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» The data mining approach to automated software testing
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ILP
2007
Springer
15 years 3 months ago
Structural Statistical Software Testing with Active Learning in a Graph
Structural Statistical Software Testing (SSST) exploits the control flow graph of the program being tested to construct test cases. Specifically, SSST exploits the feasible paths...
Nicolas Baskiotis, Michèle Sebag
ENVSOFT
2008
175views more  ENVSOFT 2008»
14 years 9 months ago
Automated regression-based statistical downscaling tool
Many impact studies require climate change information at a finer resolution than that provided by Global Climate Models (GCMs). In the last 10 years, downscaling techniques, both...
Masoud Hessami, Philippe Gachon, Taha B. M. J. Oua...
ECSQARU
2005
Springer
15 years 3 months ago
Molecular Fragment Mining for Drug Discovery
The main task of drug discovery is to find novel bioactive molecules, i.e., chemical compounds that, for example, protect human cells against a virus. One way to support solving t...
Christian Borgelt, Michael R. Berthold, David E. P...
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 2 months ago
Estimating the number of segments in time series data using permutation tests
Segmentation is a popular technique for discovering structure in time series data. We address the largely open problem of estimating the number of segments that can be reliably di...
Kari Vasko, Hannu Toivonen
ICLP
2009
Springer
15 years 10 months ago
Integrating Software Testing and Run-Time Checking in an Assertion Verification Framework
Abstract. We present a framework that unifies unit testing and runtime verification (as well as static verification and static debugging). A key contribution of our overall approac...
Edison Mera, Manuel V. Hermenegildo, Pedro L&oacut...