KMC > About the project
Recently, we  have discovered a fundamental connection between the classical theories of Kleene’s regular expressions  and Church’s Theory of Simple Types . In contrast to the conventional theory of regular languages and finite automata, this connection interprets regular expressions as types, which provides a framework for the prevalent practical use of regular expressions for extracting information from an input, not just classifying it into accepting/nonaccepting.
The overall objective of KMC is: to develop the theoretical foundations of this connection; to explore and demonstrate guaranteed safety and expressiveness of programming with regular expressions as types; and to drastically improve computational performance and scalability vis a vis commonly used regular expression processing tools, notably Perl.
(foundations, 4/2012-8/2013) develop and apply coinductive axiomatizations of regular language containment that admit functional interpretations of containment proofs as computationally efficient syntax-tree transformations;
(algorithms, 4/2012-8/2013) design and implement guaranteed space- and time-efficient algorithms for regular expression based substring matching, parsing and transformation (specifically substitution), with improved predictable asymptotic scalability and with high-performance implementation on both single-core and next-generation parallel (specifically multicore and GPGPU) hardware architectures;
(extensions, 9/2013-8/2014) apply the above logical and algorithmic techniques to commonly used extensions to regular expressions such as Kleene Algebra with Test, back references, probabilistic regular expressions (Hidden Markov Models), context-free grammars; and to achieve “pay-as-you-go” performance (that is, computationally inherently costly extensions such as backreferences only have a performance impact when actually used);
(types, 3/2013-3/2015) design type systems and develop type inference techniques for scripting languages for agile, yet safe software development, using regular expressions as a refinement type system for strings;
- (applications, 4/2012-8/2012 and 9/2013-3/2015) develop and empirically evaluate regular expression processing tools and libraries that are semantically, expressively and algorithmically substantially improved in comparison to so-called Perl-compliant regular expressions, which are widely used in programming practice.
The project will partially consolidate, partially generalize much of the recent results on regular expression algorithmics, semantics, and (regular expression) types. It will draw on both algorithmic and programming-language theoretic techniques as well as practical software implementation for empirical evaluation. The results will be made widely available in the form of published articles and high-performance open source software and systems.
Regular expressions have traditionally been treated automata-theoretically in theoretical computer science, with little concern for their common use to extract information. The current practice of regular expression based processing, as embodied in popular programming languages is conspicuously void of good execution performance, predictable semantics and robust behavior, despite regular expressions being more widespread than ever. This project seeks to fill this void by providing a coherent general type-theoretic framework for regular expressions as grammars, with containment (subtyping) interpreted as operationally significant — and practically useful and efficient — coercions.
Collaboration and Education
We are applying for funding for two Ph.D. students. They will be affiliated with the cross-institutional graduate program (Danish: forskeruddannelsesprogram) Foundations of Innovative Research-based Software Technolgy (FIRST); see first.dk. The project will be cooperating with Cornell University (work packages: foundations and extensions, 1 Ph.D. student), IBM Research and Purdue University (work packages: types and algorithms, applied specifically to the scripting language Thorn, 1 Ph.D. student), with applied research projects at DIKU, and with the Open Source community at large. We also expect additional cooperations to develop at a national level, specifically with the IT University of Copenhagen (work package: applications), with DTU (work package: algorithms) and with other departments at the Faculty of Science at U. Copenhagen, specifically the Niels Bohr Institute (work package: algorithms and applications, specifically relating to high-performance parallel hardware architectures) and the Bioinformatics Centre (work package: extensions, specifically probabilistic regular expressions). Finally it will be supported by a number of B.S. and M.S. theses at DIKU (work package: applications).
Motivated by a finite state machine model of nerve nets, Kleene introduced regular expressions to describe and characterize the languages (sets of event sequences or strings) finite automata can recognize . Subsequently, regular expressions have become a core part of classic automata and computability theory, with numerous applications in bioinformatics, compilers (lexical analysis), logic, natural language processing, program verification, protocol specification, query processing, security, XML access paths and document types, and, generally, all forms of searching, matching and substitution in texts or semi-structured data.
State of the Art and Research Hypotheses
Regular expressions became popular with the advent of Unix utilities in the 70s and 80s, notably egrep, sed and awk for flexible pattern matching for interactive search-and-replace op- erations, and in connection with Perl in the 90s for automatic processing of semi-structured data such as web logs stored in ordinary text files. The theoretically well-studied problem of regular expression matching in the sense of yielding only a yes/no answer is often insufficient in many applications, however. An intensional answer is required: where and how a string matches the parts of a regular expression and/or how the input is transformed. This makes automata-theoretic methods, which do not distinguish between regular expressions yielding the same yes/no answers, a priori inapplicable, and extending them is far from straightforward. Indeed, the popular Perl-compliant regular expressions (PCREs)  abandon predictable efficiency altogether and employ backtracking parsing, resulting in worst-case exponential time, stack overflows or even nontermination, even though acceptance testing can be performed in linear time and constant space. Part of the problem is that regular expressions are grammatically ambiguous [4, 30], which complicates efficient parsing and may yield unexpected results for a user. Grammatical ambiguity suggests the application of general context-free parsing techniques. Asymptotically faster techniques exploiting regularity have been devised, however. These are either not fully general , not linked up to ambiguity resolution , or require right-to-left input processing , which is not appropriate for streaming input, however. Our recently developed parsing method  based on bit-coded representations  shows that these restrictions can be overcome, while simultaneously improving execution time efficiency. We conjecture that even greater efficiency improvements are possible by combining finite state transducer minimization, efficient graph reachability algorithms and employing parallel prefix scan algorithms on GPGPU hardware.
There is a number of sound and complete axiomatizations of regular expression equivalence [27, 22, 13]. These are neither related to algorithms for deciding membership, equivalence or containment (which typically rely on automata constructions) nor given computional interpretations of proofs as syntax-tree transformers, however. We conjecture that our coinductive approach  provides a general axiomatic framework for efficiently translating automata-based matching for streaming input back into a syntax-tree for the regular expression via the operational interpretation af equivalence (containment) proofs as syntax transformers.
Motivated by designing static typing for XML document processing, regular expression types have been proposed  and implemented in novel functional and imperative programming language designs [1, 20, 12] with built-in XML support. Despite their name these are proper extensions of regular expressions. Regular expressions as (sub)types of strings occur for the first time in connection with regular expression parsing  and coinductive axiomatization of regular expression containment . A particularly promising aspect of treating regular expressions as static types that appears to be unexplored so far is space-efficient bit coding for strings that are statically known to belong to a particular regular expression: bit coding is a grammatical data compression technique that can be traced back to the 80s (e.g. ) and is used in, e.g., oracle-based proof codings in proof-carrying code . As it is orthogonal to statistical data compression, bit coding can achieve improved compression when combined with it.
With the rise of scripting languages there is a renewed interest in Soft and Dynamic Typing [7, 15, 16] for integrating statically and dynamically type-checked software components [14, 29, 31]. Since modern scripting languages such as Thorn  operate on strings as a form of universal data type, we conjecture that regular expressions as static types provide a useful, if not necessary, refinement type system for strings to represent the result of transitioning (by inference or by hand annotations) dynamically typed code to statically typed code guaranteed to be safe from certain kinds of failures (crashes due to run-time type errors) and attacks (spoofing, injection).
Beyond automata and regular expressions, coinduction occurs naturally as a way of reasoning about coalgebraic structures [28, 26, 3], notably for (bi)simulation. We conjecture that axiomatizations traditionally formulated using a unique fixed point rule can be given logically equivalent coinductive axiomatizations where the canonical operational interpretation of the coinduction rule as recursion  may lead to interesting Curry-Howard style operational interpretations of proofs.
The project will be structured into work packages aimed at accomplishing the individual objectives listed in Section 1, with semiannual milestones to evaluate progress and adjust the research plan according to the results and knowledge attained, plus an additional work package for coordination, collaboration and outreach: organizing international workshops, coordinating exchange visits with collaborators, managing web site (including resource portal on both theory and practice of regular expressions, presently only the latter exists), and facilitating popular scientific outreach activities (scientific survey, popular article on the speed of proofs).
Publications will be targeted at top-tier conferences (LICS, POPL, PLDI, ICFP) and research journals (TOPLAS, TOCL, JFP), with running workshop and applied conference participation and publication for ongoing interaction with the research community.
- Véronique Benzaken, Giuseppe Castagna, and Alain Frisch. CDuce: An XML-centric general-purpose language. In Proc. 8th ACM SIGPLAN Int’l Conf. on Functional Programming (ICFP), pages 51–63, New York, NY, USA, 2003. ACM.
- B. Bloom, J. Field, N. Nystrom, J. Östlund, G. Richards, R. Strnisa, J. Vitek, and T. Wrigstad. Thorn: Robust, concurrent, extensible scripting on the JVM. In Proceeding of the 24th ACM SIGPLAN conference on Object oriented programming systems languages and applications, pages 117–136. ACM, 2009.
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