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Paper - Proceedings of the 2nd Conference on Domain-Specific Languaes,
October 3-5, 1999, Austin, Texas
[Technical Program]
| Pp. 163–178 of the Proceedings |  |
Hancock:
A Language for Processing Very Large-Scale Data
Dan Bonachea 1
Kathleen Fisher
Anne Rogers
Frederick Smith2
AT&T Labs
Shannon Laboratory
180 Park Avenue
Florham Park, NJ 07932, USA
bonachea@cs.berkeley.edu
{kfisher,amr}@research.att.com
fms@cs.cornell.edu
Abstract A signature is an evolving customer profile computed
from call records. AT&T uses signatures to detect fraud and to
target marketing. Code to compute signatures can be difficult to
write and maintain because of the volume of data. We have designed and
implemented Hancock, a C-based domain-specific programming language
for describing signatures. Hancock provides data abstraction
mechanisms to manage the volume of data and control abstractions to
facilitate looping over records. This paper describes the design and
implementation of Hancock, discusses early experiences with the
language, and describes our design process.
This document was tranlated from LATEX by
HEVEA and HACHA.
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Technical Program