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ICALT
2010
IEEE
13 years 8 months ago
Improve the Output from a MCQ Test Item Generator Using Statistical NLP
In this study I use statistical Natural Language Processing and adapted Controlled Language methods to preprocess individual documents before they are used as source documents for ...
Robert Michael Foster
FORTE
2008
13 years 8 months ago
Detecting Communication Protocol Security Flaws by Formal Fuzz Testing and Machine Learning
Network-based fuzz testing has become an effective mechanism to ensure the security and reliability of communication protocol systems. However, fuzz testing is still conducted in a...
Guoqiang Shu, Yating Hsu, David Lee
ITC
1997
IEEE
129views Hardware» more  ITC 1997»
13 years 11 months ago
On Using Machine Learning for Logic BIST
This paper presents a new approach for designing test sequences to be generated on–chip. The proposed technique is based on machine learning, and provides a way to generate effi...
Christophe Fagot, Patrick Girard, Christian Landra...
AAAI
1994
13 years 8 months ago
Recovering Software Specifications with Inductive Logic Programming
We consider using machine learning techniques to help understand a large software system. In particular, we describe how learning techniques can be used to reconstruct abstract Da...
William W. Cohen
PTS
2003
108views Hardware» more  PTS 2003»
13 years 8 months ago
Fault Diagnosis in Extended Finite State Machines
In this paper, we propose a method for the derivation of an adaptive diagnostic test suite when the system specification and implementation are given in the form of an extended fin...
Khaled El-Fakih, Svetlana Prokopenko, Nina Yevtush...