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» Using a neural network in the software testing process
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ICML
1997
IEEE
14 years 9 months ago
Predicting Multiprocessor Memory Access Patterns with Learning Models
Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli...
COMPSAC
2010
IEEE
13 years 7 months ago
Using Load Tests to Automatically Compare the Subsystems of a Large Enterprise System
Enterprise systems are load tested for every added feature, software updates and periodic maintenance to ensure that the performance demands on system quality, availability and res...
Haroon Malik, Bram Adams, Ahmed E. Hassan, Parmind...
NDSS
2008
IEEE
14 years 3 months ago
Automated Whitebox Fuzz Testing
Fuzz testing is an effective technique for finding security vulnerabilities in software. Traditionally, fuzz testing tools apply random mutations to well-formed inputs of a progr...
Patrice Godefroid, Michael Y. Levin, David A. Moln...
AGILEDC
2007
IEEE
14 years 3 months ago
On the Sustained Use of a Test-Driven Development Practice at IBM
Test-Driven Development (TDD) is an agile practice that is widely accepted and advocated by most agile methods and methodologists. In this paper, we report on a post hoc analysis ...
Julio Cesar Sanchez, Laurie A. Williams, E. Michae...
ESANN
2004
13 years 10 months ago
Modelling of biologically plausible excitatory networks: emergence and modulation of neural synchrony
To emphasize the electrical nature of information processing in the brain we use a compartmental model of single neurons. The realistic simulation of wave-like activity in the recu...
Karsten Kube, Andreas Herzog, Vadym Spravedlyvyy, ...