors.\\
% A node $a$ is \textit{data dependent} on node $b$ iff $b$ defines or may define a variable $x$, $a$ uses or may use $x$, and there is an $x$-definition-free path in the CFG from $b$ to $a$.\\
% \item[Step 4 (convert each CFG into a PDG):] each node of the CFG is one node of the PDG, with two exceptions. The first are the \textit{enter}, \textit{exit} and method call nodes, where the variable input and output assignments are split and placed as control-dependent on their original node. The second is the \textit{exit} node, which is to be removed (the control-dependencies from \textit{exit} to the variable outputs is transferred to the \textit{enter} node). Then all the dependencies computed in the previous step are drawn.
% \item[Step 5 (connect PDGs to form a SDG):] each method call to $M$ must be connected to the \textit{enter} node in $M$'s PDG, as a control dependence. Each variable input from the method call is connected to a variable input of the method definition via a data dependence. Each variable output from the method definition is connected to the variable output of the method call via a data dependence. Each method exit is connected \carlos{complete}.
% \item An extra type of control dependency represented by an ``exception edge''. It will represent the need to include a \textit{catch} clause when an exception can be thrown. It is represented with a dotted line (dashed line is for data dependency). These edges have a special characteristic: when one is traversed, only ``exception edges'' may be traversed from the new nodes included in the slice. If the same node is reached by another kind of edge, the restriction is lifted. The behavior is documented in algorithm \ref{alg:2pass}, with changes from the original algorithm are \underline{underlined}.
% \item Add an extra ``exception edge'' from each ``exit with exception of type T'' node, where the type of the exception is \texttt{t} to all the corresponding ``\texttt{throw e}'', such that \texttt{e} is or inherits from \texttt{T}.
% \item Add an extra ``exception edge'' from each catch statement to every statement that can throw that error.
% \item The exception edges will only be placed when the method or the try-catch statement are loop-carrier\footnote{Loop-carrier, when referring to a statement, is the property that in a CFG for the complete program, the node representing the statement is part of a loop, meaning that it could be executed again once it is executed.}.
% \end{itemize}
% \begin{algorithm} % generate slice
% \caption{Two-pass algorithm to obtain a backward static slice with exceptions}
% \label{alg:2pass}
% \begin{algorithmic}[1]
% \REQUIRE SDG $\mathcal{G}$ representing program P. $\mathcal{G} = \{\mathcal{S}, \mathcal{E}\}$, where $\mathcal{S}$ is a set of states (some are statements) connected by a set of edges $\mathcal{E}$. Each edge, is a triplet composed of the type of edge (control, data or \underline{exception} dependency, summary, param-in, param-out), the source and destination of the edge.
% \REQUIRE A slicing criterion, composed of a statement $s \in \mathcal{S}$ and a variable $v$.
% \ENSURE $\mathcal{S}' \subseteq \mathcal{S}$, representing the slice of P according to the criterion provided.
% \medskip
% \COMMENT{First pass (do not traverse output parameter edges).}
