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» Composing Tests from Examples
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ILP
2001
Springer
15 years 3 months ago
Learning Functions from Imperfect Positive Data
The Bayesian framework of learning from positive noise-free examples derived by Muggleton [12] is extended to learning functional hypotheses from positive examples containing norma...
Filip Zelezný
103
Voted
AMOST
2005
ACM
15 years 4 months ago
Modeling requirements for combinatorial software testing
The combinatorial approach to software testing uses models to generate a minimal number of test inputs so that selected combinations of input values are covered. The most common c...
Christopher M. Lott, Ashish Jain, Siddhartha R. Da...
DAC
2005
ACM
15 years 12 months ago
StressTest: an automatic approach to test generation via activity monitors
The challenge of verifying a modern microprocessor design is an overwhelming one: Increasingly complex micro-architectures combined with heavy time-to-market pressure have forced ...
Ilya Wagner, Valeria Bertacco, Todd M. Austin
106
Voted
AADEBUG
2005
Springer
15 years 27 days ago
Random testing of C calling conventions
In a C compiler, function calls are difficult to implement correctly because they must respect a platform-specific calling convention. But they are governed by a simple invariant...
Christian Lindig
87
Voted
ICCV
2005
IEEE
16 years 25 days ago
Detecting Irregularities in Images and in Video
We address the problem of detecting irregularities in visual data, e.g., detecting suspicious behaviors in video sequences, or identifying salient patterns in images. The term &qu...
Oren Boiman, Michal Irani