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» A Machine Learning Approach for Statistical Software Testing
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FTCS
1998
144views more  FTCS 1998»
14 years 11 months ago
Improving Software Robustness with Dependability Cases
Programs fail mainly for two reasons: logic errors in the code, and exception failures. Exception failures can account for up to 2/3 of system crashes [6], hence are worthy of ser...
Roy A. Maxion, Robert T. Olszewski
BMCBI
2008
174views more  BMCBI 2008»
14 years 10 months ago
Evolutionary approaches for the reverse-engineering of gene regulatory networks: A study on a biologically realistic dataset
Background: Inferring gene regulatory networks from data requires the development of algorithms devoted to structure extraction. When only static data are available, gene interact...
Cédric Auliac, Vincent Frouin, Xavier Gidro...
PROMISE
2010
14 years 4 months ago
Case-based reasoning vs parametric models for software quality optimization
Background: There are many data mining methods but few comparisons between them. For example, there are at least two ways to build quality optimizers, programs that find project o...
Adam Brady, Tim Menzies
PKDD
2004
Springer
155views Data Mining» more  PKDD 2004»
15 years 3 months ago
Ensemble Feature Ranking
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
Kees Jong, Jérémie Mary, Antoine Cor...
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
15 years 2 months ago
Malware detection using statistical analysis of byte-level file content
Commercial anti-virus software are unable to provide protection against newly launched (a.k.a “zero-day”) malware. In this paper, we propose a novel malware detection techniqu...
S. Momina Tabish, M. Zubair Shafiq, Muddassar Faro...