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                          I N R I A - Rocquencourt
                        Amphi Turing du bâtiment 1

                            Mardi 29 mars, 10h30

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                             Yitzhak Mandelbaum
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                            AT&T Labs - Research

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  Yakker: revisiting the challenges and opportunities of parsing research
  =======================================================================

Parsing -- the task of converting a sequence of bits into structured
information -- is a ubiquitous challenge in software systems.  Despite its
ubiquity, though, its many manifestations conveniently share many
characteristics, making it a domain in its own right. As such, it presents a
ripe opportunity for research into domain-specific languages that capture
shared parsing abstractions and simplify the process of parsing. Moreover, the
benefits to the software ecosystem of improved language support for parsing
could not be more plentiful or more stark: parsing bugs in security critical
applications, for example, continually expose business and users to the most
severe forms of malicious exploits.

In this talk, I will discuss the Yakker project, which aims to create a set of
languages and tools that provide cross-domain and cross-language support for
developing and maintaining parsing software, both standalone and embedded
within larger systems.  I will give an overview of the current architecture of
the Yakker software, and discuss the design and implementation of a number of
its core features.  Time permitting, I will discuss some of the open
challenges both within the Yakker project and in parsing research in general.

Joint work with Trevor Jim.

Yitzhak Mandelbaum is a researcher at AT&T Labs - Research.  His research
interests include programming languages, software reliability, parsing and
computer security. Yitzhak joined AT&T in 2006, after completing his Ph.D. in
computer science at Princeton University. Yitzhak received an M.S. and
B.A. degrees in computer science from Princeton University in 2003 and 1999,
respectively.