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Rice University
Department of Computer Science
presents
Darko Marinov
Massachusetts Institute of Technology
Automatic Testing of Software with Structurally Complex Inputs
Abstract
Modern software pervasively uses structurally complex data such as
linked data structures. The standard approach to generating test
suites for such software, manual generation of the inputs in the
suite, is tedious and error-prone. This talk presents Korat, a new
technique that automates the generation of suites with structurally
complex test inputs. Korat allows the developer to describe the
properties of valid inputs using a familiar implementation language
such as Java. Given a description and a bound on the input size, a
Korat tool automatically generates the test suite.
Korat tools have been implemented and used in both academia and
industry. Developers typically use these tools to generate
bounded-exhaustive test suites that contain all nonequivalent inputs
up to a given size. Our results show that this approach provides
high-quality test suites that achieve excellent code coverage for
data-structure libraries. Moreover, developers have successfully used
this approach to discover errors in real applications, including a
naming architecture for networks, a solver for declarative predicates,
a fault-tree analyzer, and several tools for XML languages.
Darko Marinov is a faculty candidate.
Short Bio: Darko Marinov is a Ph.D. student in Computer Science at
MIT, where he leads the MulSaw project on software reliability. He
received an S.M. from MIT for work on credible compilation and a
B.S. in Computer Science and Engineering from the University of Belgrade.
Monday, April 12, 2004 at 3:00 p.m. in DH 1070
Reception preceding the talk at 2:30 p.m. in DH 3092
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