
diff -r 6291181fad07 -r 1500f96707b0 thys2/Paper/document/root.tex
--- a/thys2/Paper/document/root.tex	Sun Jan 30 23:36:31 2022 +0000
+++ b/thys2/Paper/document/root.tex	Sun Jan 30 23:37:29 2022 +0000
@@ -45,33 +45,59 @@
 \titlerunning{POSIX Lexing with Bitcoded Derivatives}
 \author{Chengsong Tan}{King's College London}{chengsong.tan@kcl.ac.uk}{}{}
 \author{Christian Urban}{King's College London}{christian.urban@kcl.ac.uk}{}{}
+\authorrunning{C.~Tan and C.~Urban}
+\keywords{POSIX matching, Derivatives of Regular Expressions, Isabelle/HOL}
+\category{}
+\ccsdesc[100]{Design and analysis of algorithms}
+\ccsdesc[100]{Formal languages and automata theory}
+\Copyright{\mbox{}}
+\nolinenumbers
 
 
 \begin{document}
 \maketitle
 
 \begin{abstract}
-Brzozowski introduced the notion of derivatives for regular
-expressions. They can be used for a very simple regular expression
-matching algorithm.  Sulzmann and Lu cleverly extended this algorithm
-in order to deal with POSIX matching, which is the underlying
-disambiguation strategy for regular expressions needed in lexers.
-Their algorithm generates POSIX values which encode the information of
-\emph{how} a regular expression matches a string---that is, which part
-of the string is matched by which part of the regular expression.  In
-this paper we give our inductive definition of what a POSIX value is
-and show $(i)$ that such a value is unique (for given regular
-expression and string being matched) and $(ii)$ that Sulzmann and Lu's
-algorithm always generates such a value (provided that the regular
-expression matches the string). We show that $(iii)$ our inductive
-definition of a POSIX value is equivalent to an alternative definition
-by Okui and Suzuki which identifies POSIX values as least elements
-according to an ordering of values.  We also prove the correctness of
-Sulzmann's bitcoded version of the POSIX matching algorithm and extend the
-results to additional constructors for regular expressions.  \smallskip
-
-{\bf Keywords:} POSIX matching, Derivatives of Regular Expressions,
-Isabelle/HOL
+  Sulzmann and Lu described a lexing algorithm that calculates
+  Brzozowski derivatives using bitcodes annotated to regular
+  expressions.  Their algorithm generates POSIX values which encode
+  the information of \emph{how} a regular expression matches a
+  string---that is, which part of the string is matched by which part
+  of the regular expression.  The purpose of the bitcodes is to generate POSIX values incrementally while
+  derivatives are calculated. They also help with designing
+  an `aggressive' simplification function that keeps the size of
+  derivatives small. Without simplification derivatives can grow
+  exponentially resulting in an extremely slow lexing algorithm.  In this
+  paper we describe a variant of Sulzmann and Lu's algorithm: Our
+  algorithm is a recursive functional program, whereas Sulzmann
+  and Lu's version involves a fixpoint construction. We \textit{(i)}
+  prove in Isabelle/HOL that our program is correct and generates
+  unique POSIX values; we also \textit{(ii)} establish a polynomial
+  bound for the size of the derivatives. The size can be seen as a
+  proxy measure for the efficiency of the lexing algorithm: because of
+  the polynomial bound our algorithm does not suffer from
+  the exponential blowup in earlier works.
+  
+  % Brzozowski introduced the notion of derivatives for regular
+  % expressions. They can be used for a very simple regular expression
+  % matching algorithm.  Sulzmann and Lu cleverly extended this
+  % algorithm in order to deal with POSIX matching, which is the
+  % underlying disambiguation strategy for regular expressions needed
+  % in lexers.  Their algorithm generates POSIX values which encode
+  % the information of \emph{how} a regular expression matches a
+  % string---that is, which part of the string is matched by which
+  % part of the regular expression.  In this paper we give our
+  % inductive definition of what a POSIX value is and show $(i)$ that
+  % such a value is unique (for given regular expression and string
+  % being matched) and $(ii)$ that Sulzmann and Lu's algorithm always
+  % generates such a value (provided that the regular expression
+  % matches the string). We show that $(iii)$ our inductive definition
+  % of a POSIX value is equivalent to an alternative definition by
+  % Okui and Suzuki which identifies POSIX values as least elements
+  % according to an ordering of values.  We also prove the correctness
+  % of Sulzmann's bitcoded version of the POSIX matching algorithm and
+  % extend the results to additional constructors for regular
+  % expressions.  \smallskip
 \end{abstract}
 
 




