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» The data mining approach to automated software testing
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KDD
2010
ACM
247views Data Mining» more  KDD 2010»
14 years 11 months ago
Metric forensics: a multi-level approach for mining volatile graphs
Advances in data collection and storage capacity have made it increasingly possible to collect highly volatile graph data for analysis. Existing graph analysis techniques are not ...
Keith Henderson, Tina Eliassi-Rad, Christos Falout...
ECMDAFA
2009
Springer
138views Hardware» more  ECMDAFA 2009»
15 years 4 months ago
A Pattern Mining Approach Using QVT
Model Driven Software Development (MDSD) has matured over the last few years and is now becoming an established technology. Models are used in various contexts, where the possibili...
Jens Kübler, Thomas Goldschmidt
CSSE
2008
IEEE
15 years 4 months ago
Application of New Adaptive Higher Order Neural Networks in Data Mining
This paper introduces an adaptive Higher Order Neural Network (HONN) model and applies it in data mining such as simulating and forecasting government taxation revenues. The propo...
Shuxiang Xu, Ling Chen
CAV
2011
Springer
253views Hardware» more  CAV 2011»
14 years 1 months ago
HAMPI: A String Solver for Testing, Analysis and Vulnerability Detection
Abstract. Many automatic testing, analysis, and verification techniques for programs can effectively be reduced to a constraint-generation phase followed by a constraint-solving ...
Vijay Ganesh, Adam Kiezun, Shay Artzi, Philip J. G...
EDM
2010
140views Data Mining» more  EDM 2010»
14 years 11 months ago
Assessing Reviewer's Performance Based on Mining Problem Localization in Peer-Review Data
Current peer-review software lacks intelligence for responding to students' reviewing performance. As an example of an additional intelligent assessment component to such soft...
Wenting Xiong, Diane J. Litman, Christian D. Schun...