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KBSE
2007
IEEE
14 years 1 months ago
Nighthawk: a two-level genetic-random unit test data generator
Randomized testing has been shown to be an effective method for testing software units. However, the thoroughness of randomized unit testing varies widely according to the settin...
James H. Andrews, Felix Chun Hang Li, Tim Menzies
IWANN
2009
Springer
14 years 2 months ago
Aiding Test Case Generation in Temporally Constrained State Based Systems Using Genetic Algorithms
Generating test data for formal state based specifications is computationally expensive. This paper improves a framework that addresses this issue by representing the test data ge...
Karnig Derderian, Mercedes G. Merayo, Robert M. Hi...
TIT
2002
129views more  TIT 2002»
13 years 7 months ago
Arbitrary source models and Bayesian codebooks in rate-distortion theory
-- We characterize the best achievable performance of lossy compression algorithms operating on arbitrary random sources, and with respect to general distortion measures. Direct an...
Ioannis Kontoyiannis, Junshan Zhang
ALMOB
2008
131views more  ALMOB 2008»
13 years 7 months ago
Fast algorithms for computing sequence distances by exhaustive substring composition
The increasing throughput of sequencing raises growing needs for methods of sequence analysis and comparison on a genomic scale, notably, in connection with phylogenetic tree reco...
Alberto Apostolico, Olgert Denas
ALT
2005
Springer
14 years 4 months ago
An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron
This paper deals with an unusual phenomenon where most machine learning algorithms yield good performance on the training set but systematically worse than random performance on th...
Adam Kowalczyk, Olivier Chapelle